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Record W2947623417 · doi:10.1186/s12887-019-1548-x

Down boy! A case of acute abdomen following a dog bite to the scrotum

2019· article· en· W2947623417 on OpenAlexaff
Edwin S. Palmer, Phitsavanh Saysamoneyeu, Jennifer Siu, Annkham Thammaseng, Indi Trehan

Bibliographic record

VenueBMC Pediatrics · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineLaparotomySurgeryScrotumAbdomenIleostomyPresentation (obstetrics)General surgeryHerniaGroinAcute abdomenPerforation

Abstract

fetched live from OpenAlex

BACKGROUND: Dog bite injuries are an ongoing concern in pediatrics. The majority of these occur in low- and middle-income countries where resources, especially subspecialty support services, are limited. Scrotal bites are relatively rare, and even fewer cases of abdominal viscus involvement have been described. No case has previously been reported of a dog bite to the scrotum leading to abdominal viscus perforation. CASE PRESENTATION: A 2-year old boy presented with an acute abdomen as the result of a dog bite to his scrotum in the presence of an unrepaired inguinal hernia. Without revisiting a detailed trauma history and exam, this would have been missed, as the dog bite occurred several days prior to presentation and was nearly completely healed. The patient initially had an emergent laparotomy, small bowel resection, and hernia repair. He then suffered from a delayed anastomotic leak requiring repeat laparotomy with creation of an ileostomy. Following a prolonged post-operative course, the patient was discharged home with his ileostomy in place. He returned 3 months later to have his ileostomy reversed and was discharged after an uncomplicated operation in good condition. CONCLUSIONS: This case demonstrates the primacy of an accurate history and physical, specifically with regards to recent trauma, in the presentation of a pediatric patient with an acute abdomen. Acquiring this may involve multiple re-interviews with the family as new facts may come to light. This is especially important in resource limited areas where advanced imaging and laboratory services are not available.

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)0.003
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0040.006
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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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