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Record W4388089444 · doi:10.14740/gr1638

Safety and Efficacy of Powered Non-Thermal Endoscopic Resection Device for Removal of Colonic Polyps: A Systematic Review and Meta-Analysis

2023· review· en· W4388089444 on OpenAlexvenueno aff
Zohaib Ahmed, Daryl Ramai, Nooraldin Merza, Joyce Badal, Umair Iqbal, Syeda F. Arif, Alsadiq Al‐Hillan, Tony Varughese, Wade Lee‐Smith, Ali Nawras, Yaseen Alastal, Harshit S. Khara, Bradley Confer, David L. Diehl, Douglas G. Adler

Bibliographic record

VenueGastroenterology Research · 2023
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndoscopic mucosal resectionMeta-analysisCochrane LibrarySurgeryConfidence intervalAdverse effectMEDLINESystematic reviewResectionEndoscopyInternal medicine

Abstract

fetched live from OpenAlex

Background: Endoscopic mucosal resection is a frequently employed method for removing colonic polyps. Nonetheless, the recurrence of these polyps over a healed submucosal base can complicate the extraction of leftover lesions through standard procedures. EndoRotor ® , a non-thermal device specifically designed for endoscopic mucosal resection, has recently been assessed for its utility in removing colonic polyps, non-dysplastic Barrett’s esophagus, and pancreatic necrosis. We conducted a systematic review and meta-analysis to ascertain the safety and efficacy of EndoRotor ® in resecting scared or recurrence colonic polyps. Methods: We conducted an exhaustive review of existing literature using databases such as Medline, Embase, Web of Science, and the Cochrane Library until January 2023. Our aim was to find all studies that assessed the safety of non-thermal endoscopic resection devices in removing colonic polyps. The primary outcome we focused on was the rate of technical success. Secondary outcomes that we considered included the frequency of remaining lesions and instances of adverse events. To analyze these data, we used comprehensive meta-analysis software. Results: Our analysis incorporated three studies comprising 54 patients who underwent resection of 60 lesions. The combined technical success rate was 93.9% (95% confidence interval (CI): 77.7-98.6%, I 2 = 25.5%). In patients who had another endoscopic examination, 20 were found to have a residual lesion. After the initial session, the combined rate of remaining lesions was 39.8% (95% CI: 15.3-70.8%, I 2 = 74.5%). There were eight occurrences of intraoperative bleeding and four instances of bleeding post-procedure. The combined rate of intraoperative bleeding was 13.2% (95% CI: 6.7-24.3%, I 2 = 0%), and post-procedure bleeding stood at 8.5% (95% CI: 3.4-19.8%, I 2 = 0%). Only one major bleeding event was recorded, and no cases of perforation were reported. Conclusion: Our research indicates that the EndoRotor ® effectively removes scarred colonic polyps, though the rate of remaining lesions is significant, potentially necessitating several sessions for a thorough removal. There is a need for broader prospective studies, mainly randomized controlled trials, to further assess EndoRotor ® ’s efficiency and safety in eliminating colonic polyps. Gastroenterol Res. 2023;16(5):254-261 doi: https://doi.org/10.14740/gr1638

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.847
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.183
GPT teacher head0.455
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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

Citations2
Published2023
Admission routes1
Has abstractyes

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