MétaCan
Menu
Back to cohort

S1144 Comparison of Endoscopic Mucosal Resection versus Endoscopic Submucosal Dissection for Treatment of Rectal Neuroendocrine Tumors: A Systematic Review and Meta-Analysis

2022· review· en· W4316085685 on OpenAlexaboutno aff
Connor Eggleston, Pierce L. Claassen, Rajani Rangray

Bibliographic record

VenueThe American Journal of Gastroenterology · 2022
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndoscopic submucosal dissectionEndoscopic mucosal resectionMeta-analysisNeuroendocrine tumorsResectionEndoscopyDissection (medical)SurgeryInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Rectal neuroendocrine tumors (NETs) represent a small portion of gastrointestinal malignancies. Endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) are two treatment options of interest to therapeutic gastroenterologists. Recently the usage of EMR and ESD has increased, yet studies comparing the techniques across diverse patient populations are lacking. The aim of this systematic review and meta-analysis is to analyze the findings of all studies which compare these two treatment modalities for the management of rectal NETs. Methods: Studies were identified by searching PubMed, Google Scholar, and reviewing citations within previously published meta-analyses. Only articles in English were included and 26 studies were selected for final analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate individual study quality. When comparing EMR to ESD, mean differences were estimated for procedure time, whereas risk ratios were calculated for histologic resection, perforation, and delayed bleeding rates (a continuity correction of 0.2 was used when any group had no adverse events). Pooled effects were estimated using random-effects meta-analysis, while between-study heterogeneity was calculated using the Paule-Mandel estimator with Hartung-Knapp adjusted standard errors. Funnel plots were used to assess publication bias. Results: Of the 26 studies, 24 were retrospective, 1 was prospective, and 1 was mixed prospective/retrospective. A total of 1,880 lesions were included from 1,863 patients. Most studies were single-center retrospective analyses and scored low on the NOS scale indicating poor methodological quality. Mean procedure time was 12.14 minutes shorter for EMR than ESD [9.99-14.30, 95% confidence interval]. Relative risk of perforation and bleeding was 1.60 [1.07-2.38] and 1.67 [1.14-2.43] times more likely, respectively when using ESD. Attaining complete histologic resection was 1.10 [1.02-1.19] times more likely with ESD. (Figure) Conclusion: EMR and ESD are increasingly prevalent treatment options for superficial rectal neoplasms. Data indicates that EMR variations were superior to ESD for decreasing procedure time and minimizing perforation and bleeding rates. However, complete histologic resection was more likely with ESD. Given the poor methodologic quality of current studies, additional randomized, prospective, multicenter trials should be performed to better understand the efficacy and safety outcomes of ESD and EMR techniques for treatment of rectal NETs.Figure 1.: Perforation events associated with each treatment modality within individual cohort studies. When cross-comparing all studies, the overall relative risk of perforation was 1.60 [1.07-2.38, 95% confidence interval] times greater when performing endoscopic submucosal dissection (ESD) compared to endoscopic mucosal resection (EMR) for treatment of rectal neuroendocrine tumors (NETs).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.029
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.037
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.108
GPT teacher head0.398
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of GastroenterologySame topicGastric Cancer Management and OutcomesFrench-language works237,207