CC BY 4.0 · TH Open 2021; 05(03): e438-e448
DOI: 10.1055/s-0041-1732437
Original Article

Detection of Direct Oral Anticoagulants in Patient Urine Samples by Prototype and Commercial Test Strips for DOACs – A Systematic Review and Meta-analysis

Andrea Martini
1   Department of Medical Statistics and Biomathematics, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany
,
Job Harenberg
2   Ruprecht-Karls-University, Heidelberg, Germany
3   DOASENSE GmbH, Heidelberg, Germany
,
Rupert Bauersachs
4   Department of Vascular Medicine, Klinikum Darmstadt GmbH, Darmstadt, Germany
,
Jan Beyer-Westendorf
5   Thrombosis Research Unit, Department of Medicine I, Division Hematology, University Hospital “Carl Gustav Carus” Dresden, Dresden, Germany
,
Mark Crowther
6   Department of Medicine, McMaster University and Thrombosis and Atherosclerosis Research Institute, Hamilton, Ontario, Canada
,
7   Department of Pharmacy, Namur Thrombosis and Hemostasis Centre (NTHC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium
8   Qualiblood sa, Namur, Belgium
,
Ismail Elalamy
9   Hematology and Thrombosis Centre, Hôpital Tenon, INSERM U938, Sorbonne Université, AP-HP, France
10   I M Sechenov First Moscow State Medical University, Department of Obstetrics and Gynecology, Russia
,
Christel Weiss
1   Department of Medical Statistics and Biomathematics, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany
,
Svetlana Hetjens
1   Department of Medical Statistics and Biomathematics, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany
› Author Affiliations
 

Abstract

The DOAC Dipstick accurately detects the presence or absence of factor Xa (DXI) and thrombin inhibitor (DTI) classes of direct oral anticoagulants (DOACs) in patients' urine samples on DOAC treatment. The aim of the study was to systematically review the literature and compare the performance of prototype and commercial test strips with a meta-analysis.

A systematic literature search of electronic databases PubMed (MEDLINE) and Cochrane Library was performed. Heterogeneity between studies was calculated using the Chi-squared test and the I2 index. A random effects model was used to pool data to compare the performance of prototype and commercial test strips.

Using PRISMA reporting guidelines, four of 1,081 publications were eligible for inclusion in the meta-analysis: three reporting on prototype (DXI n = 658, DTI n = 586) and one on commercial test strips (DXI n = 451, DTI n = 429). Sensitivity and specificity of DXI and DTI detection did not differ significantly between the prototype and commercial test strips. Odds ratios were 0.718 and 0.365 for sensitivity and 1.211 and 1.072 for specificity of DXI and DTI (p-values between 0.3334 and 1.000), respectively. The pooled sensitivity and specificity values for DXI were 0.968 (p = 0.1290, I2 47.1%) and 0.979 (p = 0.1965, I2 35.9%), and for DTI 0.993 (p = 0.1870, I2 37.5%) and 0.993 (p = 0.7380, I2 0%), respectively.

Prototype and commercial DOAC test strips did not differ in their ability to detect DXI and DTI in patient urine samples. This supports the confidence in use of the DOAC Dipstick test, although it needs to be validated in specific patient populations.


#

Introduction

The number of patients with non-valvular atrial fibrillation and thromboembolic events is increasing, mainly because the population is aging.[1] [2] Direct oral anticoagulants (DOACs) are preferred over vitamin-K antagonists for preventing stroke in patients with non-valvular atrial fibrillation and for preventing and treating venous thromboembolism[3] [4] because DOACs cause fewer intracranial bleeds, have fewer interactions with food and other drugs, and have a faster onset and offset of action.[5] Furthermore, regular drug monitoring is not required with DOACs because of their more predictable pharmacodynamic and pharmacokinetic properties.[6]

DOACs can be detected in the laboratory by measuring the activated thromboplastin time and prothrombin time, although this depends on drug levels and reagent's sensitivity. Further tests include thrombin-specific clotting assays, such as the diluted thrombin time test and the ecarin clotting time. The viscoelastic hemostatic methods using thromboelastography is another test. DOACs can also be measured using chromogenic substrates and liquid chromatography tandem mass spectrometry (LC-MS/MS).[6] However, in emergency situations (such as bleeding, urgent surgery or thrombolysis), a fast, accessible and accurate point-of-care (POC) test is needed for detecting DOACs.[7]

A qualitative POC DOAC Dipstick test was developed to detect DOACs in the urine. This was possible because 35–80% of dabigatran, apixaban, edoxaban and rivaroxaban are excreted unchanged into the urine.[8] Differences between the two types of test strips were that prototype test strips determine DXI and DTI on separate strips for analysis in separate urine samples while the commercial DOAC Dipstick (DOASENSE GmbH, Heidelberg, Germany) has separate pads for DXI and DTI on one test strip. Material and the technique for immobilization of reagents on pads differed between the types of test strips. The medium for color identification by the observer was urine sample and surface of the pad of DOAC Dipstick for prototype and commercial versions of test strips, respectively. The correctness of investigator's interpretation of the color was performed by trained laboratory personal[9] and liquid-chromatography mass spectrometry (LC-MS/MS)[10] [11] for protype and commercial test strips, respectively. These differences could lead to different performance characteristics such as sensitivity, specificity, accuracy, negative and positive predictive values of the two types of test strips.

The aim of the investigation was to summarize available data in the literature on test strips performance to see whether the test can confidently be used in clinical practice. We systematically searched literature databases for studies investigating the detection of DXI and DTI in patient urine samples using test strips and conducted a meta-analysis to compare the performance of prototype and commercial type of test strips. In addition, based on the results of our meta-analysis we performed simulations to investigate the predictive values in populations with a lower proportion of DOAC intake.


#

Methods

Search Strategy

A systematic literature search was performed between 1993 up to October 2020 to identify relevant studies in PubMed (MEDLINE) and Cochrane Library databases. One additional abstract[12] was found in the Wiley Online Library. The literature search was performed in collaboration with librarians at the University of Heidelberg. The reference lists of all included papers were hand-searched to identify other relevant articles. The search string is listed in [Table 1].

