Evidence map›Paper›PMID 42180602›Full record

ArticlePeerJ2026

Predictive value of calf circumference, prealbumin, and serum calcium for 28-day mortality in male sepsis patients with nutritional risk: a retrospective study.

Haodi Luan, Qianqian Liu, Hua Fan, Yahui Guo, Chenxi Cao, Jing Zhao, Jing Lin

Abstract read
In one paragraph

Article in PeerJ, 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

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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

7 authors.

Haodi Luan *Clinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Qianqian Liu *Department of Gastroenterology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Hua FanClinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Yahui GuoClinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Chenxi CaoClinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Jing ZhaoClinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Jing LinClinical Nutrition Department, Critical Care Medicine Department, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a life-threatening organ-dysfunction syndrome driven by infection. A substantial proportion of septic patients present with nutritional risk, a combination that worsens prognosis. Easily accessible early prognostic tools for this high-risk subset are lacking. Objective: To identify early risk factors for 28-day clinical death in sepsis patients with nutritional risk. Methods: A retrospective analysis of sepsis patients in the intensive care unit (ICU) at the Affiliated Hospital of Inner Mongolia Medical University (Jan 2022 to Jan 2025). Patients were categorized by 28-day outcome. Univariate and multivariate logistic regression identified risk factors; receiver operating characteristic (ROC) curves evaluated predictive performance. Results: Among 231 patients, 154 were male (mortality 13.0%) and 77 female (mortality 11.7%). In males, multivariate analysis identified calf circumference, serum prealbumin (PA), and serum calcium (Ca Conclusions: Calf circumference, PA, and Ca

Indexed as

CalciumLegPrealbuminSepsisAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedNutritional StatusPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsROC CurveCalciumPrealbuminNRS-2002Nutritional riskPrognostic assessmentSepsis

Identifiers

PMID42180602
PMCPMC13192455

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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.