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Record W3208676784 · doi:10.1093/jscr/rjab488

Diverticulitis of the appendix—case report and literature review

2021· article· en· W3208676784 on OpenAlexaff
Kristopher Bujold-Pitre, Olivier Mailloux

Bibliographic record

VenueJournal of Surgical Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesCentre Intégré de Santé et de Services Sociaux des LaurentidesUniversité Laval
Fundersnot available
KeywordsMedicineAppendixDiverticulitisPerforationAppendicitisDiverticular diseaseDiverticulosisDiverticulum (mollusc)RadiologyAbscessAbdominal painGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Appendiceal diverticulitis is a rare diagnostic most often mistaken for an acute appendicitis. A 72-year-old man presented with a transfixing abdominal pain for 48 hours. Appendicitis was diagnosed on computed tomography scan, but a neoplasm could not be excluded. A laparoscopic hemicolectomy was performed after a surgical consensus considering the neoplastic appearance of the lesion and anatomical feature. Histopathology finally revealed an appendiceal diverticulitis. Appendiceal diverticulum is a rare condition. Most will lead to an appendiceal diverticulitis, which present similarly to an appendicitis. Perforation rate and mortality rate are much higher in appendiceal diverticulitis than in appendicitis. Furthermore, appendiceal diverticular disease is strongly associated with neoplasms, especially mucinous neoplasms and thus pseudomyxoma peritonei. Considering the high complication rate and malignant association, an appendicectomy in case of an appendiceal diverticulitis or of an incidental finding of appendiceal diverticulosis should be recommended to the patient.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.010
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.007
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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 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

Citations11
Published2021
Admission routes1
Has abstractyes

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Same venueJournal of Surgical Case ReportsSame topicIntraperitoneal and Appendiceal MalignanciesFrench-language works237,207