Evidence mapPaperPMID 41170367Full record

ArticleFrontiers in nutrition2025

Metabolic syndrome worsens sarcopenia and reduces nutritional therapy benefits in advanced gastric cancer.

Lu Xu, Xinjie Zhang, Yuxin Feng, Vincent Kam Wai Wong, Wang Yao, Ying Feng

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. 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

6 authors.

Lu Xu *Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.
Xinjie Zhang *Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yuxin Feng *Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.
Vincent Kam Wai WongDr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, Macau SAR, China.
Wang YaoZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Ying FengDepartment of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence suggests metabolic syndrome (MetS) exacerbates sarcopenia progression and compromises nutritional interventions, yet its dual role as both etiological driver and therapeutic effect modifier remains uncharacterized. This study investigated MetS-related sarcopenia pathophysiology and assessed its impact on nutritional therapy efficacy in advanced gastric cancer. Patients and methods: We conducted a dual-phase investigation combining Mendelian randomization (MR) analysis of European-ancestry GWAS data ( Results: MR analysis of MetS components identified paradoxical causal effects: waist circumference increased appendicular lean mass (OR = 1.480, Conclusion: The integration of genetic and clinical findings shows that MetS components causally contribute to sarcopenia pathogenesis, and that the composite MetS phenotype confers nutritional therapy resistance. This establishes MetS's dual role as a driver of disease and a modifier of treatment efficacy.

Indexed as

gastric cancerMendelian randomizationmetabolic syndromenutritional therapysarcopenia

Identifiers

PMID41170367
PMCPMC12568025

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.