Evidence map›Paper›PMID 42396912›Full record

ArticleIntegrative cancer therapies

NUTRISCORE: A Novel Nutrition-Based Nomogram to Predict Severe Neutropenia After Adjuvant Chemotherapy in Gastric Cancer.

Chun Gao, Li Zhu, Yi Xin Tong, Sheng Zhang

Abstract read
In one paragraph

Article in Integrative cancer therapies. 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

4 authors.

Chun GaoHuazhong University of Science and Technology, Wuhan, People's Republic of China.
Li ZhuHuazhong University of Science and Technology, Wuhan, People's Republic of China.
Yi Xin TongHuazhong University of Science and Technology, Wuhan, People's Republic of China.
Sheng ZhangHuazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0000-0003-0268-8593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop and validate a clinically applicable nomogram (NUTRISCORE) predicting severe neutropenia (Grade 3/4) across cycles 2 to 8 of adjuvant chemotherapy in gastric cancer.

methodsThis retrospective cohort study analyzed 391 patients receiving postoperative adjuvant chemotherapy (CAPEOX/XELOX/SOX) following curative laparoscopic D2 gastrectomy. Cohorts were stratified into derivation (n = 318; 1518 cycles) and validation (n = 73; 356 cycles) sets. Generalized Estimating Equations (GEE) were used to account for within-patient correlation of multiple cycles. Multivariable logistic regression identified independent predictors, with subsequent nomogram construction using R. Model performance was quantified through AUC-ROC and decision curve analysis (DCA).

resultsFour predictors emerged: age > 60 years (OR = 2.1,

conclusionsWe establish a nutrition-centric predictive tool for severe neutropenia, demonstrating robust accuracy in stratifying chemotherapy toxicity risk. This model directly informs personalized prophylactic strategies, warranting prospective multicenter validation.

Indexed as

NeutropeniaStomach NeoplasmsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantCohort StudiesFemaleGastrectomyHumansMaleMiddle AgedNomogramsRetrospective Studiesadjuvant chemotherapygastric cancernomogramnutritional statussevere neutropenia

Identifiers

PMID42396912
PMCPMC13332284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.