Prognostic Significance of Systemic Cholesterol Profile in Patients with Breast Cancer
Notice bibliographique
Résumé
Breast cancer ranks as the number one cancer among Indian females with survival as low as 66.1%. Relationship between cholesterol and breast cancer has triggered special interest due to their role in important cellular processes that steer toward carcinogenesis. The interplay between cholesterol and tumor development have been studied in experimental breast cancer models. However, epidemiological data reveal conflicting results, that need to be integrated and put into appropriate viewpoint. This study aims to investigate and corroborate the impact of total cholesterol (TC), triglyceride (TG), VLDL, LDL and HDL cholesterol on the disease-free and overall survival of patients with breast cancer. This study retrospectively analyzed 50 breast cancer patients who underwent radical surgery and attended follow-up visits at KIMS Hospitals. The blood lipid levels such as TC, TG, VLDL, LDL and HDL cholesterol were collected and analyzed from the database of Department of Laboratory Medicine. Potential prognostic factors including age, menopause, grade, receptor status, systemic cholesterol profile etc., were analyzed by univariate and multivariate analysis. TC less than 180mg/dL was associated with disease relapse in univariate analysis. TG, VLDL, LDL and HDL cholesterol were not significantly correlated either to disease-free or overall survival. Low systemic cholesterol level could be a significant prognostic factor for a shorter disease-free 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».