Table 1

Search string for the meta-analysis

(“direct oral anticoagulant*”[tiab] OR doac*[tiab] OR”new oral anticoagulant*”[tiab] OR Noac*[tiab] OR”Dabigatran”[mh] OR “Rivaroxaban”[mh] OR “apixaban”[nm] OR “Rivaroxaban”[nm] OR “Dabigatran”[nm] OR “edoxaban” [nm] OR “apixaban”[tiab] OR “Rivaroxaban”[tiab] OR “Dabigatran”[tiab] OR “edoxaban” [tiab]) AND (“Point-of-Care Testing”[Mesh] OR Plasma[Mesh] OR Serum[Mesh] OR Urine[Mesh] OR “Point of care”[tiab] OR Plasma[tiab] OR Serum[tiab] OR Urine[tiab] OR Dipstick*[tiab] OR “Blood Coagulation Tests”[Mesh] OR “Coagulation”[tiab] OR “Mass Spectrometry”[Mesh] OR “Mass Spectrometry”[tiab] OR “International Normalized Ratio*”[tiab] OR INR[tiab] OR “Partial Thromboplastin Time”[tiab] OR aptt[tiab] OR Ptt[tiab] OR “Prothrombin Time*”[tiab] OR Pt[tiab] OR Thromboelastography[tiab] OR Thromboelastometry[tiab] OR “Thrombin Time*”[tiab] OR “whole blood clotting”[tiab] OR “chromogenic”[tiab] OR Hemoclot[tiab]) AND (“sensitivity and specificity”[Mesh] OR sensitiv*[tiab] OR “predictive value*”[tiab] OR accurac*[tiab] OR diagnosis[Subheading:noexp] OR diagnos*[tiab] OR specificity[tiab])

Inclusion criteria were the determination of DOACs in urine samples of patients treated with rivaroxaban, apixaban, edoxaban and dabigatran. Duplicate publications, narrative reviews, case reports, and studies that measured DOACs using coagulation and chromogenic tests, chromatography methods or blood based POC tests were excluded. Studies were screened and eligible studies were identified by one researcher (AM) and confirmed by another (SH). Any discrepancies were resolved by discussion. Each included study was evaluated for risk of bias using the checklist of methodological quality assessment using the QUADAS-2 method.[13] Risk of bias was assessed for patient selection, index test, reference standard, flow and timing. Applicability was granted for patient selection, index test, and reference standard. The risk of bias was considered low if all two or three categories were fulfilled, as high if one of the categories was unfulfilled, and unclear if more than one category were not fulfilled, respectively. All studies independent of their risk of bias were included in the analysis.[14]


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Statistical Analysis

Statistical analyses were performed using SAS software, release 9.4 (Cary, USA) and MetaDiSc software, release 1.4 (Madrid, Spain).[15] The qualitative data of the prototype and commercial test strips (true positive, true negative, false positive, and false negative values) were presented for rivaroxaban, apixaban, edoxaban, and dabigatran and stratified by study ([Table 2]).

Table 2

Data used for pooled analysis and meta-analysis

DOAC

Type of test strip

True positive

False positive

True negative

False negative

Study 1[20]

Rivaroxaban

Prototype

449

8

395

16

Dabigatran

480

4

476

0

Study 2[21]

Rivaroxaban

Prototype

77

2

50

1

Apixaban

64

3

62

1

Dabigatran

76

0

52

1

Study 3[22]

Rivaroxaban

Prototype

24

0

29

0

Apixaban

26

0

29

0

Dabigatran

29

0

29

0

Study 4[11]

Rivaroxaban

Commercial

147

8

421

3

Apixaban

160

10

Edoxaban

127

4

Dabigatran

427

3

448

2

DXI total

Prototype, commercial

1074

21

986

35

DTI total

Prototype, commercial

1012

7

1005

3

The sensitivity is defined as the proportion of true positive results in relation to the population treated with a DOAC (factor Xa or thrombin inhibitor) and the specificity as the proportion of true negative results in relation to the population of untreated controls (not treated with a factor Xa or thrombin inhibitor). Sensitivity and specificity of individual and pooled studies were analyzed using MetaDiSc. The sensitivities and specificities of prototype and commercial test strips were compared using Chi-squared test. If the presumptions of the Chi-squared test were not fulfilled, Fisher's exact test was used alternatively. Test results were considered as statistically significant at p-values below 0.05. Furthermore, odds ratios (OR) and 95% CI of sensitivity and specificity derived from the two types of test strips were considered as relative frequencies (not normally distributed data) and compared by Chi-squared test or Fisher's exact test as appropriate. Heterogeneity between studies was calculated using chi-squared heterogeneity test and the I2 index at a p-value of < 0.05. An I2 index value gauges heterogeneity - between 0 to 25% indicates insignificant heterogeneity; > 25% to 50% low heterogeneity; > 50% to 75% moderate heterogeneity; and > 75% high heterogeneity.[14] The random effects model according to DerSimonian and Laird was used to analyze pooled data[16]–this technique takes any heterogeneity between the studies into account. Forest plots were created for sensitivity and specificity of studies showing weight by size of points and in percent, values with 95% CI, I2 index and p-values for differences.[17] The area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve was calculated to assess the diagnostic accuracy of the meta-analysis.[18] Based on the sensitivity and specificity analyses, the accuracy, negative predictive value (NPV) and positive predictive value (PPV) of test strips results were calculated for the simulated prevalences of 1%, 10%, 30% and 60% based on Bayes' rule. The simulated prevalence represents the simulated proportion of a population who take DOACs in a given period of time.

The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.[19]


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#

Results

Identified Studies

1,081 potentially eligible studies were found in the database search. After removing duplicate publications, narrative reviews, case reports, studies that did not detect DOACs, and studies that did not detect DOACs in urine samples of patients treated with DOACs, four studies were eligible for inclusion in the meta-analysis. The PRISMA flow chart shows the exclusion and inclusion of studies ([Fig. 1]).

Zoom Image
Fig. 1 PRISMA flow chart for selection of included studies.

