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Record W2888386916 · doi:10.1097/prs.0000000000004868

Theoretic and Evidence-Based Laparotomy Closure with Sutures and Meshes

2018· article· en· W2888386916 on OpenAlexaff
Lauren M. Mioton, Gregory A. Dumanian

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineLaparotomyUltimate tensile strengthWound closureIncisional herniaClosure (psychology)SurgeryHerniaWound healingHernia repairSurgical meshAbdominal wallComposite material

Abstract

fetched live from OpenAlex

The ultimate tensile strength of newly apposed tissue is the sum of the strength of the physical construct holding the tissues and the strength of biologic healing. For successful incisional hernia repair, the total strength of the repair must remain greater than the forces applied. While much work has been done to understand the science of wound healing-the ability of an open defect to contract and close-far less has been done to understand the healing of 2 newly approximated previously nonwounded surfaces held together with sutures or other implants. In this article, the elements of ultimate tensile strength on laparotomy closure as well as their progression over time will be related to clinical studies of abdominal wall closure.

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)0.018
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.074
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.003
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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 designTheoretical or conceptual
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

Citations10
Published2018
Admission routes1
Has abstractyes

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