ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026
Longitudinal trajectories of nutritional markers in patients with de novo Stage IV gastric cancer: a descriptive analysis using one-year survival as a reference.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study investigated patients whose initial diagnosis was de novo Stage IV gastric cancer, a population with extremely poor prognosis and limited evidence regarding how longitudinal nutritional changes evolve over time in advanced disease. We examined the trajectories of hemoglobin (Hgb), body mass index (BMI), and the prognostic nutritional index (PNI) as well as descriptively explored differences in nutritional trajectories between survival-defined groups based on one-year survival.
methodsA retrospective longitudinal study was conducted among patients with pathologically confirmed de novo Stage IV gastric adenocarcinoma at a medical center in Taiwan (2015-2024). Nutritional markers were collected at baseline and at 1, 2, 3, 6, and 9 months. Patients were descriptively grouped according to one-year overall survival, which was used solely as a post hoc analytic reference for exploratory comparative analyses of longitudinal nutritional trajectories. Between-group differences were tested using the Mann-Whitney U test, and generalized estimating equations were applied to evaluate group, time, and group × time effects.
resultsAmong 131 patients, 36 survived at the one-year timepoint (27.5%). Baseline demographics and tumor characteristics did not differ between survival-defined groups. Non-survivors consistently had lower Hgb (baseline-6 months: all p < .001; 9 months: p = .026). BMI showed no baseline differences; however, significant group × time interactions emerged at 6 and 9 months. PNI was significantly lower in non-survivors at every time point (all p < .001) and showed significant interactions at 3, 6, and 9 months, reflecting a more pronounced longitudinal decline.
conclusionIn de novo Stage IV gastric cancer, differences in PNI and Hgb were evident between survival-defined groups from diagnosis onward, whereas BMI reflected nutritional deterioration only at later stages. Longitudinal changes in PNI observed to parallel evolving nutritional and systemic vulnerability. These findings are descriptive and hypothesis-generating rather than predictive. Dynamic nutritional assessment may contribute to understanding patient trajectories in patients with advanced gastric cancer.
Indexed as
Identifiers
41927806What OpenQuestion holds
Registered trials
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.