MétaCan
Menu
Back to cohort
Record W2886059311 · doi:10.1016/j.ijscr.2018.07.043

A case report of a double port site hernia and their laparoscopic repair with intra corporeal suturing of the hernia necks and an underlay mesh repair

2018· article· en· W2886059311 on OpenAlexaff
Jenny Marie Duke, Yagan Pillay

Bibliographic record

VenueInternational Journal of Surgery Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsAgriculture Food and Rural DevelopmentUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsMedicineLaparoscopic surgeryIncidence (geometry)General surgerySurgeryPort (circuit theory)Hernia repairHerniaLaparoscopy

Abstract

fetched live from OpenAlex

INTRODUCTION: Port site hernias (PSH) are a potential postoperative complication in laparoscopic surgery. It is difficult to estimate their true incidence given the descrepancy in published reports. PRESENTATION OF CASE: This is a case report of a 42-year-old lady who developed two separate PSH requiring a laparoscopic repair. This is also the first reported case of multiple PSH in a single patient in the English literature. DISCUSSION: This report highlights the need for further research in establishing well defined incidence rates in order to properly discuss future surgical risks when consenting a patient for laparoscopic surgery. It is our belief that future research should be directed towards determining the risk associated with different trocar types, in the setting of various premorbid patient factors, to help surgeons decide on relevant instrument use and the most appropriate closure for port sites. CONCLUSION: The growing incidence of PSH has brought about significant changes in the practice of laparoscopic surgery which behoves us as practicing clinicians to stay abreast of these changes so as to decrease the incidence of PSH.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.039
GPT teacher head0.304
Teacher spread0.265 · 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 designCase report
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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Surgery Case ReportsSame topicMinimally Invasive Surgical TechniquesFrench-language works237,207