Evidence map›Paper›PMID 39496692›Full record

ArticleScientific reports2024

Platelet count has a U-shaped association with mortality in hemodialysis patients.

Xinju Zhao, Angelo Karaboyas, Liangying Gan, Fan Fan Hou, Xinling Liang, Xiaonong Chen, Yuqing Chen, Zhaohui Ni, Roberto Pecoits-Filho, Li Zuo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Xinju ZhaoDepartment of Nephrology, Peking University People's Hospital, Unit 10C in Ward Building, 11 Xizhimennan Street, Xicheng District, Beijing, 100044, China.
Angelo KaraboyasDOPPS Program Area, Arbor Research Collaborative for Health, Ann Arbor, Michigan, USA.
Liangying GanDepartment of Nephrology, Peking University People's Hospital, Unit 10C in Ward Building, 11 Xizhimennan Street, Xicheng District, Beijing, 100044, China.
Fan Fan HouDivision of Nephrology, Nanfang Hospital, National Clinical Research Center of Kidney Disease, State Key Laboratory of Organ Failure Research, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Xinling LiangDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xiaonong ChenDivision of Nephrology, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yuqing ChenRenal Division, Peking University First Hospital, Beijing, China.
Zhaohui NiDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Roberto Pecoits-FilhoDOPPS Program Area, Arbor Research Collaborative for Health, Ann Arbor, Michigan, USA.
Li ZuoDepartment of Nephrology, Peking University People's Hospital, Unit 10C in Ward Building, 11 Xizhimennan Street, Xicheng District, Beijing, 100044, China. zuoli@bjmu.edu.cn.

Funding

Beijing Natural Science Foundation 7222201Peking University People's Hospital Scientific Research Development Funds RDJ 2022- 39
6 · The paper itself

Abstract

Our previous manuscript showed that thrombocytopenia predicts all-cause mortality in Chinese hemodialysis (HD) patients. Based on the role of platelets in coagulation, clot formation, and systemic inflammation, we speculate that high platelets increase risk of thrombo-embolic events, hence the mortality. However, research evidence is currently lacking. Therefore, we utilized data from a very large international cohort study to explore the association of platelet counts with mortality and cardiovascular (CV) death in hemodialysis (HD) patients. International data from 396 facilities enrolled in the Dialysis Outcomes and Practice Patterns Study (DOPPS) phase 5 (2012-2015) were analyzed. Participants were divided into 3 groups according to their platelet counts (low: <100, normal: 100-300, high: >300*10

Indexed as

Renal DialysisAgedCardiovascular DiseasesChinaCohort StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedPlatelet CountRisk FactorsSwedenChronic kidney diseaseEnd-stage kidney diseaseHemodialysisMortalityPlatelet

Identifiers

PMID39496692
PMCPMC11535514

What OpenQuestion holds

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Registered trials

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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.