Three studies used the prototype test strips. Study 1 was a single-center study (n = 465 rivaroxaban, n = 480 dabigatran).[20] Study 2 was an international collaborative study performed with urine samples of patients treated with rivaroxaban (n = 78), apixaban (n = 65), and dabigatran (n = 77) including the results of day one of two days of testing by participating centers.[21] Study 3 evaluated urine samples of patients treated with rivaroxaban (n = 24), apixaban (n = 26), and dabigatran (n = 29) and of controls not treated with anticoagulants (n = 29)[22] of which preliminary results were reported.[12] Results of a positive or negative adjudication of colors of factor Xa and thrombin inhibitor pads of the test strips by observers were compared with those of trained laboratory personal. Study 4 used the commercial DOAC Dipstick in a multicentre trial using urine samples of patients treated with rivaroxaban (n = 150), apixaban (n = 170), edoxaban (n = 131), and dabigatran (n = 429) ([Table 2]). In this study, the thrombin inhibitor pad of the DOAC Dipstick served as a negative control if patients were treated with a DXI and vice versa. Therefore, a control group not taking an anticoagulant was not required. Results of the visual adjudication of colors of factor Xa and thrombin inhibitor pads of DOAC Dipstick by observers were analyzed following dichotomization of the quantitative results of DOACs in urine at a cut-off value of <30 ng/ml DOAC determined liquid chromatography mass spectrometry.[11] As reported, participants of all four studies were on stable treatment with DOACs and were admitted to outpatient care units. All patients had a diagnosis of non-valvular atrial fibrillation or venous thromboembolism. DOACs were given orally at doses of 10 mg od, 15 mg od, or 20 mg od (rivaroxaban), 2.5 mg and 5 mg bid (apixaban), 30 mg and 60 mg od (edoxaban), and 110 mg and 150 mg bid (dabigatran). Urine samples were collected at random time between 1.5 hour and 24 hour after administration of the immediate prior dose. Patients had to have normal renal function for treatment with a DOAC and had stable health conditions when investigated. Creatinine clearance was not determined in patients.[11] [20] [21] [22]


#

Risk of Bias

Study quality was evaluated using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2), a standardized tool for quality assessment of studies of diagnostic accuracy. All studies were open label. All patients had diagnoses of non-valvular atrial fibrillation and venous thromboembolism. They were included consecutively for studies 1, 3, and 4 (low risk of bias). Study 2 used samples of selected patients (unclear risk). The index test was compared in studies 1, 2 and 3 to visual analysis of test pads by laboratory trained personal (low risk) and in study 4 to LC-MS/MS (low risk). The flow and timing of the index test and reference standard was performed the same day (studies 1 and 3, low risk) and was variable for studies 2 and 4. However, DOACs stored at -24°C in urine samples are stable over 24 months (https://doasense.de/files/ENGLISH_IFU_DOASENSE-Control-Urines_DOASENSE-WI7-5-8-EN-Rev02.pdf) resulting in an adjudication of low risk of bias. Applicability assessment was the same as for study quality ([Table 3]).

Table 3

Risk of bias of the trials assessed by Quandas-2 as a standardized tool for quality assessment of studies of diagnostic accuracy

Study, Reference

Risk of bias

Applicability concerns

Patient selection

Index test

Reference standard

Flow and timing

Patient selection

Index test

Reference standard

Study 1[20]

low

low

low

low

low

low

low

Study 2[21]

unclear

low

low

unclear

unclear

low

low

Study 3[22]

low

low

low

low

low

low

low

Study 4[11]

low

low

low

low

low

low

low


#

Comparison of Prototype and Commercial Test Strips

The results of the individual studies were summarized as true positive, false positive, true negative and false negative detection of factor Xa and thrombin inhibitors in urine of patients treated with the DXIs rivaroxaban, apixaban and edoxaban and the DTI dabigatran ([Table 2]).

The sensitivity, specificity and accuracy ranged between 0.941 and 0.998 at all simulated prevalences (1%, 10%, 30% and 60%) for all DOACs and both prototype and commercial test strips. The PPV decreased with decreasing prevalence as expected for DOACs. In contrast, the NPV increased up to 0.999 for all DOACs and both types of test strips with decreasing prevalence. No clinically relevant differences were found between prototype and commercial test strips ([Table 4]).

Table 4

Simulated comparison of sensitivity, specificity, PPV, NPV and accuracy for the prototype and commercial test strips at a prevalence between 1% and 60%

Prototype test strip

Commercial test strip

Prevalence

1%

10%

30%

60%

1%

10%

30%

60%

DXI

Sensitivity

0.973

0.962

Specificity

0.978

0.981

PPV

0.304

0.828

0.949

0.985

0.343

0.851

0.957

0.987

NPV

0.999

0.997

0.988

0.960

0.999

0.996

0.984

0.946

Accuracy

0.978

0.977

0.976

0.975

0.981

0.979

0.976

0.970

DTI

Sensitivity

0.998

0.995

Specificity

0.993

0.993

PPV

0.586

0.940

0.984

0.995

0.602

0.943

0.985

0.996

NPV

0.999

0.999

0.999

0.997

0.999

0.999

0.998

0.993

Accuracy

0.993

0.993

0.994

0.996

0.993

0.993

0.994

0.996

Rivaroxaban

Sensitivity

0.970

0.980

Specificity

0.979

0.981

PPV

0.322

0.839

0.953

0.986

0.347

0.854

0.957

0.987

NPV

0.999

0.996

0.987

0.956

0.999

0.998

0.991

0.970

Accuracy

0.979

0.978

0.977

0.974

0.981

0.981

0.981

0.981

Apixaban

Sensitivity

0.989

0.941

Specificity

0.968

0.981

PPV

0.238

0.775

0.930

0.979

0.338

0.849

0.956

0.987

NPV

0.999

0.999

0.995

0.983

0.999

0.993

0.975

0.918

Accuracy

0.968

0.970

0.974

0.981

0.981

0.977

0.969

0.957

The frequencies of correct positive, correct negative, false positive and false negative detection of factor Xa and thrombin inhibitors using prototype and commercial test strips are shown in [Table 5]. The specificity of pooled data on DXI and DTI detection by prototype and commercial test strips was not significantly different. The sensitivity of prototype and commercial version of test strips was also not significantly different for DXI and DTI ([Table 5]).

