ArticleAmerican journal of translational research2021
Prediction model of objective response after neoadjuvant chemotherapy in patients with locally advanced gastric cancer.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Perioperative versus adjuvant chemotherapy for resectable gastric cancer: a meta-analysis of randomized controlled trials.Frontiers in oncology · 2025Pooled it
- Progress and current trends in prediction models for the occurrence and prognosis of cancer and cancer-related complications: a bibliometric and visualization analysis.Frontiers in oncology · 2025Pooled it
- Intratumoral and peritumoral radiomics predict pathological response after neoadjuvant chemotherapy against advanced gastric cancer.Insights into imaging · 2024Article
- The largest lymph node defined response to neoadjuvant chemotherapy can predict long-term prognosis in locally advanced gastric cancer.Abdominal radiology (New York) · 2023Article
- Comparison of the predictive value of pathological response at primary tumor and lymph node status after neoadjuvant chemotherapy in locally advanced gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
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Corrections and comments
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Authors and funding
17 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeoadjuvant chemotherapy (NAC) plays an important role in the therapeutic strategy of locally advanced gastric cancer (LAGC). However, the response of LAGC after NAC varies among different patients. The objective response after NAC has proven to be an excellent indicator for benefiting from NAC, yet effective predictors of objective response are still lacking. The present study aimed to identify potential predictors of objective response in LAGC patients treated with NAC.
methodsClinicopathological data from 267 patients with LAGC who received NAC and met the inclusion criteria between July 2009 and December 2018 were retrospectively reviewed. Patients were randomly divided into the training and test sets at a 2:1 ratio. Univariate analysis was used to investigate whether any factors were correlated with objective response in the training set. Multivariate logistic regression analysis was applied to find independent predictors. A risk score model was then constructed based on the independent predictors, and its performance in predicting objective response was validated in the test set.
resultsUnivariate analysis found that gender, age, short axis diameter of the largest regional lymph node (LN
conclusionsWe found gender, LN
Indexed as
Identifiers
33841680PMC8014384W3155107550What 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.