Endoscopic resection with adjuvant treatment versus esophagectomy for early-stage esophageal cancer
Bibliographic record
Abstract
OBJECTIVE: To evaluate the outcome following the strategy of endoscopic R0 resection (ER) plus adjuvant treatment (AT) versus esophagectomy for esophageal squamous cell cancer in T1a invading muscularis mucosa (M3)-T1b stage. METHODS: We evaluated the outcomes of 46 esophageal squamous cell cancer (ESCC) patients with T1aM3-T1b stage who underwent ER + AT from the Esophageal Cancer Endoscopic Therapy Consortium (ECETC) and compared these outcomes to 92 patients who underwent esophagectomy. Propensity score matching (1:2) was used, with overall survival (OS) and relapse-free survival (RFS) being compared between the two groups. RESULTS: During a median follow-up of 32 months, there were no statistical differences (P = 0.226) in OS between the two groups. The 1-, 2-, and 3-year overall survival in the esophagectomy group was 95%, 91%, and 84%, respectively. There were no mortalities within three years in the ER + AT group. The RFS between the two groups was also not significantly different (P = 0.938). The 1-, 2-, and 3-year RFS of patients in the esophagectomy group was 90%, 90%, and 83%, respectively, while it was 97%, 94%, and 74% in the ER + AT group, respectively. The local recurrence rates between the two groups were not significantly different (P = 0.277). CONCLUSIONS: This first multicenter analysis showed similar outcomes were found regarding OS and RFS between the two groups in T1aM3-T1b stage patients. ER + AT may be considered in high-risk patients or for those who refuse esophagectomy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".