Abstract P3-08-48: Adiposity, comorbidities, and function in patients with early breast cancer
Notice bibliographique
Résumé
Abstract Introduction: Visceral adipose tissue (VAT) is correlated with lower overall survival and higher chemotherapy toxicity in women with breast cancer (Del Fabbro 2012, Feliciano 2019). In a sample of women scheduled for chemotherapy for early breast cancer (EBC) (stage I-III), we evaluate whether VAT or superficial adipose tissue (SAT) are associated with comorbidities, function, and clinically-used body metrics, Body Mass Index (BMI) and Body Surface Area (BSA).Methods: Women age 21 or older were enrolled in intervention studies (NCT02167932, NCT02328313) to encourage home-based walking during chemotherapy for EBC. Prior to chemotherapy initiation, patients had abdominal computerized tomography (CT) scans and completed Timed Up and Go (TUG) and Short Physical Performance Battery (SPPB) tests. Axial CT images were evaluated at the L3 level using Slice-O-Matic software (Tomovision Quebec, Canada). Superficial adipose tissue(SAT) was calculated from extra-muscular tissue with densities ranging from -190 to -30 Hounsfield Units (HU). Visceral adipose tissue (VAT) was calculated from non-subcutaneous tissue with densities from -150 to -50 HU, with values in cm2. BSA and BMI were calculated using standard formulas. Descriptive statistics(mean and standard deviation (SD)) were estimated and simple linear regression models were used to evaluate associations of comorbidities, function, and clinically-used body metrics and continuous adiposity measures. Pearson correlation coefficients were estimated to assess the relationship between adiposity measures.Results: In a sample of 99 women, mean age was56 (SD 13.1), BMI was 30 (SD 7), 47% were obese (≥30 kg/m2), and mean number of comorbidities was1.3 (SD 1.5).The mean VAT was 113.9 (SD 71.2), 50% had high VAT (>100 cm2), and the mean SAT was 294.2 (SD 71.2). For each additional comorbidity, mean VAT increased by 16.68, and SAT increased by 21.6. Both arthritis and high blood pressure were associated with higher VAT (+67.2 p<.0001 and +67.3 p<.0001, respectively) and higher SAT (+94.3 p=.002 and +104.3 p=.0008, respectively). Peripheral vascular disease and emphysema/chronic bronchitis were associated with higher VAT (+57.7 p=.01 and +100.8 p=.02, respectively), but not higher SAT. Higher VAT was seen for patients with TUG >14 seconds +57.87 (p=.004). For each additional point on the SPPB scale, the mean VAT decreased by 12.14(p=.002). For each additional comorbidity, BSA increased 0.035(p=.004) and BMI increased 1.31(p=.003). Strong positive correlations with VAT were seen for BSA (.697 p<.001), BMI (0.681 p<.001) and SAT (0.636 p<0001), as well as SAT with BSA (0.813 p<.0001) and BMI (.855 p<.0001). Conclusion: Comorbidities, function and commonly-used body metrics (BSA, BMI) are associated with adiposity metrics (VAT, SAT). All of these body composition metrics are associated with measures of function. Citation Format: Gabriel F. P. Aleixo, Allison M Deal, Shlomit S Shachar, Hyman B Muss, Kirsten A Nyrop, Ji Hye Park, Hyeon Yu, Grant R Williams. Adiposity, comorbidities, and function in patients with early breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-08-48.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».