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Record W3105319062 · doi:10.1503/cjs.021819

Prospective study of single-stage repair of contaminated hernias with the novel use of calcium sulphate antibiotic beads in conjunction with biologic porcine submucosa tissue graft

2020· article· en· W3105319062 on OpenAlexaffvenue
Ashley Drohan, Sam Minor

Bibliographic record

VenueCanadian Journal of Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineSurgeryAntibioticsHerniaHernia repairSurgical site infectionMicrobiology

Abstract

fetched live from OpenAlex

SUMMARY: In single-stage hernia repair in the setting of contaminated fields there is a high rate of infection following mesh repair. New strategies to decrease infection in this challenging patient population are needed. Stimulan calcium sulfate antibiotic beads (CSAB) are a biodegradable material that deliver high concentrations of antibiotics locally to a site of insertion. Their use in the prevention of infection has not been described in hernia graft implantation. Here we describe our use of CSAB in a series of 11 patients with modified Ventral Hernia Working Group class III and Centers for Disease Control and Prevention class II-IV wounds undergoing single-stage incisional ventral hernia repair. We found that implantation of CSAB in single-stage hernia repair in the setting of contaminated fields was feasible with low systemic antibiotic levels. Further research should be undertaken to investigate the efficacy of this novel tool in hernia repair.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.094
GPT teacher head0.256
Teacher spread0.161 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2020
Admission routes2
Has abstractyes

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