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Enregistrement W4417014291 · doi:10.1182/blood-2025-3903

Real-world (RW) use of fixed-duration (FD) ibrutinib+venetoclax (Ibr+Ven) in patients (pts) with previously untreated chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL): Pooled analysis of REALITY-worldwide (WW) and REALITY-2 prospective cohort studies

2025· article· en· W4417014291 sur OpenAlexaboutno aff
Catherine Thiéblemont, Emmanuelle Tchernonog, Talha Munir, Oliver Miles, Ingo Schwaner, Ugo Consoli, Vanessa Innao, Anna Mele, Danielle De Farias, Adriana Scheliga, Neil E. Kay, Ahmed Absi, Galia Stemer, Tamar Tadmor, Mark A. Hoffman, Brian Koffman, Boo Messahel, Sowmya Srikanthan, Erin Franceschini, Ping Xu, Christoph Tapprich, Claire Kavanagh, Mohamed Fouad, Lori Parisi, Mark Wildgust, Paolo Ghia

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTolerabilityClinical trialClinical endpointProspective cohort studyAdverse effectCohort studyCohortDiscontinuation

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction FD Ibr+Ven is approved as first-line (1L) treatment (tx) for CLL/SLL in 78 countries across Asia, Europe, the Middle East, and South America, plus Australia, Canada, and New Zealand. Clinical trials with up to 5.5 years (yrs) of follow-up have demonstrated progression-free and overall survival benefits of 1L FD Ibr+Ven in pts with CLL/SLL (Wierda WG, ASH 2024; Jacobs R, EHA 2024). Despite established clinical benefits, there is a lack of RW evidence on the effectiveness and tolerability of FD Ibr+Ven outside of clinical trial settings. Here we present pooled data from REALITY-WW and REALITY-2 to understand the usage, factors for therapy decision, clinical response, and safety of FD Ibr+Ven in routine clinical practice. Methods REALITY-WW and REALITY-2 are prospective observational cohort studies. REALITY-WW is an international study; REALITY-2 is conducted in Germany. Both included previously untreated pts with CLL/SLL from hospitals and medical institutions where Ibr+Ven was routinely used. The decision to start FD Ibr+Ven was made prior to and independent of pt enrollment. Pts aged ≥18 yrs with a confirmed diagnosis of CLL/SLL requiring 1L tx per iwCLL 2018 criteria received 3 cycles of Ibr, followed by 12 cycles of FD Ibr+Ven orally (Ibr, 420 mg/d; Ven, 5-week ramp-up to 400 mg/d). Primary end point was overall response rate (ORR) per iwCLL 2018 criteria. Secondary end points and outcomes of interest included tx-emergent adverse events (TEAEs), tumor lysis syndrome (TLS) risk, and factors associated with physician decision to initiate FD Ibr+Ven in routine clinical practice. Results At data cutoff (REALITY-WW: May 2025; REALITY-2: March 2025), 129 pts from both studies received FD Ibr+Ven (REALITY-WW, 81; REALITY-2, 48). The median (range) time on study was 6.4 (0.1-19.0) months (mo). Median (range) age was 65.0 (37.0-87.0) yrs, with 46.5% of pts aged <65 yrs and 53.5% of pts aged ≥65 yrs; 62.8% were male. Median (range) time from diagnosis to FD Ibr+Ven initiation was 38.1 mo (0.1-238.0) and median (range) duration of tx was 6.0 mo (0.1-15.9) for Ibr and 3.2 mo (0.1-8.4) for Ven. A Cumulative Illness Rating Scale score of >6 was observed in 12.6% of pts, with a higher score in pts aged ≥65 vs <65 yrs (18.0% vs 6.9%). TP53 mutations were seen in 7.4% of pts; 52.8% had an unmutated IGHV status. ORR was assessed in the 44 pts with ≥ 1 post-baseline assessment in REALITY-WW. Of these, 39 showed a response by the end of 6 tx cycles (3 cycles of Ibr + 3 cycles of FD Ibr+Ven) and 5 had stable disease. ORR at 6 mo per iwCLL 2018 criteria (partial response [PR] with lymphocytosis [PR-L] or better) was 88.6% (95% CI, 79.3-98.0), including complete responses in 29.5%, PR in 34.1%, and PR-L in 25.0% pts. Among 129 treated pts, TEAEs were reported in 61.2%; diarrhea was the most common TEAE (14.0%). Serious TEAEs and grade 3/4 TEAEs were reported in 12.4% and 8.5% of pts, respectively. The most common grade 3/4 TEAE was myocardial infarction (1.6%). Dose reduction was observed in 13.2% (Ibr) and 2.3% (Ven) of pts, mainly due to tx-associated TEAE/toxicity/TLS. Rates of TEAEs leading to discontinuation, dose reduction, and interruption of ≥1 study tx were 4.7%, 10.9%, and 20.9%, respectively. At baseline (n=129), 18.6%, 45.0%, and 14.7% of pts had high, intermediate, and low TLS risk, respectively, while 20.2% were not assessed and 1.6% had missing data. After the 3-cycle Ibr lead-in, the distribution shifted to 9.3%, 24.8%, and 24.0%, respectively, with 14.7% not assessed and 27.1% missing. There were no TEAEs of TLS and no hospitalizations due to TLS. Seven pts (6 aged ≥65 yrs and 1 <65 yrs) were hospitalized prophylactically for TLS. Prophylactic hospitalization was observed in 8.5% (11/129) of pts with high or medium TLS risk and impaired renal function for whom the Ven ramp-up was initiated; no pts were hospitalized due to laboratory/clinical TLS during the Ven ramp-up period. Physician questionnaire responses (n=126) indicated the most common factors associated with decision to initiate FD Ibr+Ven were administration route advantage (91.3%), overall health status (87.3%), anticipated superior efficacy of tx (84.1%), and general risk factors such as high tumor burden/genetic risk factors (81.0%). Conclusions Overall findings suggest that FD Ibr+Ven is an effective and safe tx for pts with CLL/SLL in a RW population, including those aged ≥65 yrs. Data with longer follow-up will be presented at the meeting.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,006
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,303
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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