Systematic literature review of real-world evidence on overall survival in cancer patients before and after the approval of anti-PD-(L)1 therapy
Notice bibliographique
Résumé
Background: The development and regulatory approval of anti-programmed death (ligand) 1 (anti-PD-(L)1) agents, based on positive clinical trial results, has dramatically changed clinical practice and treatment paths in oncology. However, the effectiveness of anti-PD-(L)1 therapy in real-world settings is not well understood. Therefore, it is important to summarize real-world evidence on the overall survival (OS) of patients with specific tumor types prior to and following the regulatory approval of anti-PD-(L)1 therapy. Methods: A systematic literature review including observational studies worldwide reporting the OS of patients receiving conventional first-line pharmacological therapy for advanced/metastatic non-small cell lung cancer (NSCLC), renal cell carcinoma (RCC), or melanoma in the anti-PD-(L)1 pre-approval era and similar patients receiving first-line anti-PD-(L)1 therapy in the post-approval era was conducted. For each tumor type, studies were selected from a pre-approval era, defined as a period beginning 5 years before the first approval of an anti-PD-(L)1 agent and ending the year before its approval for first-line therapy, and a post-approval era, defined as a period beginning the year that an anti-PD-(L)1 agent was approved for first-line therapy and ending in 2023. Relevant studies were identified through MEDLINE and Embase searches. Study selection, data extraction, and quality assessment were conducted by two independent reviewers. Median OS (mOS) was summarized within each tumor type and descriptively compared across the pre- and post-approval eras. Results: A total of 86, 44, and 35 studies evaluating first-line treatments for advanced/metastatic NSCLC, RCC, and melanoma, respectively, were included. Post-approval mOS in patients treated with anti-PD-(L)1 therapy tended to be numerically longer than pre-approval mOS in patients treated with conventional therapy within certain patient and treatment categories. For example, pre-approval mOS ranged from 6.9 to 18.4 months (n=18 treatment groups), and post-approval mOS ranged from 10.6 to 46.2 months in NSCLC patients with PD-L1 tumor expression ≥50% who received anti-PD-(L)1 monotherapy (n=33; with mOS not reached for n=3). In RCC patients classified as high-risk, pre-approval mOS ranged from 2 to 10.3 months (n=7), and post-approval mOS ranged from 7.8 to 24.3 months (n=4). Also, in melanoma patients with any BRAF mutation, pre-approval mOS was 14.2 months (n=1), and post-approval mOS ranged from 15.9 to 51.2 months (n=6; with mOS not reached for n=3). Conclusion: A survival benefit in real-world practice was observed for patients with advanced/metastatic NSCLC, RCC, or melanoma receiving first-line anti-PD-(L)1 therapy after its regulatory approval when compared with patients treated with conventional care before anti-PD-(L)1 therapy approval. This supports the use of anti-PD-(L)1 therapy as a standard of care in many countries.
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 | 0,009 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,009 | 0,010 |
| Bibliométrie | 0,015 | 0,017 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».