Table 5

Sensitivity and specificity data: Frequencies of correct positive, correct negative, false positive and false negative results by pooled data using prototype and commercial test strips to detect DXI and DTI

Prototype test strip

Commercial test strip

Total

p Value

Sensitivity

DXI

True positive

640

434

1074

0.3334*

False negative

18

17

35

DTI

True positive

585

427

1012

0.5768°

False negative

1

2

3

Specificity

DXI

True negative

565

421

986

0.6730*

False positive

13

8

21

DTI

True negative

557

448

1005

1.0000°

False positive

4

3

7

*= Chi-squared test, °= Fisher's Exact test


The sensitivity and specificity of the pooled data from prototype and commercial test strips were also not significantly different for DXIs and DTI, with values between 0.962 and 0.998 (p-values between 0.3334 and 1.0000). The ORs of sensitivity were higher for DXI and DTI tests using prototype test strips and the ORs of specificity were higher for DXI and DTI of the commercial test trips (all not significant), respectively ([Table 6]). The sub-analysis for rivaroxaban and apixaban also revealed high sensitivity and specificity values between 0.941 and 0.989 for both types of test strips and ORs were all not significantly different ([Table 6]). Edoxaban could not be evaluated because data were only available from study 4.[11]

Table 6

Sensitivity, specificity and OR with 95%CIs for detection of DXIs, DTI, rivaroxaban and apixaban by prototype and commercial test strips

Prototype test strip

value (95% CI)

Commercial test strip value (95% CI)

OR (95% CI)

p Value

DXI

Sensitivity

0.973 (0.957; 0.984)

0.962 (0.940; 0.978)

0.718 (0.366; 1.409)

0.3334*

Specificity

0.978 (0.962; 0.988)

0.981 (0.972; 0.988)

1.211 (0.497; 2.948)

0.6730*

DTI

Sensitivity

0.998 (0.991; 1.000)

0.995 (0.983; 0.999)

0.365 (0.033; 4.038)

0.5768°

Specificity

0.993 (0.982; 0.998)

0.993 (0.981; 0.999)

1.072 (0.239; 4.816)

1.0000°

Rivaroxaban

Sensitivity

0.970 (0.952; 0.982)

0.980 (0.943; 0.996)

1.515 (0.438; 5.238)

0.7800°

Specificity

0.979 (0.962; 0.990)

0.981 (0.964; 0.992)

1.110 (0.434; 2.839)

0.8271*

Apixaban

Sensitivity

0.989 (0.940; 1.000)

0.941 (0.895; 0.971)

0.178 (0.022; 1.411)

0.1033°

Specificity

0.968 (0.910; 0.993)

0.981 (0.964; 0.992)

1.735 (0.452; 6.666)

0.4254°

*= Chi-squared test, °= Fisher's Exact test.


An OR > 1 indicates that DOAC Dipstick has a higher sensitivity or specificity compared with prototype test strip.



#

Meta-analysis

The forest plots in [Fig. 2] show the sensitivity and specificity of DXI and DTI (dabigatran, rivaroxaban, and apixaban) detection in four studies. The sensitivity and specificity were 0.968 and 0.979 for DXI detection, respectively ([Fig. 2A]) and both 0.993 for DTI ([Fig. 2B]). The sub-analysis of rivaroxaban ([Fig. 2C]) and apixaban ([Fig. 2D]) data showed sensitivity and specificity values between 0.958 and 0.980. Inconsistency values ranged from 0% to 58.3%.

Zoom Image
Fig. 2 Forest plot showing sensitivity (upper panel) and specificity (lower panel) analysis results for studies with DXI ([Figure 2A]), DTI ([Figure 2B]), rivaroxaban ([Figure 2C]), and apixaban ([Figure 2D]) using the prototype (green) and commercial (blue) test strips. Pooled data are shown in red. Values are presented with 95% CI. Size of the circles represents the weight of the studies. P-values were determined using the Chi-squared test. Inconsistency/Heterogeneity of studies is shown in %. (A) Forest plots DXI, sensitivity (upper panel), specificity (lower panel). (B) Forest plots DTI, sensitivity (upper panel), specificity (lower panel). (C) Forest plots rivaroxaban, sensitivity (upper panel), specificity (lower panel). (D) Forest plots apixaban, sensitivity (upper panel), specificity (lower panel).
Zoom Image

The area under the curve (AUC) of summary receiver operating characteristic (SROC) curve analysis showed AUC values of 0.9957 for DXI, 0.9990 for DTI dabigatran, 0.9964 for rivaroxaban, and 0.9947 for apixaban. Edoxaban data were only available for the commercial DOAC Dipstick test so are not reported.


#
#

Discussion

The present analysis demonstrates that the small-scale laboratory prototype and the large-scale produced commercial test strips have comparable performances despite the multiple differences of productions techniques and methods to prove the correctness of the visual color assessment of the observers. Moreover, the meta-analysis results quantified the evidence of diagnostic accuracy for the DXI and DTI with its sensitivity and specificity from commercial DOAC Dipstick results in existing studies. Accordingly, the results of the meta-analysis should increase the confidence in the validity of DOAC Dipstick to qualitatively detect DOACs in urine samples of patients treated with apixaban, edoxaban, rivaroxaban, and dabigatran.[11]

Other POCT tests able to determine the presence of DOACs from blood samples have also been reported in the literature. Thromboelastographic methods,[23] global coagulation assays [24], specific coagulation POCT testing methods using ecarin reagent for determination of dabigatran [25], a dielectric microsensor after recalcification of a small amount whole blood sample [26] and others.[27] The performance of the urine based DOAC Dipstick to identify DOACs on the studied populations was at least as high as those obtained obtained with specific testing from patients' plasma and whole blood samples using chromogenic assays for DXI or tests based on ecarin reagent for dabigatran measurements.

