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Record W1923607763 · doi:10.14740/jmc.v6i6.2140

Isolated Hepatic Tuberculosis: Two Different Clinical Entities

2015· article· en· W1923607763 on OpenAlexvenueno aff
Orhan Kürşat Poyrazoğlu, Adile Ferda Dağlı

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and treatment of tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisDifferential diagnosisAbdominal painVomitingNauseaUrinalysisInternal medicineSurgeryGastroenterologyPathology

Abstract

fetched live from OpenAlex

The diagnosis of tuberculosis is elusive because of its insidious nature and distinct clinical presentations. Isolated hepatic tuberculosis is a rare clinical entity among patients with tuberculosis. A 45 years old man was presented with complaints of upper abdominal pain, nausea and vomiting. Proteinuria induced by amyloidosis secondary to isolated hepatic tuberculosis was detected in routine urinalysis. Hepatic tuberculosis diagnosis was established by positive tuberculosis polymerase chain reaction from the liver tissue. A 27 years old man admitted to our hospital with a 2 months history of upper abdominal pain. The patient diagnosis was portal hypertension due to isolated hepatic tuberculosis. Both patients were followed up for 18 months under anti-tuberculosis treatment. Tuberculosis must be suspected in patients with liver mass in imaging studies and should be considered in the differential diagnoses that live in endemic areas for tuberculosis. J Med Cases. 2015;6(6):235-237 doi: http://dx.doi.org/10.14740/jmc2140w

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0020.004
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.082
GPT teacher head0.394
Teacher spread0.312 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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