Evidence map›Paper›PMID 41698652›Full record

Observational studyThe Journal of international medical research2026

Association between triglyceride glucose-body mass index and all-cause mortality in patients with sepsis: Evidence from a retrospective cohort study.

Yufan Pu, Xiang Zhou, Xuejing Li, Jiang Xu

Abstract readObservational Study
In one paragraph

Observational study in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Yufan PuThe Affiliated Huai'an Hospital of Xuzhou Medical University, China.ORCID 0000-0001-8172-8535
Xiang ZhouThe Affiliated Huai'an Hospital of Xuzhou Medical University, China.
Xuejing LiThe Affiliated Huai'an Hospital of Xuzhou Medical University, China.
Jiang XuThe Affiliated Huai'an Hospital of Xuzhou Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundSepsis remains a leading cause of mortality in critically ill patients, necessitating the identification of reliable prognostic markers. The triglyceride glucose-body mass index, which combines lipid and glucose metabolism, may serve as a valuable predictor of long-term outcomes in this population.MethodsThis study employed a retrospective observational cohort design and analyzed data from the MIMIC-IV database encompassing 2424 septic patients admitted between 2008 and 2019. Patients were categorized into quartiles based on triglyceride glucose-body mass index values. The primary outcomes assessed were all-cause mortality rates at 30, 90, and 180 days as well as 1-year post-admission, and analysis was performed using multivariable Cox proportional hazards models.ResultsIn total, 2424 septic patients meeting the inclusion criteria were finally included in the analyses. Lower triglyceride glucose-body mass index values have been associated with higher long-term mortality outcomes in critically ill septic patients. However, higher triglyceride glucose-body mass index quartiles were associated with a significant reduction in mortality risk at 180 days and 1 year after admission, even after adjustment for potential confounding variables. Patients in the third (hazard ratio: 0.81, 95% confidence interval: 0.67-0.98,

Indexed as

Blood GlucoseBody Mass IndexSepsisTriglyceridesAgedBiomarkersCritical IllnessFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseTriglyceridesall-cause mortalitycritically ill patientsprognostic markersepsisTriglyceride glucose-body mass index

Identifiers

PMID41698652
PMCPMC12914071

What Socratic 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 Socratic graph.