Evidence map›Paper›PMID 39341971›Full record

ArticleScientific reports2024

Platelet count has a nonlinear association with 30-day in-hospital mortality in ICU end-stage kidney disease patients: a multicenter retrospective cohort study.

Pan Zhou, Jian-Hui Xiao, Yun Li, Li Zhou, Zhe Deng

Abstract readMulticenter Study
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Observational
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

5 authors.

Pan Zhou *Department of Emergency Medicine, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518035, China.
Jian-Hui Xiao *Department of Emergency Medicine, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518027, China.
Yun Li *Department of Clinical Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518035, China.
Li ZhouDepartment of Emergency Medicine, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518035, China.
Zhe DengDepartment of Emergency Medicine, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518035, China. dengz163@163.com.

Funding

Shenzhen Science and Technology Program JCYJ20180228163014668Shenzhen Second People's Hospital Clinical Research Fund of Guangdong Province High-level Hospital Construction Project No.20223357005
6 · The paper itself

Abstract

This study addresses the relationship between platelet count and 30-day in-hospital mortality in End-Stage Kidney Disease (ESRD) patients in the intensive care unit (ICU), a topic with limited existing evidence. Utilizing data from the US eICU-CRD v2.0 database (2014-2015), a retrospective cohort study was conducted involving 3700 ICU ESRD patients. We employed binary logistic regression, smooth curve fitting, and subgroup analyses to explore the association between platelet count and 30-day in-hospital mortality. The 30-day in-hospital mortality rate was 13.27% (491/3700), with a median platelet count of 188 × 10

Indexed as

Hospital MortalityIntensive Care UnitsKidney Failure, ChronicAgedFemaleHumansMaleMiddle AgedPlatelet CountRetrospective Studies30-day in-hospital mortalityICU ESRD patientsMulticenter studyNonlinear relationshipPlatelet count

Identifiers

PMID39341971
PMCPMC11439004

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.