Evidence map›Paper›PMID 40631494›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Integrating Body Composition and Nutritional Indices: A Novel Prognostic Tool for Survival in Pancreatic Cancer.

Yiting Xu, Yang Chen, Gaowei Jin, Chenrui Yao, Yangyang Wang, Ziyang Wei, Zhihang Cai, Xuanhao Gu, Binbin Deng, Peilu Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. 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

13 authors.

Yiting XuDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yang ChenDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Gaowei JinDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chenrui YaoDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yangyang WangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ziyang WeiDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhihang CaiDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xuanhao GuDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Binbin DengDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Peilu WangDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Yuxiong FengZhejiang key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang key Laboratory of Frontier Medical Research on Cancer Metabolism, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Qi ZhangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-0516-8008
Tingbo LiangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

Major Research Plan of the National Natural Science Foundation of China 92474301National Administration of Traditional Chinese MedicineNational Key Research & Development Program 2020YFA0804300National Natural Science Foundation of China 32321002National Natural Science Foundation of China 82188102National Natural Science Foundation of China 82273338National Science and Technology Major Project 2024ZD0525100/2024ZD0525102/2024ZD0525104Zhejiang Provincial Administration of Traditional Chinese Medicine GZY-ZJ-KJ-23025
6 · The paper itself

Abstract

backgroundSarcopenia and malnutrition have been independently associated with a poorer prognosis in pancreatic ductal adenocarcinoma (PDAC), but their combined association with patient outcomes is not fully understood. This study aimed to systematically evaluate the synergistic effects of body composition parameters and nutritional index as prognostic indicators in patients with PDAC.

methodsA total of 596 patients with PDAC who underwent surgical resection from two centres were initially enrolled in this retrospective study. Body composition parameters, including the skeletal muscle index (SMI), subcutaneous adipose tissue index (SATI), visceral adipose tissue index (VATI) and skeletal muscle density (SMD), were assessed using a single cross-sectional image at the L3 level from preoperative computed tomography scans. The prognostic nutritional index (PNI) was used to assess nutritional status. The combined indices were defined as body composition parameters multiplied by PNI.

resultsA total of 463 patients were finally included in the analysis, with 339 in the training cohort and 124 in the validation cohort. The median (interquartile) age was 66 (60-72) years, and 274 (59.2%) were male. The median values of SMI, SATI, VATI, SMD, as well as the combined indices of these parameters with PNI, varied significantly by sex in the training cohort. Patients were categorized into sex-specific quartiles (Q1 to Q4) based on SMI × PNI levels. Both overall survival (OS) and disease-free survival (DFS) exhibited significant differences across these quartiles (p < 0.001). Though all body composition parameters and their combinations with PNI were independent predictors of OS in multivariate analysis, the combination of SMI × PNI demonstrated superior prognostic performance compared to other indices (c-statistics: 0.767, AICc: 1648.8). These results remained consistent across stratified analysis. The external validation cohort confirmed that SMI × PNI exhibited enhanced predictive and discriminative power compared with other indices.

conclusionsSMI × PNI represents a robust and accessible prognostic tool for assessing survival in patients with PDAC. Further prospective studies are needed to validate its effectiveness across diverse populations and clinical settings.

Indexed as

Body CompositionNutritional StatusNutrition AssessmentPancreatic NeoplasmsAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSarcopeniabody compositionnutritionpancreatic cancerprognosissurvival

Identifiers

PMID40631494
PMCPMC12238902

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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.