ArticleAnnals of medicine2026
Data-driven prognostic factors analysis and personalized follow-up strategies for post-progression survival in locally advanced esophageal squamous cell carcinoma after definitive chemoradiotherapy.
Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The role of circulating MiR-34a-5p and MiR-let7a-5p as a diagnostic tumor markers in breast cancer a cross-sectional analysis.Molecular biology reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study investigates clinical characteristics influencing post-progression survival (PPS) in locally advanced esophageal squamous cell carcinoma (ESCC) after definitive chemoradiotherapy (dCRT), aiming to develop individualized follow-up strategies using conditional PPS.
methodsThe correlation between PPS and overall survival (OS) using Spearman correlation analysis. LASSO regression, Cox regression, and machine-learning methods were employed to identify prognostic factors, and a prediction model was constructed. The Shapley additive explanations (SHAP) method was used to interpret the model. Conditional PPS survival rates and recurrence risks were analyzed.
resultsThis study enrolled 741 patients, with a median follow-up of 27.2 months. PPS was positively correlated with OS. Prognostic factors included: N stage, tumor length, chemotherapy cycles, platelet-to-albumin ratio, lymphocyte-to-monocyte ratio, age, body mass index, radiotherapy dose, and neutrophil to monocyte to lymphocyte ratio. Calibration curves, decision curves, and ROC curves demonstrated the model's stability and predictive performance. Subgroup analyses suggested shorter PPS in high-risk patients. After adjusting for other confounders, multi-model analyses continued to show a positive association between the risk score and unfavorable PPS. Conditional PPS analyses across different risk groups revealed that, with increasing survival time, conditional PPS extended correspondingly, and the relapse risk gradually decreased. Finally, individualized follow-up strategies were proposed, indicating intensified monitoring for high-risk patients.
conclusionThis study fills the research gap in the influencing factors of PPS and personalized follow-up strategies for patients with locally advanced ESCC after dCRT, and provides important clinical evidence for promoting the transformation of post-recurrence management from 'experience-driven' to 'data-driven'.
Indexed as
Identifiers
What 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.