Impact of EndoRings on colon adenoma detection rate: A meta‐analysis of randomized trials
Bibliographic record
Abstract
BACKGROUND AND AIM: Evidence of a superior efficacy of EndoRings over standard colonoscopy in improving colon adenoma detection rate is lacking. We aimed to compare EndoRings and standard colonoscopy through a pairwise meta-analysis of randomized trials. METHODS: We searched the PubMed/Medline and Embase database through July 2020 and identified five randomized controlled trials (recruiting 2751 patients). The primary outcome was adenoma detection rate; secondary outcomes included advanced and sessile serrated adenoma detection rate, mean adenoma per colonoscopy, cecal intubation rate, and time. We performed pairwise meta-analysis through a random-effects model and expressed data as risk ratio and 95% confidence interval. RESULTS: Overall, pooled adenoma detection rate was 53.9% (49-58.8%) with EndoRings and 49.1% (42-56.1%) with standard colonoscopy (risk ratio 1.05, 0.95-1.17). Advanced adenoma detection (risk ratio 0.91, 0.74-1.12), sessile serrated detection rate (risk ratio 1.10, 0.81-1.50), and polyp detection rate (risk ratio 1.06, 0.98-1.15) were similar between the two groups. Likewise, mean adenoma per colonoscopy (mean difference 0.17, -0.09 to 0.43), cecal intubation rate (risk ratio 1.00, 0.99-1.01), and cecal intubation time (mean difference 0.20 min, -0.34 to 0.74) did not differ between the two add-on devices. No serious adverse event was observed. CONCLUSION: EndoRings did not seem to significantly improve the diagnostic performance of colonoscopy. Further trials are needed to confirm these results.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.021 | 0.010 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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".