Evidence map›Paper›PMID 36059447›Full record

ArticleFrontiers in immunology2022

Association of longitudinal platelet count trajectory with ICU mortality: A multi-cohort study.

Jiajin Chen, Xi Gao, Sipeng Shen, Jingyuan Xu, Zhe Sun, Ruilang Lin, Zhixiang Dai, Li Su, David C Christiani, Feng Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 31 citations in OpenAlex.

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  14. Integrative omics and multi-cohort identifyJournal of biomedical research · 2025
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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

12 authors at 4 institutions in 2 countries.

Jiajin ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xi GaoDepartment of Immunology, School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Sipeng ShenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jingyuan XuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Zhe SunDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Ruilang LinDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhixiang DaiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Feng ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yongyue WeiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNHarvard University · USMassachusetts General Hospital · USZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Platelet (PLT) engages in immune and inflammatory responses, all of which are related to the prognosis of critically ill patients. Although thrombocytopenia at ICU admission contributes to in-hospital mortality, PLT is repeatedly measured during ICU hospitalization and the role of longitudinal PLT trajectory remains unclear. We aimed to identify dynamic PLT trajectory patterns and evaluate their relationships with mortality risk and thrombocytopenia. Methods: We adopted a three-phase, multi-cohort study strategy. Firstly, longitudinal PLT trajectory patterns within the first four ICU days and their associations with 28-day survival were tested in the eICU Collaborative Research Database (eICU-CRD) and independently validated in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Secondly, the relationships among PLT trajectory patterns, thrombocytopenia, and 28-day mortality were explored and validated. Finally, a Mortality GRade system for ICU dynamically monitoring patients (Mortality-GRID) was developed to quantify the mortality risk based on longitudinal PLT, which was further validated in the Molecular Epidemiology of Acute Respiratory Distress Syndrome (MEARDS) cohort. Results: A total of 35,332 ICU patients were included from three cohorts. Trajectory analysis clustered patients into ascending (AS), stable (ST), or descending (DS) PLT patterns. DS patients with high baseline PLT decline quickly, resulting in poor prognosis. AS patients have low baseline PLT but recover quickly, favoring a better prognosis. ST patients maintain low PLT, having a moderate prognosis in between ( Conclusion: Longitudinal PLT trajectory is a complementary predictor to baseline PLT for patient survival, even in patients without risk of thrombocytopenia. Mortality-GRID could identify patients at high mortality risk.

Indexed as

Respiratory Distress SyndromeThrombocytopeniaCohort StudiesCritical IllnessHumansIntensive Care UnitsPlatelet Countcritical careimmunityinflammationlongitudinal trajectorymulti-cohortplatelet countprognosis

Identifiers

PMID36059447
PMCPMC9437551
OpenAlexW4292332837

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.