Long-term oncological outcomes following completely minimally invasive esophagectomy versus open esophagectomy
Bibliographic record
Abstract
Open esophagectomy (OE) for esophageal and gastroesophageal junctional cancers is associated with high morbidity. Completely minimally invasive esophagectomy (CMIE) techniques have evolved over the last two decades and significantly reduce surgical trauma compared to open surgery. Despite this, long-term oncological outcomes following CMIE compared to OE remain unclear. This systematic review and meta-analysis aimed to compare overall 5-year survival (OFS) and disease-free 5-year survival (DFFS) between CMIE and OE. It was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive electronic literature search from MEDLINE, EMBASE, Web of Science, Scopus and the Cochrane Central Register of Controlled Trials was conducted. The PROSPERO database was also searched for studies comparing OFS and DFFS between CMIE and OE. The Newcastle Ottawa Scale was used to assess study quality for included studies. Overall, seven studies (containing 949 patients: 527 OE and 422 CMIE) were identified from screening. On pooled meta-analysis, there was no significant difference in OFS or DFFS between CMIE and OE cohorts ([odds ratio 1.12; 95% CI: 0.85 to 1.48; P = 0.41] and [odds ratio 1.34; 95% CI: 0.81-2.22; P = 0.25] respectively). Sensitivity and subgroup analysis with high-quality studies, three highest sample sized studies, and three most recent studies also revealed no difference in long-term oncological outcomes between the two operative groups. This review demonstrates long-term oncological outcomes following CMIE appear equivalent to OE based on amalgamation of existing published literature. Limited high-level evidence comparing OFS and DFFS between CMIE and OE exists. Further research with a randomized controlled trial is required to clinically validate these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".