Evidence map›Paper›PMID 42819483›Full record

ArticleFrontiers in medicine2026

Derivation of a novel clinical phenotype of sepsis in critically ill patients: a secondary analysis of a multicentre, prospective, observational study.

YuTao Zha, LiangWen Cui, ZhuSheng Nie, Rui Huang, Cheng Zhang, Liang Zhou, Ming Fang, XiaoChun Peng, Jie Zhang, Heng Wang and 3 more

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In one paragraph

Article 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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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

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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

13 authors.

YuTao Zha *Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
LiangWen Cui *Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
ZhuSheng Nie *Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Rui HuangDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Cheng ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Liang ZhouDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Ming FangDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
XiaoChun PengDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jie ZhangInformation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Heng WangCenter for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui, China.
Chao YuDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Nian LiuDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Min ShaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a highly heterogeneous syndrome. Providing personalized treatment for the various clinical phenotypes of sepsis has been a major challenge for critical care physicians. Methods: This study was a secondary analysis of data derived from a multicenter, prospective, observational study of sepsis patients. Based on relevance to sepsis onset or outcome, 25 parameters were selected by the derived cohort to derive sepsis phenotypes. Clustered phenotypes were derived via k-means clustering and examined in a sensitivity analysis using divisive hierarchical clustering. Then, the relationship between fluid resuscitation therapy and survival outcomes was assessed for each clustered phenotype using generalized estimating equations. Results: Patients with sepsis were categorized into Cluster A, B and C. Kaplan-Meier analysis showed Cluster A patients had the highest 28-day mortality ( Conclusion: The association between fluid resuscitation and clinical outcomes varied across sepsis phenotypes, suggesting potential heterogeneity in treatment response that requires further prospective validation.

Indexed as

clinical phenotypederivation cohortfluid resuscitationmachine learningmortalitysepsis

Identifiers

PMID42819483
PMCPMC13624142

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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.