Targeted therapy for advanced renal cell cancer (RCC): a Cochrane systematic review of published randomised trials
Notice bibliographique
Résumé
OBJECTIVE: To estimate the effects of drugs with molecular targets on patients with advanced renal cell cancer (RCC). PATIENTS AND METHODS: MEDLINE, EMBASE, and the Cochrane Collaboration Library were systematically searched on-line through to June 2011 to identify eligible randomised trials. We also searched abstract reports from major oncology and urology meetings. We included randomised trials that tested a targeted agent and reported at least one outcome by allocation on an intent-to-treat basis. Completeness of ascertainment and risk of bias were assessed. Our primary outcome was progression-free survival (PFS). RESULTS: In all, 28 studies met our inclusion criteria and 10 were placebo-controlled. Two studies were too small to assess, and five early studies used nonspecific anti-angiogenic agents with poor activity. In all, 15 studies, in 5587 patients, tested anti-vascular epithelial growth factor (VEGF) agents: bevacizumab (BEV), sorafenib, sunitinib, pazopanib, tivozanib, or axitinib. Three studies, in 1147 patients, tested the mammalian target of rapamycin (mTOR) inhibitors, temsirolimus or everolimus. Two studies included epidermal growth factor receptor (EGFR) inhibitors, and one tested the combination of temsirolimus plus BEV. In treatment-naive patients with mostly good-moderate prognostic risk, in separate trials oral sunitinib (one trial) and intravenous BEV plus subcutaneousinterferon-α (two trials) improved PFS compared with the previous standard of care interferon-α within randomised phase III trials. Sorafenib did not improve PFS over interferon-α in the first-line setting and the addition of cytokines did not improve sorafenib efficacy. In poor-risk patients, the mTOR inhibitor temsirolimus improved PFS and overall survival (OS). The studies of other VEGF inhibitors have used placebo controls no longer appropriate in this setting, although pazopanib is an approved option. Several trials examined agents in the second-line setting. After cytokine therapy, sorafenib (one study) and pazopanib (one study) prolonged PFS over placebo. A preliminary report of the investigational VEGF receptorinhibitor axitinib gave superior PFS to sorafenib after either prior cytokine or prior sunitinib treatment. After cancer progression ≤6 months of sunitinib and/or sorafenib therapy, everolimusprolonged PFS. OS was marginally improved in several studies. A more substantial effect on OS may have been diluted by crossover from control therapy to the investigational arm and/or by other anti-angiogenic agents after trial closure. Patient-reported outcomes were considered unreliable in trials without 'blinding'. A clear cell RCC (ccRCC) component was required for most trials, and information for non-ccRCCs is consequently limited CONCLUSIONS: Agents targeting VEGF and mTOR pathways improve PFS in both first-line and second-line settings. These treatments rarely yield complete responses and thus are not curative. No placebo-controlled trial has reported a health-related quality of life benefit.
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 | 0,023 | 0,077 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,021 | 0,013 |
| Bibliométrie | 0,013 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 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 ».