Utilization of Multiple Myeloma Treatments in Developing Countries: Systematic Review and Meta-Analysis
Notice bibliographique
Résumé
Introduction: The outcomes of patients diagnosed with multiple myeloma (MM) have improved significantly with the advent of immunomodulatory drugs, proteasome inhibitors, anti-CD38 monoclonal antibodies, and high-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (HSCT). Further advancements include immune-based approaches such as bispecific antibodies and chimeric antigen T-cell receptor therapy. However, most of these therapies are predominantly available in developed countries, with limited access globally. Our study aimed to ascertain the landscape of interventions being used in developing countries for MM, and their efficacy. Methods: A comprehensive search was conducted on March 13, 2023, using Embase via Elsevier, PubMed, Scopus, CINAHL, and CENTRAL. We included retrospective and prospective studies that were evaluating interventions for patients with plasma cell dycrasias in the developing country setting. We defined developing country according to the United Nations. For comparative studies, we calculated the risk ratio (RR) for binary outcomes such as overall survival (OS) and progression-free survival (PFS), estimating 95% confidence intervals (CIs) and pooling data using the DerSimonian and Laird random effects model. For non-comparative studies, we calculated overall event rates and transformed them using the Freeman-Tukey double arcsine method, then pooled the data using the same random effects model. All statistical analyses were conducted using R version 4.4.0. Results: A total of 448 records were identified, of which 37 studies met the eligibility criteria. The overall risk of bias was moderate. The included studies evaluated induction treatments using doublet and triplet-based therapies, including TD (thalidomide and dexamethasone), VD (bortezomib and dexamethasone), MP (melphalan and prednisone), CTD (cyclophosphamide, thalidomide, and dexamethasone), VTD (bortezomib, thalidomide, and dexamethasone), and VAD (vincristine, doxorubicin, and dexamethasone). Lenalidomide was notably absent in the induction regimens apart from one non-comparative study reported on the use of RVD (lenalidomide, bortezomib, and dexamethasone). Studies were divided into comparative (n=11) and non-comparative groups (n=26). Comparative studies included: HSCT vs. no HSCT, induction with alkylating agents vs. thalidomide or bortezomib, and thalidomide vs. bortezomib or CTD vs. VTD. Lenalidomide use in comparative studies was reported only post-HSCT, compared against observation. High-dose chemotherapy followed by autologous HSCT was commonly utilized, with most studies reporting outcomes for patients who underwent autologous HSCT. Two comparative studies from 2 countries (Colombia and India) compared the overall survival of autologous HSCT in patients diagnosed with MM (N=130) vs. patients who never received ASCT (N=293). At one year of follow-up, there was no significant difference in overall survival (OS) between patients who received autologous HSCT and those who did not (relative risk [RR] = 1.11, 95% CI: 0.93-1.33). However, a significant improvement in OS was observed at five years post-autologous HSCT (RR = 1.59, 95% CI: 1.38-1.82). The pooled estimate for five-year OS in single-arm studies, which included nine cohorts from seven countries (Pakistan, India, Colombia, Algeria, Sri Lanka, Mexico, and Peru), was 62% (95% CI: 48-75). Progression-free survival (PFS) at five years post-HSCT, reported in three cohorts from three countries (India, Algeria, and Mexico), was 44% (95% CI: 23-67). Conclusions: Most of the recent advancements in MM treatment, including immunomodulatory drugs, proteasome inhibitors, and anti-CD38 monoclonal antibodies, were not widely utilized globally, particularly in developing countries. This limited access is a major issue, hindering the potential improvement in patient outcomes. However, high-dose chemotherapy followed by autologous HSCT showed good outcomes, demonstrating a significant survival advantage at five years follow-up. The lack of survival benefits at one-year post-HSCT may be due to high toxicity and/or limited resources to manage side effects in developing countries. Addressing the disparity in treatment availability is crucial for improving MM management and patient survival globally.
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 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,013 | 0,021 |
| Bibliométrie | 0,012 | 0,017 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».