Thromboprophylaxis in Multiple Myeloma Patients Treated with Lenalidomide - a Systematic Review
Notice bibliographique
Résumé
Abstract Background Lenalidomide in combination to steroid therapy, including high-dose dexamethasone (RD), low-dose dexamethasone (Rd) or triple therapy of melphalan, prednisolone, lenalidomide (MPR), has shown to be an effective and well-tolerated treatment for patients with newly diagnosed multiple myeloma (NDMM) and relapsed refractory multiple myeloma (RRMM). Lenalidomide is associated with an increased risk of venous thromboembolism, and studies have consistently demonstrated the need for venous thromboembolism (VTE) prophylaxis in patients receiving these combinations. However, the optimal approach to thromboprophylaxis has not yet been established. Objective In this systematic review we sought to compare the efficacy of aspirin (ASA) or low molecular weight heparin (LMWH) in the prevention of VTE in patients with myeloma using lenalidomide- based therapy. Methods A systematic literature search strategy was used to identify potential studies on MEDLINE, EMBASE, and CENTRAL using an OVID interface. The methodological quality of the selected cohort studies was assessed according to Newcastle-Ottawa Quality Assessment Scale, and risk of bias of randomised controlled trials (RCTs) was assessed according to risk of bias assessment tool from the Cochrane Handbook. The primary outcome measure was the incidence rate of VTE while using ASA or LMWH. Results Out of 247 studies, 6 met our inclusion criteria with a total of 1126 participants including a total of 5 phase III RCTs, and one retrospective study. Overall, all studies show high quality: In 4 of the 5 RCTs type of randomization was clearly reported, outcome assessment was blinded, and withdrawal rates were reported, and the remaining RCT was an abstract. In 4 RCTs the intervention and comparator arms were related to anti-myeloma treatment regimens. Pooled data of studies of NDMM treated with lenalidomide based regimen with ASA prophylaxis show a VTE rate of 98 of 915 (10.7%) [95% CI: 8.86-12.88] (Table1). In NDMM and RRMM patients treated with lenalidomide, VTE rate on LMWH prophylaxis was 3 of 211 (1.4%) [95% CI: 0.48-4.09] (Table2). The relative risk (RR) of VTE in patients receiving ASA compared to LMWH was 7.5 (95% CI: 2.41-23.53, p =0.0005). Overall, the rate of VTE was 1.4 (95% CI: 1.14 - 1.69) per 100 patient-cycles of anti-myeloma treatment. A subgroup analysis on patient using ASA showed a similar risk of 1.5 (95% CI: 1.24 - 1.84).The incidence of VTE in those using ASA while on RD was 52 of 195 (26.6%) [95% CI: 20.9-33.2], while VTE rate in those receiving Rd was 27 of 262 (10.3%) [95% CI: 7.18-14.58] demonstrating a statistically significant higher risk for patients on RD [RR=2.5 (95% CI: 1.68- 3.96), p <0.0001]. Furthermore, VTE rate with MPR therapy while on ASA was 19 of 458 (4.1%) [95% CI: 2.67-6.38]. Pooled data of studies revealed that patients who received lenalidomide and dexamethasone alone (RD+Rd) had a significantly higher risk of VTE compared to those on MPR while on ASA (RR=6.4 [(95% CI: 4.11- 9.91), p< 0.0001]). Conclusion The study showed that the most frequent thromboprophylaxis of choice for patients with myeloma on lenalidomide-based therapy is ASA. However, ASA may not confer appropriate protection against VTE, especially in patients using high dose dexamethasone. On the other hand, the risk of VTE in patients receiving MPR and ASA was low and ASA may be a safe option for these patients. More studies comparing the safety of ASA to other anticoagulants such as LMWH or direct oral anticoagulants are warranted. Table 1. Rate of VTE using ASA in NDMM with different lenalidomide based regimens. Rx: treatment; 95% CI: 95% confidence interval. Study Design Rx N VTE rate: N (%) 95% CI Zonder, 2010 Rajkumar, 2010 Phase III RCT RD 195 52 (26.6) 20.9-33.2 Larocca, 2011 Rajkumar, 2010 Phase III RCT Rd 262 27 (10.3) 7.18-14.58 Palumbo, 2012 Stewart, 2014 Phase III RCT MPR 458 19 (4.1) 2.67-6.38 Total 915 98 (10.7) 8.86-12.88 Table 2. Rate of VTE using LMWH in myeloma patients (NDMM or RRMM) on lenalidomide-based regimen. 95% CI: 95% confidence interval. Paper Design Induction Setting N VTE rate: N (%) 95% CI Klein, 2008 Retrospective cohort RD RRMM 45 1(2.2) 0.39-11.57 Larocca, 2011 Phase III RCT Rd NDMM 166 2(1.2) 0.33-4.28 Total 211 3(1.4) 0.48-4.09 Disclosures Louzada: pfizer: Consultancy, Other: advisory board and expert opinion; janssen: Consultancy, Other: advisory board and expert opinion; Celegene: Consultancy, Other: advisory board and expert opinion.
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 | 0,005 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,008 | 0,007 |
| Bibliométrie | 0,008 | 0,007 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 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 ».