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Record W4367309623 · doi:10.1016/j.sopen.2023.04.009

Spigelian hernias: A high volume institutional review

2023· article· en· W4367309623 on OpenAlex
Péter Szász, Marguerite Mainprize, Fernando Antônio Campelo Spencer Netto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurgery Open Science · 2023
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsQueen's University
Fundersnot available
KeywordsSpigelian herniaMedicineHerniaContext (archaeology)General surgeryIncidence (geometry)Ventral herniaSurgery

Abstract

fetched live from OpenAlex

Purpose: The objective of this study was to evaluate a high-volume hernia center's experience with primary Spigelian hernias. Introduction: Spigelian hernias are rare entities presenting a diagnostic dilemma for clinicians that often lead to a delay in treatment or need for emergency surgery. Given this low incidence true patient and hernia characteristics are unknown. Methods: This was a retrospective chart review evaluating patients who underwent a Spigelian hernia repair between 2005 and 2019. Descriptive statistics were utilized. Results: The incidence of Spigelian hernias at our institution was 0.14 %. There were 141 patients with 143 spigelian hernias (two patients had bilateral hernias) repaired at our institution during the study period, the majority of these were in male patients, left sided and repaired under conscious sedation with or without the use of mesh. Conclusion: This study adds a large dataset to the paucity of literature that exists in the context of Spigelian hernias and alerts the clinician that these hernias are not exclusive to the older female population. Furthermore, this study provides the need for a high index of suspicion in patients presenting with vague abdominal pain who may not fit the typical Spigelian hernia mold.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.064
GPT teacher head0.356
Teacher spread0.292 · 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