The results of this meta-analysis confirm these high sensitivity and specificity of the prototype and commercial test strips and thereby increases the confidence in the results of the DOAC Dipstick test- supporting their use in emergency care medicine and other medical conditions where rapid medical decision-making processes are required.[11] [27] Importantly, test results need to be interpreted only in connection with the patient's clinical situation. Examples for clinical indications are patients with acute ischemic stroke to help in thrombolysis or mechanical decision-making, acute or haemorrhagic for deciding to use an antidote, before an acute major urgent surgical intervention, before epidural anesthesia, to confirm stopping of a DOAC before a required temporary interruption or to check adherence to therapy.[11]

The comparative simulated prevalence analysis confirmed that the prototype and commercial test strips have comparable performances with no clinically relevant differences. Measures of sensitivity and specificity indicate the quality of a diagnostic test, but the question still remains whether DOACs are really present in a patient's system. In these situations, predictive values are important since they indicate the magnitude to which the test result can be relied on to rule out clinically important concentrations of drug. The PPV and NPV represent the proportions of positive or negative test results that were identified correctly. However, these values depend on the fraction of people evaluated who are taking a DOAC at the time of analysis. In a clinical context, the PPV should be interpreted with caution because if only a few patients are taking a DOAC, the PPV will be lower than was seen in this study. The PPV also depends on the prevalence in a specific clinical context. In the studies included in our meta-analysis, outpatients with stable DOAC therapy were included – in “real world use” the PPV may vary by disease (such as infections, malignancy, emergency care, major operations, thromboembolism and major bleeding, among others).

In contrast, the NPV increased with decreasing prevalence, indicating a high accuracy of the test strips and suggesting a higher probability of no DOACs being present in a patient's system with increasing numbers of patients being analyzed. This is likely unless DOAC excretion into the urine is reduced by nephropathy, or if food, drugs and drug metabolites change the urine's color.[28] [29] [30] [31] In these circumstances, the creatinine pad and urine color pad are important controls for accurate DOAC Dipstick results.[11] [32]

In this analysis, we combined the results of four studies in one random-effect meta-analysis. In contrast to the fixed effects model, the random effects model assesses both intra- and inter-study variance and provides wider confidence intervals and a better estimate of the effect size.[33] The meta-analysis showed a pooled sensitivity and specificity of >96% for DXIs (rivaroxaban, apixaban and edoxaban) and DTI (dabigatran). Regarding the accuracy of both types of test strips, the area under the curve values of the SROC were 0.9957 for DXIs and 0.9990 for DTIs. In addition, the overall heterogeneity of sensitivity and specificity values for all DOACs were categorized as low (between 0% to 58.3%) according Higgins et al.[14] By combining the four eligible studies in one meta-analysis, this analysis provides evidence for the generalizability of study results using the commercial version of test strips.

Limitations of the present analysis need to be considered. All studies were performed under the guidance of the same investigator. However, the tests were evaluated by different participants in the studies which corresponds to the clinical application. The four included studies used not completely identical study designs and investigated different DOACs: apixaban was investigated in three of the four studies[11] [21] [22] and edoxaban in one study.[11] This means the exploratory power of edoxaban was low in the meta-analysis. However, the one study investigating edoxaban was a large-scale study[11] that provided enough data to evaluate the accuracy of edoxaban detection by the DOAC Dipstick. A further potential limitation was the heterogeneity between studies; however, we found heterogeneity to be low to moderate with values between 0% and 58% when compared with the literature.[34] Future studies should further investigate this heterogeneity using subgroup analysis, sensitivity analysis or meta-regression.[35]

The DOAC Dipstick was indicated as a useful tool for detecting DOACs in emergency care by the NICE Guidance document.[36] Furthermore, the DOAC Dipstick was mentioned in a Guideline document for the treatment of the femoral fracture as a suitable on-site test in patients with acute hip-fracture on handling further anticoagulant medication.[37] Several investigator-initiated studies are ongoing in acute major orthopaedic surgery, in patients with ischemic stroke to support rapid medical decision processes and adherence to their therapy for validation of DOAC Dipstick test. They include investigations of plasma levels of rivaroxaban, edoxaban, apixaban and dabigatran compared with qualitative DOAC Dipstick results in more heterogenous patient populations. The DOAC Dipstick may also be used to manage patients who need to be switched from DOAC therapy immediately to low-molecular weight heparin upon admission to hospital such as upon hospitalization for COVID-19.[38]

In conclusion, this study shows the robustness of the DOAC Dipstick in detecting DOACs in patient urine samples, thereby increase the confidence that this test is suitable for use in clinical practice. The analysis highlighted the high accuracy of the DOAC Dipstick in detecting rivaroxaban and apixaban. Simulation of prevalence analysis showed the NPV is very high, which is important when intake of DOACs is unknown. Further studies are ongoing to validate the DOAC Dipstick in various clinical emergency situations and to compare DOAC levels quantified in blood with DOAC levels detected qualitatively in urine samples.

What is Known about the Topic?

  • Rapid and accurate determination of oral direct factor Xa (DXI) and thrombin inhibitors (DTI) remains challenging in emergency medical situations.

  • Several studies have been published on the detection of DXI and DTI in patient urine samples by prototype and commercial test strips.

  • Differences between the two types of test strips include that DOAC Dipstick test determines DXI and DTI on one strip only, materials and techniques for immobilization of reagents and medium for color identification.

What Does this Paper Add?

  • No statistically significant differences were found for sensitivity and specificity between both versions of test strips increasing the confidence in the high performance characteristics of the commercial version of DOAC Dipstick.

  • In this systematic review and meta-analysis, both included types of test strips demonstrated an over 96% sensitivity and specificity for detecting DXI and DTI in a single test only from patients' urine samples.

  • The simulation of the prevalence showed the very high negative predictive value that is important in a general population and in specific patients when intake of DOACs in unknown.


#
#

No conflict of interest has been declared by the author(s).

Disclosure of Conflict of Interest

AM, SH, CW: no conflict to disclose.


JBW: Grants and personal fees from Bayer, grants and personal fees from Daiichi Sankyo, grants and personal fees from DOASENSE, grants and personal fees from Portola, grants from Pfizer.


JH: Founder and managing director of DOASENSE, GmbH. Not related to this work: a patent US 9,133,501 licensed, a patent EU 2643475 licensed, a patent US 9,944,971 licensed, and a patent EU 2723886 licensed.


IE: Grants and personal fees from Boehringer Ingelheim, grants and personal fees from Bayer, grants and personal fees from Pfizer, grants and personal fees from Bristol Myers Squibb.


