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Record W3207681321 · doi:10.14740/jcs444

Laparoscopic Treatment of Liver Abscess by a Fishbone Impaction: A Case Report

2021· article· en· W3207681321 on OpenAlexvenueno aff
Hanzhang Dong, Xi Liu, Mingjian Luo, Shaobiao Ke, Jiulin Zhan, Zhiwei Li

Bibliographic record

VenueJournal of Current Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicAmoebic Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurgeryLiver abscessImpactionAbscessAbdomenComputed tomographySepsisRadiologyGeneral surgery

Abstract

fetched live from OpenAlex

Bacterial liver abscesses caused by ingested bodies are very uncommon. In the current report, a unique case of a 50-year-old man associated with diabetes mellitus who suffered from sepsis and a liver abscess because of the migration of a fishbone that lodged in the left hepatic lobe is presented. The diagnosis was confirmed by enhanced computed tomography examination of the upper abdomen. The patient subsequently underwent laparoscopic surgery, and was discharged on postoperative day 12 without any complications. The present study discusses the clinical features and treatment of this case. J Curr Surg. 2021;11(3):65-68 doi: https://doi.org/10.14740/jcs444

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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.059
GPT teacher head0.355
Teacher spread0.296 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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