Evidence map›Paper›PMID 41211659›Full record

ArticleAnnals of medicine2025

Chest CT-derived body composition parameters for outcome prediction in sepsis patients with pneumonia.

Xin Qiao, Xinyu Li, Qiuyue Wang, Rui Zheng

Abstract read
In one paragraph

Article in Annals of medicine, 2025. 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.

Xin QiaoDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Xinyu LiDepartment of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-7744-5281
Qiuyue WangDepartment of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China.
Rui ZhengDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aim to evaluate the potential contribution of chest computed tomography (CT)-derived body composition parameters in predicting adverse events in sepsis patients with pneumonia.

methodsA retrospective study was conducted on sepsis with pneumonia cases who visited Shengjing Hospital of China Medical University from January 2023 to September 2024. We used chest CT scans to quantify skeletal muscle area (SMA) at the fourth thoracic vertebra (T4) and the first lumbar vertebra (L1) levels, as well as abdominal circumference (AC), subcutaneous adipose tissue (SAT), and intramuscular adipose tissue (IMAT) at the L1 level.

resultsA total of 303 patients (203 men; median age 70 years, interquartile range 63-79) were included in the study. Fully adjusted models identified low SMA

conclusionsThe assessment of frailty status and visceral obesity, determined by chest CT measurements of low thoracic muscle mass and elevated AC, is independently correlated with an increased risk of admission to the MICU and mortality among sepsis patients with pneumonia. This underscores the significance of CT-derived body composition as a critical imaging biomarker that reflects the physiological reserve of sepsis patients and their associated risk of adverse events.

Indexed as

Body CompositionPneumoniaSepsisTomography, X-Ray ComputedAgedChinaFemaleHumansIntensive Care UnitsMaleMiddle AgedMuscle, SkeletalPrognosisRetrospective StudiesRisk FactorsBody compositionchest CTMICU admissionmortalitysepsis

Identifiers

PMID41211659
PMCPMC12604109

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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.