Evidence map›Paper›PMID 42256808›Full record

ArticleCritical care research and practice2026

Identification and Characterization of Sepsis Phenotypes in an Indian Cohort.

Fabia Edathadathil, Georg Gutjahr, Dipu Sathyapalan, Sanjeev Singh

Abstract read
In one paragraph

Article in Critical care research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Fabia EdathadathilDepartment of Health Science Research, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India, amrita.edu.ORCID https://orcid.org/0000-0001-5168-2652
Georg GutjahrDepartment of Health Science Research, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India, amrita.edu.ORCID https://orcid.org/0000-0002-1925-8349
Dipu SathyapalanDepartment of Internal Medicine and Division of Infectious Diseases, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India, amrita.edu.ORCID https://orcid.org/0000-0003-1098-9900
Sanjeev SinghAmrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Mata Amritanandamayi Marg RPS City Sector 88, Faridabad, Haryana, 121002, India, amrita.edu.ORCID https://orcid.org/0000-0002-0739-9988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis has a heterogenous clinical presentation with distinct regional epidemiological profiles. The study aims to identify clinical phenotypes from an Indian sepsis cohort. Methods: The cohort included all adult patients admitted through the emergency department with a presumed diagnosis of sepsis following Surviving Sepsis Guidelines criteria. The unsupervised k-means clustering method was used, and the identified Indian clusters were compared using distance matching to phenotypic clusters in Seymour et al., which had previously identified four reproducible sepsis phenotypes in large Western ICU cohorts. The association of focus of infection and outcomes among the clusters were assessed. Results: Of the 1009 patients, four clusters were identified. Age ( Conclusion: Understanding these unique phenotypes can guide personalized treatment and improve sepsis outcomes in resource-limited settings, highlighting the importance of localized research in sepsis management.

Identifiers

PMID42256808
PMCPMC13238234

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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.