Evidence map›Paper›PMID 41112732›Full record

ArticleFrontiers in nutrition2025

Nutritional trajectories in gastric cancer patients with early oral feeding.

Nan Yao, Haixia Chen, Leyao Han, Meishan Zhang, Meng Yang, Haijun Zhang, Xinglei Wang, Xinman Dou

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nan Yao *School of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Haixia Chen *Department of Nursing, The Second Hospital of Lanzhou University, Lanzhou, Gansu, China.
Leyao HanSchool of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Meishan ZhangSchool of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Meng YangSchool of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Haijun ZhangSchool of Medicine, Tongji University, Shanghai, China.
Xinglei WangSchool of Nursing, Lanzhou University, Lanzhou, Gansu, China.
Xinman DouSchool of Nursing, Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objectives: Evidence on postoperative nutritional dynamics in Chinese gastric cancer (GC) patients is currently limited. This study employs Group-Based Trajectory Modeling (GBTM) to identify Prognostic Nutritional Index (PNI) trajectory patterns and their factors among GC patients under early oral feeding (EOF) management. Methods: This retrospective study analyzed 124 GC patients undergoing total gastrectomy (2019-2024). PNI trajectories were identified using GBTM, and their associated factors were analyzed via multinomial logistic regression. Results: Three distinct trajectories emerged: "High nutritional status" (41.9%), "Rapidly declining" (7.3%), and "Decline-Recovery" (50.8%). Compared with the high nutritional status (49.99 ± 4.50), the baseline PNI of the decline-recovery group was lower (44.34 ± 3.57). High Morse Fall Scale (MFS) score ( Conclusion: Postoperative nutritional trajectories in GC patients managed with EOF are different. Functional impairment (e.g., low ADL, high MFS) and advanced pathological conditions were key determinants of unfavorable nutritional trajectories highlighting the need for targeted monitoring and individualized nutritional interventions for high-risk sub-groups.

Indexed as

gastric cancergroup-based trajectory modelingnutritional statusnutrition assessmentpostoperative periodretrospective studies

Identifiers

PMID41112732
PMCPMC12531070

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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.