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Record W4399612564 · doi:10.1016/j.surg.2024.04.039

Double-row staple technology versus triple-row staple technology for colorectal surgery: A systematic review and meta-analysis

2024· review· en· W4399612564 on OpenAlexaff
Tyler McKechnie, Victoria Shi, Elena Huang, Bright Huo, Aristithes G. Doumouras, Nalin Amin, Cagla Eskicioglu, Dennis Hong

Bibliographic record

VenueSurgery · 2024
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineMeta-analysisSurgeryColorectal surgeryInternal medicine

Abstract

fetched live from OpenAlex

Background Some observational data have suggested that anastomotic leak may be reduced with triple-row staple technology compared to double-row staple technology. We aimed to investigate this further by performing a systematic review comparing double- and triple-row staple technology for colorectal anastomoses. Methods This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. MEDLINE, Embase, and Cochrane Central Register of Controlled Trials databases were searched up to November 2023. Articles were eligible for inclusion if they were comparing double-row staple and triple-row staple technology for left-sided colo-colic, colorectal, or coloanal anastomosis. The main outcomes included anastomotic leak, anastomotic hemorrhage, 30-day mortality, and reoperation. Meta-analyses with inverse variance random effects were performed. Certainty of evidence was assessed with Grading of Recommendations, Assessment, Development, and Evaluations. Results After reviewing 340 relevant citations, 6 retrospective cohort studies met inclusion. Overall, 19,372 patients (mean age: 60.2 years, 52.7% female sex) had anastomoses with double-row staple technology, and 2,298 patients (mean age: 61.3 years, 50.3% female sex) with triple-row staple technology. Most operations were anterior resections (double-row: 55.3%; triple-row: 43.6%). Across all included studies, the risk of anastomotic leak was reduced with triple-row staple technology (6.3% vs 7.5%, risk ratio 0.54, 95% confidence interval 0.31–0.94, P = .03, I 2 =75%). There were no significant differences in anastomotic hemorrhage (risk ratio 0.47, 95% confidence interval 0.15–1.49, P = .20, I 2 = 57%), 30-day mortality (risk ratio 0.66, 95% confidence interval 0.17–2.55, P = .55, I 2 = 0%), or reoperation (risk ratio 1.05, 95% confidence interval 0.42–2.64, P = .91, I 2 = 56%). Conclusion Triple-row staple technology may reduce the risk of anastomotic leak in left-sided colorectal anastomoses.

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)0.013
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.030
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0170.033
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.180
GPT teacher head0.407
Teacher spread0.227 · 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.

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

Citations4
Published2024
Admission routes1
Has abstractyes

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