Evidence map›Paper›PMID 42549343›Full record

SynthesisFrontiers in medicine2026

Determinants of thrombocytopenia in critically ill patients: a systematic review and meta-analysis.

Xiaoming Su, Xuefang Ben, Yanjie Tian

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xiaoming SuDepartment of Cardiac Surgery, Affiliated Hospital of Hebei University, Baoding, China.
Xuefang BenOutpatient Department, Beidaihe Rest and Recuperation Center, Qinhuangdao, China.
Yanjie TianThe 82nd Group Army Hospital of the People's Liberation Army, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thrombocytopenia frequently occurs in critically ill patients and is associated with adverse clinical outcomes in the intensive care unit (ICU). Although numerous studies have explored potential contributors, the factors associated with the development of thrombocytopenia in critically ill populations have not been consistently summarized. This study aimed to synthesize available evidence and identify determinants associated with thrombocytopenia in critically ill patients. Methods: A systematic search of PubMed, Embase, Web of Science, the Cochrane Library, CNKI, Wang fang and VIP were performed from database inception to 20 January 2026. Observational studies reporting factors associated with thrombocytopenia in critically ill patients were considered eligible. Two reviewers independently screened studies and extracted relevant data. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). Meta-analysis was conducted using Stata15 software, and pooled estimates were calculated using a random-effects model. Results: A total of 13 cohort studies involving 27,147 critically ill patients were included, among whom 4,820 developed thrombocytopenia. The pooled analysis indicated that bleeding was associated with a higher occurrence of thrombocytopenia (OR = 3.49, 95% CI: 1.70-7.19). A similar association was observed for sepsis (OR = 2.32, 95% CI: 1.74-3.09). Impaired liver function was also linked to an increased likelihood of thrombocytopenia (OR = 1.55, 95% CI: 1.14-2.11). In addition, a Simplified Acute Physiology Score (SAPS) < 20 showed a modest association with thrombocytopenia (OR = 1.09, 95% CI: 1.05-1.14). Conclusion: Bleeding, sepsis, impaired liver function, and lower SAPS scores were associated with a higher likelihood of thrombocytopenia among critically ill patients. These findings highlight several clinical conditions that frequently accompany platelet decline in ICU settings and may assist clinicians in identifying patients who require closer monitoring. Additional prospective research may help clarify the underlying mechanisms and further define the clinical implications of these associations.

Indexed as

critically ill patientsintensive care unitmeta-analysisrisk factorsthrombocytopenia

Identifiers

PMID42549343
PMCPMC13431168

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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.