Abstract P3-17-02: Influence of non-measurable disease on progression-free survival in patients with metastatic breast cancer
Notice bibliographique
Résumé
Abstract Background: Progression free-survival (PFS) is the dominant endpoint in phase 3 randomized controlled trials (RCTs) in women with metastatic breast cancer (MBC), and requires the ability to measure target lesions. It is unknown whether treatment effect on PFS is consistent among patients with measurable and non-measurable disease. Methods: We searched MEDLINE, EMBASE and COCHRANE for phase 3 RCTs in MBC that reported outcomes in subgroups with non-measurable (or bone only disease, if not reported explicitly) and measurable disease. Data were extracted and a single hazard ratio (HR) and 95% confidence intervals (CI) were computed to compare the individual trial treatment effect in non-measurable versus measurable disease. Data were then pooled in a meta-analysis. We repeated the analysis comparing bone only to non-bone only disease and performed subgroup analyses based on drug mechanism of action. Results: Of 82 RCTs that enrolled patients with non-measurable disease, 16 trials comprising 8516 patients were eligible for analysis. All included RCTs used PFS or time to progression as primary endpoints. There was no difference in pooled treatment effect between patients with non-measurable and measurable disease (HR 1.01, 95% CI 0.89-1.15, p=0.82). However, compared to non-bone only disease, a significantly greater effect on PFS was seen in those with bone only disease (HR 0.82, 95% CI 0.70-0.98, p=0.03). Subgroups analyses according to drug mechanism are shown in Table 1 Intra-study comparison, according to evaluated drug mechanismCohort/ Investigational drugNo. studies includedMeasurable HR (95% CI)Non measurable HR (95% CI)Intra- study comparison HR (95% CI)P – for intra-study comparisonAll160.69 (0.65-0.73)0.72 (0.64-0.80)1.01 (0.89-1.15)0.82Chemotherapy30.99 (0.87-1.13)0.67 (0.44-1.02)0.73 (0.44-1.21)0.22Endocrine treatment40.86 (0.77-0.96)0.94 (0.80-1.10)1.13 (0.92-1.40)0.23Signal transduction inhibitors40.52 (0.48-0.57)0.41 (0.33-0.50)0.74 (0.59-0.94)0.01Anti-angiogenetic agents50.66 (0.59-0.73)0.84 (0.67-1.04)1.34 (1.05-1.71)0.02CI- confidence interval, HR- hazard ratio . Compared to patients with measurable disease, there was a greater effect on PFS in those with non-measurable disease in RCTs of signal transduction inhibitors and endocrine therapy (HR 0.74, 95% CI 0.59-0.94, p=0.01). There was a lesser effect on PFS in patients with non-measurable disease in RCTs of antiangiogenic drugs (HR 1.34, 95% CI 1.05-1.71, p=0.02). Comparable effect on PFS was shown in RCTs evaluating endocrine therapy and chemotherapy. Conclusions: There is variability in treatment effect on PFS in patients with measurable and non-measurable disease. There is greater effect on PFS in RCTs of endocrine therapy and signal transduction inhibitors and in patients with bone only disease. Standardization of PFS determination in patients with non-measurable and bone only disease is warranted. Citation Format: Goldvaser H, Ribnikar D, Fazelzad R, Seruga B, Templeton AJ, Ocana A, Amir E. Influence of non-measurable disease on progression-free survival in patients with metastatic breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-17-02.
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 | 0,013 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,008 | 0,020 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».