Evidence map›Paper›PMID 31390997›Full record

SynthesisBMC nephrology2019

Effect of antiplatelet therapy on cardiovascular and kidney outcomes in patients with chronic kidney disease: a systematic review and meta-analysis.

Xiaole Su, Bingjuan Yan, Lihua Wang, Jicheng Lv, Hong Cheng, Yipu Chen

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Antiplatelet agents for chronic kidney disease.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Article
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  5. Review
  6. Biomarker-based prediction of radial artery occlusion after cardiac catheterization.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  7. Article
  8. Guideline for Chronic Coronary Syndrome - 2025.Arquivos brasileiros de cardiologia · 2025
    Article
  9. Article
  10. Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Xiaole SuDivision of Nephrology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Street, Chaoyang District, Beijing, China.
Bingjuan YanDivision of Nephrology, Shanxi Medical University Second Hospital, Shanxi Kidney Disease Institute, No.382, Wuyi Road, Xinghualing Distirct, Taiyuan, China.
Lihua WangDivision of Nephrology, Shanxi Medical University Second Hospital, Shanxi Kidney Disease Institute, No.382, Wuyi Road, Xinghualing Distirct, Taiyuan, China.
Jicheng LvDivision of Nephrology, Peking University First Hospital, Peking University Institute of Nephrology, No.8, Xishiku Street, Xicheng District, Beijing, China.
Hong ChengDivision of Nephrology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Street, Chaoyang District, Beijing, China.
Yipu ChenDivision of Nephrology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Street, Chaoyang District, Beijing, China. chen_yipu@163.com.
Beijing Anzhen Hospital · CNShanxi Medical University · CNCapital Medical University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe benefits and risks of antiplatelet therapy for patients with chronic kidney disease (CKD) remain controversial. We undertook a systematic review and meta-analysis to investigate the effects of antiplatelet therapy on major clinical outcomes.

methodsWe systematically searched MEDLINE, Embase, and the Cochrane Library for trials published before April 2019 without language restriction. We included rrandomized controlled trials that involved adults with CKD and compared antiplatelet agents with controls.

resultsFifty eligible trials that included at least one event were identified, providing data for 27773patients with CKD, including 4518 major cardiovascular events and 1962 all-cause deaths. Antiplatelet therapy produced a 15% (OR, 0.85; 95% CI 0.74-0.94) reduction in the odds of major cardiovascular events (P = 0.002), a 48% reduction for access failure events (OR, 0.52; 95% CI, 0.31-0.73), but had no significantly effect on all-cause death (OR, 0.87; 95% CI, 0.71-1.01) or kidney failure events (OR, 0.87; 95% CI, 0.32-1.55). Adverse events were significantly increased by antiplatelet therapy, including major (OR, 1.33; 95% CI, 1.11-1.59) or minor bleeding (OR, 1.66; 95% CI, 1.27-2.05). Among every 1000 persons with CKD treated with antiplatelet therapy for 12 months, 23 major cardiovascular events will be prevented while nine major bleeding events will occur.

conclusionsMajor prevention with antiplatelet agents (cardiovascular events and access failure), might outweigh the risk of bleeding, and there seemed to be an overall net benefit. Individual evaluation and careful monitoring are required.

Indexed as

Arteriovenous Shunt, SurgicalVascular Access DevicesCardiovascular DiseasesCause of DeathDisease ProgressionHemorrhageHumansOdds RatioPlatelet Aggregation InhibitorsRandomized Controlled Trials as TopicRenal DialysisRenal InsufficiencyRenal Insufficiency, ChronicThrombosisPlatelet Aggregation InhibitorsAntiplatelet therapyCardiovascular eventsChronic kidney diseaseMeta-analysis

Identifiers

PMID31390997
PMCPMC6686545
OpenAlexW2966697950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.