Clinical outcomes of endoscopic submucosal tunnel dissection compared with conventional endoscopic submucosal dissection for superficial esophageal cancer: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Endoscopic submucosal dissection (ESD) is the standard treatment for superficial esophageal cancer. However, it has limitations in case of large superficial esophageal squamous cell neoplasms (SESCNs), in which submucosal injection cannot attain satisfactory lifting effects. Thus, endoscopic submucosal tunnel dissection (ESTD) was introduced as a new treatment for SESCNs presenting satisfying results. Many studies have tried to verify the efficacy of ESTD, yet no meta-analysis has been published until now. METHODS: We searched the databases of PubMed, Cochrane Library, Web of Science, SinoMed, Wanfang, and CNKI dating up to February 1, 2019. Studies comparing the clinical outcomes of ESTD and ESD for superficial esophageal cancers were enrolled. The Newcastle-Ottawa Quality Assessment Scale was used to evaluate the quality of these studies. Eight articles were included that involved a total of 625 superficial esophageal cancer patients. RESULTS: resection rate, shorter operation time, and lower recurrence rate 1 year after operation. The R0 resection rate and postoperative adverse event rate of ESTD group is comparable with ESD group. CONCLUSIONS: Our study implicates that ESTD is a potentially superior treatment to ESD for superficial esophageal cancer.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".