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Record W2320184512 · doi:10.1503/cjs.030710

New minimally invasive technique for repairing femoral hernias: 3-D patch device through a femoris approach

2012· article· en· W2320184512 on OpenAlexvenueno aff
Wenzhang Lei, Jianpeng Huang, Ciren Luoshang

Bibliographic record

VenueCanadian Journal of Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProleneSurgeryFemoral herniaHerniaInguinal hernia

Abstract

fetched live from OpenAlex

BACKGROUND: Femoral hernias are less common than inguinal hernias. The use of preformed mesh to repair femoral hernias without tension has become increasingly common. We sought to investigate the safety and feasibility of repairing femoral hernias with a Prolene 3-dimentional (3-D) patch using a femoris approach. METHODS: We identified all consecutive patients with femoral hernias treated at our centre with a Prolene 3-D patch using a femoris approach in our institution over a 5-year period (2004-2009). We assessed duration of surgery, length of stay in hospital, recurrence, postoperative pain and complications. RESULTS: We repaired 73 hernias with this technique during the study period. The mean duration of surgery was 13.1 minutes, most patients were discharged in less than 24 hours, no recurrence was noted, and only minor complications occurred. CONCLUSION: This technique has not only the same advantage of other tension-free repairs, but also the advantages of convenience and shorter duration of surgery.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.086
GPT teacher head0.286
Teacher spread0.200 · 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 designNot applicable
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

Citations9
Published2012
Admission routes1
Has abstractyes

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