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Record W2039751752 · doi:10.3917/spub.023.0231

Pronostic du cancer du sein chez les femmes tunisiennes : analyse d'une série hospitalière de 729 patientes

2002· article· fr· W2039751752 on OpenAlexaff
Slim Ben Ahmed, S. Aloulou, M. Bibi, Amel Landolsi, M. Nouira, L. Ben Fatma, Lamia Kallel, Olfa Gharbi, Sadok Korbi, H. Khaïri, C. Kraïem

Bibliographic record

VenueSanté Publique · 2002
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsCargill (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Résumé Ce travail a pour objectif de préciser les aspects anatomo-cliniques et les paramètres pronostiques des cancers du sein dans la région du centre tunisien. Cette étude rétrospective porte sur 729 patientes atteintes de cancers mammaires prouvés à l’histologie et/ou à la cytologie, diagnostiqués et traités entre janvier 1990 et juin 1998 au CHU F Hached de Sousse (Tunisie). L’âge moyen était de 50 ans (extrêmes 22-91 ans). La taille clinique moyenne au diagnostic était de 49,1 mm ; 90 % étaient des carcinomes canalaires infiltrants avec un grade histopronostique SBR souvent élevé (grade II et III : 82,6 %). Le taux de survie globale de l’ensemble des patientes était de 50,5 % à 5 ans et de 50 % à 7 ans. En étude monofactorielle, les paramètres pronostiques étaient la taille tumorale, le statut ganglionnaire clinique, les métastases au diagnostic, le nombre de ganglions envahis, les ruptures capsulaires et les embols lymphatiques, le grade SBR et le délai de consultation. L’analyse multifactorielle (modèle de Cox) a isolé 2 paramètres pronostiques : la taille tumorale initiale (p = 0,001) et les métastases au diagnostic (p = 0,01). Le pronostic du cancer du sein demeure réservé en Tunisie du fait, notamment, du diagnostic tardif.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.247
Teacher spread0.234 · 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 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

Citations36
Published2002
Admission routes1
Has abstractyes

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