Evidence map›Paper›PMID 27884245›Full record

ArticleJournal of the American College of Cardiology2016

Acute Kidney Injury in Asians With Atrial Fibrillation Treated With Dabigatran or Warfarin.

Yi-Hsin Chan, Yung-Hsin Yeh, Lai-Chu See, Chun-Li Wang, Shang-Hung Chang, Hsin-Fu Lee, Lung-Sheng Wu, Hui-Tzu Tu, Chi-Tai Kuo

Open access · hybridAbstract read
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In one paragraph

Article in Journal of the American College of Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Anticoagulation in Patients with Chronic Kidney Disease.American journal of nephrology · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Anticoagulation-related nephropathy for the internist: a concise review.American journal of cardiovascular disease · 2020
    Review
  15. Article
  16. Article
  17. Glomerular Hematuria: Cause or Consequence of Renal Inflammation?International journal of molecular sciences · 2019
    Review
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yi-Hsin ChanCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yung-Hsin YehCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Lai-Chu SeeDepartment of Public Health, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Biostatistics Core Laboratory, Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Chun-Li WangCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shang-Hung ChangCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Hsin-Fu LeeCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Lung-Sheng WuCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Hui-Tzu TuDepartment of Public Health, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chi-Tai KuoCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address: chitai@cgmh.org.tw.
Chang Gung Memorial Hospital · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether dabigatran is associated with a lower risk of acute kidney injury (AKI) in patients with nonvalvular atrial fibrillation (NVAF) remains unknown.

objectivesThe authors compared the risk of AKI in Asians with NVAF who were prescribed dabigatran versus warfarin.

methodsThe authors analyzed patients enrolled in the Taiwan nationwide retrospective cohort study from June 1, 2012, to December 31, 2013. Dabigatran and warfarin were taken by 7,702 and 7,885 NVAF patients without a history of chronic kidney disease (CKD) and 2,256 and 2,089 NVAF patients with a history of CKD, respectively. A propensity-score weighted method was used to balance covariates across study groups.

resultsA total of 6,762 (88%) and 940 (12%) CKD-free patients and 2,025 (90%) and 231 (10%) CKD patients took dabigatran 110 mg and 150 mg twice daily, respectively. Dabigatran was associated with a lower risk of AKI than warfarin for either the CKD-free (hazard ratio [HR]: 0.62; 95% confidence interval [CI]: 0.49 to 0.77; p < 0.001) or CKD (HR: 0.56; 95% CI: 0.46 to 0.69; p < 0.001) cohort. As the increment in CHA

conclusionsAmong Asians with NVAF, dabigatran is associated with a lower risk of AKI than warfarin.

Indexed as

Acute Kidney InjuryAnticoagulantsAntithrombinsAtrial FibrillationDabigatranDose-Response Relationship, DrugFollow-Up StudiesHumansIncidenceRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateTaiwanThromboembolismTime FactorsAnticoagulantsAntithrombinsDabigatranWarfarinacute kidney injuryatrial fibrillationdirect thrombin inhibitorwarfarin

Identifiers

PMID27884245
OpenAlexW2556994020

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.