MC: Grants from Bayer, personal fees from Shionogi, personal fees from Alexion, grants from Leo pharma, personal fees from Pfizer and Daiichi, grants from Heart and Stroke Foundation, other funding from Alnylam, personal fees from Octapharma, personal fees from Bristol Myers Squibb Canada, personal fees from CSL Behring, personal fees from Alexion, personal fees from Servier Canada, personal fees from Diagnostica Stago, personal fees from Asahi Kasei.


RB: Personal fees from DOASENSE GmbH, personal fees from Bayer AG, personal fees from Bristol Myers Squibb, personal fees from Daichii Sankyo, personal fees from Pfizer.


  • References

  • 1 Choi SY, Kim MHH, Lee KM. et al. Age-dependent anticoagulant therapy for atrial fibrillation patients with intermediate risk of ischemic stroke: A nationwide population-based study. Thromb Haemost 2020; Dec 11 DOI: 10.1055/a-1336-0476.
  • 2 Dentali F, Crowther M. Venous thromboembolism, age and hospitalisation: A potentially deadly combination. Thromb Haemost 2010; 104 (04) 655-656
  • 3 Lip GYH, Collet JP, de Caterina R. et al. Antithrombotic Therapy in Atrial Fibrillation Associated with Valvular Heart Disease: Executive Summary of a Joint Consensus Document from the European Heart Rhythm Association (EHRA) and European Society of Cardiology Working Group on Thrombosis, Endorsed by the ESC Working Group on Valvular Heart Disease, Cardiac Arrhythmia Society of Southern Africa (CASSA), Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), South African Heart (SA Heart) Association and Sociedad Latinoamericana de Estimulación Cardíaca y Electrofisiología (SOLEACE). Thromb Haemost 2017; 117 (12) 2215-2236
  • 4 Ortel TL, Neumann I, Ageno W. et al. American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism. Blood Adv 2020; 4 (19) 4693-4738
  • 5 Chan N, Sobieraj-Teague M, Eikelboom JW. Direct oral anticoagulants: evidence and unresolved issues. Lancet 2020; 396 (10264): 1767-1776
  • 6 Douxfils J, Ageno W, Samama CM. et al. Laboratory testing in patients treated with direct oral anticoagulants: a practical guide for clinicians. J Thromb Haemost 2018; 16 (02) 209-219
  • 7 Gosselin RC, Adcock DM, Bates SM. et al. International Council for Standardization in Haematology (ICSH) Recommendations for Laboratory Measurement of Direct Oral Anticoagulants. Thromb Haemost 2018; 118 (03) 437-450
  • 8 Gómez-Outes A, Suárez-Gea ML, Lecumberri R, Terleira-Fernández AI, Vargas-Castrillón E. Direct-acting oral anticoagulants: pharmacology, indications, management, and future perspectives. Eur J Haematol 2015; 95 (05) 389-404
  • 9 Harenberg J, Du S, Krämer S. et al. Novel methods for assessing oral direct factor Xa and thrombin inhibitors: use of point-of-care testing and urine samples. Semin Thromb Hemost 2013; 39 (01) 66-71
  • 10 Harenberg J, Schreiner R, Hetjens S, Weiss C. Detecting Anti-IIa and Anti-Xa Direct Oral Anticoagulant (DOAC) Agents in Urine using a DOAC Dipstick. Semin Thromb Hemost 2019; 45 (03) 275-284
  • 11 Harenberg J, Beyer-Westendorf J, Crowther M. et al; Working Group Members. Accuracy of a Rapid Diagnostic Test for the Presence of Direct Oral Factor Xa or Thrombin Inhibitors in Urine-A Multicenter Trial. Thromb Haemost 2020; 120 (01) 132-140
  • 12 Harenberg J, Warttinger U, Hetjens S. et al. Reliability and validity of a point of care test from urine samples of patients on therapy with Apixaban, rivaroxaban and dabigatran. Res Pract Thromb Haemost 2017; 1 (Suppl. 01) PB454
  • 13 Whiting PF, Rutjes AW, Westwood ME. et al; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155 (08) 529-536
  • 14 Higgins JP, Altman DG, Gøtzsche PC. et al; Cochrane Bias Methods Group, Cochrane Statistical Methods Group. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 2011; 343: d5928
  • 15 Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6 (07) 31 DOI: 10.1186/1471-2288-6-31.
  • 16 DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7 (03) 177-188
  • 17 Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327 (7414): 557-560
  • 18 Jones CM, Athanasiou T. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann Thorac Surg 2005; 79 (01) 16-20
  • 19 Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol 2009; 62 (10) 1006-1012
  • 20 Harenberg J, Krämer S, Du S, Weiss C, Krämer R. Concept of a point of care test to detect new oral anticoagulants in urine samples. Thromb J 2013; 11 (01) 15 DOI: 10.1186/1477-9560-11-15.
  • 21 Harenberg J, Du S, Wehling M. et al. Measurement of dabigatran, rivaroxaban and apixaban in samples of plasma, serum and urine, under real life conditions. An international study. Clin Chem Lab Med 2016; 54 (02) 275-283
  • 22 Harenberg J, Martini A, Du S, Krämer S, Weiss C, Hetjens S. Performance characteristics of DOAC Dipstick in determining direct oral anticoagulants in urine. Clin Appl Thromb Hemost 2021; 27: 1076029621993550 DOI: 10.1177/1076029621993550.
  • 23 Schäfer ST, Wiederkehr T, Kammerer T. et al. Real-time detection and differentiation of direct oral anticoagulants (rivaroxaban and dabigatran) using modified thromboelastometric reagents. Thromb Res 2020; 190 (06) 103-111
  • 24 Härtig F, Birschmann I, Peter A. et al. Point-of-care testing for emergency assessment of coagulation in patients treated with direct oral anticoagulants including edoxaban. Neurol Res Pract.. 2021 Mar 1;3(1):9. doi: 10.1186/s42466-021-00105-4. PMID: 336
  • 25 Härtig F, Birschmann I, Peter A. et al. Specific point- of-care testing of coagulation in outients treated with dabigatran. Thromb Haemost 2021; 121 (06) 782-791
  • 26 Maji D, Opneja A, Suster MA. et al. Monitoring DOACs with a novel dielectric microsensor: A clinical study. Thromb Haemost 2021; 121 (01) 58-69
  • 27 Douxfils J, Adcock DM, Bates SM. et al. 2021 Update of the International Council for Standardization in Haematology Recommendations for Laboratory Measurement of Direct Oral Anticoagulants. Thromb Haemost 2021; 121 (08) 1008-1020
  • 28 de Menezes Neves PDM, Coelho Ferreira BM, Mohrbacher S, Renato Chocair P, Cuvello-Neto AL. Purple urine bag syndrome: a colourful complication of urinary tract infection. Lancet Infect Dis 2020; 20 (10) 1215 DOI: 10.1016/S1473-3099(20)30323-6.
  • 29 Dicko A, Roh ME, Diawara H. et al. Efficacy and safety of primaquine and methylene blue for prevention of Plasmodium falciparum transmission in Mali: a phase 2, single-blind, randomised controlled trial. Lancet Infect Dis 2018; 18 (06) 627-639
  • 30 Sawicki T, Topolska J, Bączek N. et al. Characterization of the profile and concentration of betacyanin in the gastric content, blood and urine of rats after an intragastric administration of fermented red beet juice. Food Chem. 2020 30(5) 313:126169.
  • 31 Echeverry G, Hortin GL, Rai AJ. Introduction to urinalysis: historical perspectives and clinical application. Methods Mol Biol 2010; 641 (01) 1-12
  • 32 Jilma B, Buchtele N, Merrelaar A. et al. Dark-coloured urine impacts test results of the novel DOAC Dipstick point-of-care strip test. Res Pract Thromb Haemost. 2019 ,3:S1, PB 191
  • 33 Borenstein M, Hedges LV, Higgins JP, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010; 1 (02) 97-111
  • 34 Giustozzi M, Agnelli G, Del Toro-Cervera J. et al. Direct oral anticoagulants for the treatment of acute venous thromboembolism associated with cancer: A systematic review and meta-analysis. Thromb Haemost 2020; 120 (07) 1128-1136
  • 35 Lee YH. An overview of meta-analysis for clinicians. Korean J Intern Med (Korean Assoc Intern Med) 2018; 33 (02) 277-283
  • 36 NICE. DOAC Dipstick for detecting direct oral anticoagulants Medtech innovation briefing [MIB248] Published date: 02 February. 2021 https://www.nice.org.uk/advice/mib248 , assessed April 10th 2021
  • 37 Gemeinsamer Bundesausschuss über eine Änderung der Richtlinie zur Versorgung der hüftgelenknahen Femurfraktur:. https://www.g-ba.de/beschluesse/4655/ assessed April 10th 2021
  • 38 Harenberg J, Bauersachs R, Ageno W. Does Chronic Treatment with Oral Anticoagulants Ameliorate the Clinical Course of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Coronavirus Disease 2019 (COVID-19)?. Semin Thromb Hemost 2021; 47 (04) 338-340

