Skip to main content

Table 1 Baseline characteristics of the studies

From: Direct comparison of non-vitamin K antagonist oral anticoagulant versus warfarin for stroke prevention in non-valvular atrial fibrillation: a systematic review and meta-analysis of real-world evidences

Study

Country

Enrolment period

Data source

Drugs

Participants

CHA2DS2VASc

HASBLED

Follow-up

Primary statistical method

NOS

Adeboyeje G, 2017 [24]

USA

November 2009 to January 2016

HealthCore Integrated Research Environment

A/D/R/W

44057

3.3 (mean)

2.1 (mean)

139–285 days (median)

PSW

7

Amin A, 2017 [25]

USA

January 2012 to December 2014

Center of Medicare and Medicaid Services

A/D/R/W

180020

4.4–4.7 (mean)

3.1–3.3 (mean)

196.1–203.8 days (median)

PSM

7

Bang OY, 2020 [26]

South Korea

January 2015 and November 2016

Korean Health Insurance Review and Assessment Service Database

A/D/R/W

48389

4.4–4.52 (mean)

3.5–3.54 (mean)

105–175 days (median)

PSW

8

Cha MJ, 2017 [27]

South Korea

January 2014 to December 2015

Korean National Health Insurance Service Database

A/D/R/W

34833

3.51–3.6 (mean)

NA

1.2 years (mean)

PSM

8

Chan YH, 2018 [28]

Taiwan

June 2012 to December 2016

Taiwan National Health Insurance Research Database

A/D/R/W

73074

3.26–3.89 (mean)

2.64–2.97 (mean)

0.76–1.47 years (mean)

PSW

7

Chan YH, 2019 [29]

Taiwan

June 2012 to December 2017

Taiwan National Health Insurance Research Database

A/D/E/R/W

89683

3.6 (mean)

2.6–2.7 (mean)

16 months

PSW

8

Cho MS, 2019 [30]

Korea

July 2015 to December 2016

Korean National Health Insurance Service Database

A/D/R/W

56504

3.5–3.7 (mean)

2.5–2.6 (mean)

15 months (median)

PSW

8

Coleman CI, 2017 [31]

USA

January 2012 to June 2015

Truven MarketScan

A/D/R/W

9684

5 (median)

3–4 (median)

0.5–0.6 years (mean)

PSM

8

Costa OS, 2020 [32]

USA

November 2010 to 30 September 2018

Optum Research Database

R/W

71226

3 (median)

2 (median)

2 years (median)

PSM

8

Deitelzweig S, 2017 [33]

USA

January 2013 to September 2015

Humana Research Database

A/D/R/W

32488

4.3–4.6 (mean)

2.9–3.1 (mean)

6.4–7.1 months (mean)

PSM

7

Graham DJ, 2015 [34]

USA

October 2010 to December 2012

Medicare

D/W

134414

NA

NA

180 days

PSM

8

Graham DJ, 2019 [35]

USA

October 2010 to September 2015

Medicare

A/D/R/W

448586

NA

NA

300 days

PSM

8

Halvorsen S, 2017 [36]

Norway

January 2013 to June 2015

Norwegian Patient Registry

Norwegian Prescription Database

A/D/R/W

32675

2.46–3.09 (mean)

NA

143–212 days (median)

Cox proportional hazard model

7

Hernandez I, 2015 [37]

USA

October 2010 to October 2011

Medicare

D/W

9404

NA

NA

177 days (mean)

PSW

8

Hsu CC, 2018 [38]

Taiwan

January 1999 to December 2015

Taiwan National Health Insurance Research Database

D/R/W

1211

NA

NA

1.7 years (median)

PSW

7

Huybrechts KF, 2020 [39]

USA

October 2010 to September 2015

IBM MarketScan

Medicare

Optum Research Database

A/D/R/W

169112

3.01–3.05 (mean)

2.25–2.26 (mean)

1 year

PSM

8

Kjerpeseth LJ, 2019 [40]

Norway

July 2013 to December 2015

Norwegian Prescription Database

Norwegian Patient Registry

Norwegian Cause of Death Registry

National Registry

A/D/R/W

30820

2.9–3.5 (mean)

2.2–2.6 (mean)

365 days

Cox proportional hazard model

7

Kohsaka S, 2020 [41]

Japan

March 2011 to July 2018

Japanese Administrative Claims

A/D/E/R/W

73989

3.8 (mean)

NA

2 years

PSM

8

Larsen TB, 2016 [42]

