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Record W4414371187 · doi:10.1097/js9.0000000000003491

Long-term outcomes of additional surgical versus nonsurgical treatment after non-curative endoscopic resection for T1 superficial esophageal cancer

2025· article· en· W4414371187 on OpenAlexaboutno aff
Yuxiang Chen, Zhi Tang, Li Yang, Jinlin Yang

Bibliographic record

VenueInternational Journal of Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEsophageal cancerResectionEndoscopyEsophagusEsophageal disease

Abstract

fetched live from OpenAlex

BACKGROUND: Endoscopic resection (ER) is the main treatment for T1 superficial esophageal cancer (SEC). Additional surgical resection (ASR) is recommended to improve the prognosis of patients with non-curative resection who are at high risk of recurrence and metastasis. However, the survival benefit of ASR compared to non-ASR remains unclear. We conducted a systematic review and meta-analysis to quantify the survival benefits of ASR versus non-ASR, providing robust data for clinical decision-making. METHOD: We searched PubMed, Cochrane, Embase, and Web of Science databases for studies published before 24 February 2025. The primary outcome was overall survival (OS), recurrence-free survival (RFS), and disease-specific survival (DSS). Two independent reviewers screened and extracted the data and resolved disagreements by consensus. Risk of bias was assessed with Newcastle-Ottawa Scale. RESULTS: The review identified 15 retrospective studies involving 1348 patients. Analysis showed that patients with ASR had significant survival advantages over non-ASR patients in OS, RFS, and DSS. Hazard ratios (HRs) with 95% confidence intervals (CIs) were as follows: OS (HR = 3.06; 95% CI: 2.11-4.43), RFS (HR = 1.68; 95% CI: 1.16-2.41), and DSS (HR = 4.11; 95% CI: 1.64-10.28). Survival curves indicated that at 3, 5, and 10 years, the OS rates were 95.9% versus 88.0%, 91.4% versus 78.2%, and 86.7% versus 56.9% for the ASR and non-ASR groups, respectively. Similarly, the RFS rates were 93.4% versus 82.9%, 83.6% versus 73.8%, and 74.5% versus 57.5%. For DSS, the rates were 98.4% versus 94.5%, 97.8% versus 91.1%, and 97.8% versus 87.9%. Log-rank tests confirmed significance for all comparisons except 10-year DSS. CONCLUSIONS: For patients with T1 SEC who had non-curative ER, ASR therapy provides advantages over non-ASR therapy. However, within 5 years, the DSS difference between the ASR and non-ASR groups is likely to be minimal, with a range of approximately 4-6%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.411
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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