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Record W2006139707 · doi:10.1136/bcr-2012-006408

Liver abscess caused by toothpick and treated by laparoscopic left hepatic resection: case report and literature review

2012· article· en· W2006139707 on OpenAlexaff
Bassam Abu‐Wasel, Karim M. Eltawil, Valerie Keough, Michele Molinari

Bibliographic record

VenueBMJ Case Reports · 2012
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineLiver abscessResectionAbscessHepatic abscessSurgeryGeneral surgery

Abstract

fetched live from OpenAlex

Hepatic abscesses caused by ingested foreign bodies have been reported in the medical literature but represent very uncommon events. Extra-luminal migration of sawing needles and pins is the most common cause of perforation of the gastrointestinal tract associated with liver infections. Other non-metallic sharp objects such as animal bones and toothpicks have been described but are less frequent. The authors present a case of a 45-year-old woman who suffered from sepsis and a liver abscess because of the migration of a toothpick that lodged in the left hepatic lobe. Review of the literature on the pathogenesis and clinical management of liver abscesses caused by ingested foreign is presented.

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)0.001
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.324
Teacher spread0.302 · 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

Citations25
Published2012
Admission routes1
Has abstractyes

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