Denmark

August 2011 to October 2015

Danish National Prescription Registry

Danish National Patient Register

Danish Civil Registration System

A/D/R/W

61678

2.7 (mean)

2.2 (mean)

1.9 years (mean)

PSW

8

Lauffenburger JC, 2015 [43]

USA

October 2010 to December 2012

Truven Health MarketScan

Medicare

D/W

64935

2.3–2.9 (mean)

NA

358 days (mean)

PSW

8

Lee SR, 2018 [44]

South Korea

January 2014 to December 2016

National Health Insurance Service Database

E/W

16244

3.22–3.25 (mean)

NA

0.3 to 0.9 years (median)

PSM

9

Lee SR, 2019 (1) [45]

South Korea

January 2014 to December 2016

National Health Insurance Service Database

A/D/E/R/W

24974

3 (mean)

NA

1.2 years (median)

PSW

9

Lee SR, 2019 (2) [46]

South Korea

January 2015 to December 2017

National Health Insurance Service Database

A/D/E/R/W

116804

3.54–3.6 (mean)

2.69–2.71 (mean)

1 year

PSW

9

Li X, 2017 [47]

USA

January 2012 to September 2015

Truven MarketScan

IMS PharMetrics Plus Database

Optum Clinformatics Data Mart

Humana Research Database

A/W

76940

3.2 (mean)

2.6 (mean)

179.2–199.9 days (mean)

PSM

8

Lip YH, 2016 (1) [48]

USA

January 2013 to December 2013

Truven MarketScan

Medicare

A/D/R/W

29338

2.58–3.22 (mean)

NA

90.37–127.55 days (median)

Cox proportional hazard model

7

Lip YH, 2016 (2) [49]

USA

January 2012 to December 2014

Truven MarketScan

Medicare

A/D/R/W

45361

2.6–3 (mean)

2–2.2 (mean)

148.1–178.1 days (median)

PSM

7

Maura G, 2015 [50]

France

July 2011 to November 2012

French National Health Insurance Information System

French Hospital Discharge Database

D/R/W

32807

2.4–3.6 (mean)

2–2.4 (mean)

80–87 days (median)

PSM

9

Mitsuntisuk P, 2020 [51]

Thailand

January 2012 to April 2018

9 Hospitals in Thailand

A/D/R/W

2055

3.25–3.86 (mean)

1.27–1.65 (mean)

1.9–2.82 years (mean)

PSW

8

Nielsen PB, 2017 [52]

Denmark

August 2011 to February 2016

Danish National Prescription Registry

Danish Civil Registration System

Danish National Patient Register

A/D/R/W

55644

3.3 (mean)

2.4 (mean)

2.5 years

PSW

8

Rutherford OCW, 2020 [53]

Norway

January 2013 to December 2017

The Norwegian Patient Registry

The Norwegian Prescription Database

A/D/R/W

65563

2.93–3.23 (mean)

2.25–2.43 (mean)

12 months

PSM

8

Staerk L, 2017 [54]

Denmark

August 2011 to December 2015

Danish National Prescription Registry

Danish Civil Registration System

Danish National Patient Register

A/D/R/W

43299

2–2.2 (mean)

2.7–3.11 (mean)

204–386 days (median)

Cox proportional hazard model

7

Villines TC, 2015 [55]

USA

October 2009 to July 2013

Department of Defense Database

D/W

25586

3.4 (mean)

3.9 (mean)

217.2–297.3 days (mean)

PSM

7

Yao X, 2016 [56]

UA

October 2010 to June 2015

OptumLabs Data Warehouse

A/D/R/W

76354

3–4 (median)

2 (median)

6 months

PSM

7

Yu HT, 2018 [57]

Korea

January 2016 to December 2016

National Health Insurance Service

E/W

9537

4.2 (mean)

NA

5 months (median)

PSM

8

  1. A = apixaban, CHA2DS2-VASc = congestive heart failure, hypertension, age 75 years or older, diabetes mellitus, previous stroke/transient ischemic attack, vascular disease, age 65 to 74 years, D = dabigatran, E = edoxaban, HASBLED = Hypertension, Abnormal renal or liver function, Stroke, Bleeding history, Labile international normalized ratio (INR), age ≥ 65 years, and antiplatelet Drug or alcohol use, NA = not available, NOS = Newcastle-Ottawa Scale, PSM = propensity score matching, PSW = propensity score weighting, R = rivaroxaban, W = warfarin