Address for correspondence

Job Harenberg MD
Professor of Medicine, DOASENSE GmbH
Waldhofer Strasse 102, 69123 Heidelberg
Germany   

Publication History

Received: 17 June 2021

Accepted: 28 June 2021

Article published online:
24 September 2021

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

  • References

  • 1 Choi SY, Kim MHH, Lee KM. et al. Age-dependent anticoagulant therapy for atrial fibrillation patients with intermediate risk of ischemic stroke: A nationwide population-based study. Thromb Haemost 2020; Dec 11 DOI: 10.1055/a-1336-0476.
  • 2 Dentali F, Crowther M. Venous thromboembolism, age and hospitalisation: A potentially deadly combination. Thromb Haemost 2010; 104 (04) 655-656
  • 3 Lip GYH, Collet JP, de Caterina R. et al. Antithrombotic Therapy in Atrial Fibrillation Associated with Valvular Heart Disease: Executive Summary of a Joint Consensus Document from the European Heart Rhythm Association (EHRA) and European Society of Cardiology Working Group on Thrombosis, Endorsed by the ESC Working Group on Valvular Heart Disease, Cardiac Arrhythmia Society of Southern Africa (CASSA), Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), South African Heart (SA Heart) Association and Sociedad Latinoamericana de Estimulación Cardíaca y Electrofisiología (SOLEACE). Thromb Haemost 2017; 117 (12) 2215-2236
  • 4 Ortel TL, Neumann I, Ageno W. et al. American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism. Blood Adv 2020; 4 (19) 4693-4738
  • 5 Chan N, Sobieraj-Teague M, Eikelboom JW. Direct oral anticoagulants: evidence and unresolved issues. Lancet 2020; 396 (10264): 1767-1776
  • 6 Douxfils J, Ageno W, Samama CM. et al. Laboratory testing in patients treated with direct oral anticoagulants: a practical guide for clinicians. J Thromb Haemost 2018; 16 (02) 209-219
  • 7 Gosselin RC, Adcock DM, Bates SM. et al. International Council for Standardization in Haematology (ICSH) Recommendations for Laboratory Measurement of Direct Oral Anticoagulants. Thromb Haemost 2018; 118 (03) 437-450
  • 8 Gómez-Outes A, Suárez-Gea ML, Lecumberri R, Terleira-Fernández AI, Vargas-Castrillón E. Direct-acting oral anticoagulants: pharmacology, indications, management, and future perspectives. Eur J Haematol 2015; 95 (05) 389-404
  • 9 Harenberg J, Du S, Krämer S. et al. Novel methods for assessing oral direct factor Xa and thrombin inhibitors: use of point-of-care testing and urine samples. Semin Thromb Hemost 2013; 39 (01) 66-71
  • 10 Harenberg J, Schreiner R, Hetjens S, Weiss C. Detecting Anti-IIa and Anti-Xa Direct Oral Anticoagulant (DOAC) Agents in Urine using a DOAC Dipstick. Semin Thromb Hemost 2019; 45 (03) 275-284
  • 11 Harenberg J, Beyer-Westendorf J, Crowther M. et al; Working Group Members. Accuracy of a Rapid Diagnostic Test for the Presence of Direct Oral Factor Xa or Thrombin Inhibitors in Urine-A Multicenter Trial. Thromb Haemost 2020; 120 (01) 132-140
  • 12 Harenberg J, Warttinger U, Hetjens S. et al. Reliability and validity of a point of care test from urine samples of patients on therapy with Apixaban, rivaroxaban and dabigatran. Res Pract Thromb Haemost 2017; 1 (Suppl. 01) PB454
  • 13 Whiting PF, Rutjes AW, Westwood ME. et al; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155 (08) 529-536
  • 14 Higgins JP, Altman DG, Gøtzsche PC. et al; Cochrane Bias Methods Group, Cochrane Statistical Methods Group. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 2011; 343: d5928
  • 15 Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6 (07) 31 DOI: 10.1186/1471-2288-6-31.
  • 16 DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7 (03) 177-188
  • 17 Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327 (7414): 557-560
  • 18 Jones CM, Athanasiou T. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann Thorac Surg 2005; 79 (01) 16-20
  • 19 Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol 2009; 62 (10) 1006-1012
  • 20 Harenberg J, Krämer S, Du S, Weiss C, Krämer R. Concept of a point of care test to detect new oral anticoagulants in urine samples. Thromb J 2013; 11 (01) 15 DOI: 10.1186/1477-9560-11-15.
  • 21 Harenberg J, Du S, Wehling M. et al. Measurement of dabigatran, rivaroxaban and apixaban in samples of plasma, serum and urine, under real life conditions. An international study. Clin Chem Lab Med 2016; 54 (02) 275-283
