MétaCan
Menu
Back to cohort
Record W2439172894 · doi:10.20286/nova-jmbs-050104

Naso-Sinusal Tuberculosis: 3 Cases Report

2016· article· en· W2439172894 on OpenAlexvenueno aff
Ali Mardassi, Hela Dimassi, Safa Nefzaoui, Benzarti Sonia

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2016
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisDiseaseRare diseaseSurgeryDermatologyRadiologyPathology

Abstract

fetched live from OpenAlex

Introduction: Tuberculosis remains a real public health problem in Tunisia. Extra-pulmonary localizations account for 20 to 30% of tuberculosis disease, dominated by the node, osseous and urogenital localization.Case Report: The authors present three cases of nasosinusal tuberculosis, an unusual and rare localization of the disease, in a man and 2 women aged respectively of 30, 65 and 36 years. Results: The main symptoms were dominated by nasal obstruction, posterior throwing and dental pain. CT-scan showed a filling of the nasosinusal cavities with various stages of bony lysis. In all the cases, tuberculosis was confirmed histologically after an endoscopic middle meatotomy. Investigations looking for tuberculosis elsewhere were negative in all cases. Treatment was based on anti-tuberculosis drugs during 9 to 12 months. The evolution was favourable in all the cases.Conclusions: Nasosinusal tuberculosis is a rare chronic infection associating often variable levels of bony lysis. Histological exam remains the best way to confirm it. Therapy is based on anti-tuberculosis drugs. Medical investigations must usually search other localizations of the disease.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.358
Teacher spread0.280 · 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 teacher head, not a consensus.

Study designObservational
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueNova Journal of Medical and Biological SciencesSame topicInfectious Diseases and TuberculosisFrench-language works237,207