  • 22 Harenberg J, Martini A, Du S, Krämer S, Weiss C, Hetjens S. Performance characteristics of DOAC Dipstick in determining direct oral anticoagulants in urine. Clin Appl Thromb Hemost 2021; 27: 1076029621993550 DOI: 10.1177/1076029621993550.
  • 23 Schäfer ST, Wiederkehr T, Kammerer T. et al. Real-time detection and differentiation of direct oral anticoagulants (rivaroxaban and dabigatran) using modified thromboelastometric reagents. Thromb Res 2020; 190 (06) 103-111
  • 24 Härtig F, Birschmann I, Peter A. et al. Point-of-care testing for emergency assessment of coagulation in patients treated with direct oral anticoagulants including edoxaban. Neurol Res Pract.. 2021 Mar 1;3(1):9. doi: 10.1186/s42466-021-00105-4. PMID: 336
  • 25 Härtig F, Birschmann I, Peter A. et al. Specific point- of-care testing of coagulation in outients treated with dabigatran. Thromb Haemost 2021; 121 (06) 782-791
  • 26 Maji D, Opneja A, Suster MA. et al. Monitoring DOACs with a novel dielectric microsensor: A clinical study. Thromb Haemost 2021; 121 (01) 58-69
  • 27 Douxfils J, Adcock DM, Bates SM. et al. 2021 Update of the International Council for Standardization in Haematology Recommendations for Laboratory Measurement of Direct Oral Anticoagulants. Thromb Haemost 2021; 121 (08) 1008-1020
  • 28 de Menezes Neves PDM, Coelho Ferreira BM, Mohrbacher S, Renato Chocair P, Cuvello-Neto AL. Purple urine bag syndrome: a colourful complication of urinary tract infection. Lancet Infect Dis 2020; 20 (10) 1215 DOI: 10.1016/S1473-3099(20)30323-6.
  • 29 Dicko A, Roh ME, Diawara H. et al. Efficacy and safety of primaquine and methylene blue for prevention of Plasmodium falciparum transmission in Mali: a phase 2, single-blind, randomised controlled trial. Lancet Infect Dis 2018; 18 (06) 627-639
  • 30 Sawicki T, Topolska J, Bączek N. et al. Characterization of the profile and concentration of betacyanin in the gastric content, blood and urine of rats after an intragastric administration of fermented red beet juice. Food Chem. 2020 30(5) 313:126169.
  • 31 Echeverry G, Hortin GL, Rai AJ. Introduction to urinalysis: historical perspectives and clinical application. Methods Mol Biol 2010; 641 (01) 1-12
  • 32 Jilma B, Buchtele N, Merrelaar A. et al. Dark-coloured urine impacts test results of the novel DOAC Dipstick point-of-care strip test. Res Pract Thromb Haemost. 2019 ,3:S1, PB 191
  • 33 Borenstein M, Hedges LV, Higgins JP, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010; 1 (02) 97-111
  • 34 Giustozzi M, Agnelli G, Del Toro-Cervera J. et al. Direct oral anticoagulants for the treatment of acute venous thromboembolism associated with cancer: A systematic review and meta-analysis. Thromb Haemost 2020; 120 (07) 1128-1136
  • 35 Lee YH. An overview of meta-analysis for clinicians. Korean J Intern Med (Korean Assoc Intern Med) 2018; 33 (02) 277-283
  • 36 NICE. DOAC Dipstick for detecting direct oral anticoagulants Medtech innovation briefing [MIB248] Published date: 02 February. 2021 https://www.nice.org.uk/advice/mib248 , assessed April 10th 2021
  • 37 Gemeinsamer Bundesausschuss über eine Änderung der Richtlinie zur Versorgung der hüftgelenknahen Femurfraktur:. https://www.g-ba.de/beschluesse/4655/ assessed April 10th 2021
  • 38 Harenberg J, Bauersachs R, Ageno W. Does Chronic Treatment with Oral Anticoagulants Ameliorate the Clinical Course of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Coronavirus Disease 2019 (COVID-19)?. Semin Thromb Hemost 2021; 47 (04) 338-340

Zoom Image
Fig. 1 PRISMA flow chart for selection of included studies.
Zoom Image
Fig. 2 Forest plot showing sensitivity (upper panel) and specificity (lower panel) analysis results for studies with DXI ([Figure 2A]), DTI ([Figure 2B]), rivaroxaban ([Figure 2C]), and apixaban ([Figure 2D]) using the prototype (green) and commercial (blue) test strips. Pooled data are shown in red. Values are presented with 95% CI. Size of the circles represents the weight of the studies. P-values were determined using the Chi-squared test. Inconsistency/Heterogeneity of studies is shown in %. (A) Forest plots DXI, sensitivity (upper panel), specificity (lower panel). (B) Forest plots DTI, sensitivity (upper panel), specificity (lower panel). (C) Forest plots rivaroxaban, sensitivity (upper panel), specificity (lower panel). (D) Forest plots apixaban, sensitivity (upper panel), specificity (lower panel).
Zoom Image