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Enregistrement W4389235188 · doi:10.1182/blood-2023-179924

Assessment of Minimal Clinically Important Difference in Patient-Reported Myelofibrosis-Associated Symptoms Using an Anchor-Based Analysis Based on MANIFEST Arm 3 Data

2023· article· en· W4389235188 sur OpenAlexaff
Ruben A. Mesa, Vikas Gupta, John Mascarenhas, Gabriella Hobbs, Jean‐Jacques Kiladjian, Giacomo Coltro, Vincenzo Bagnardi, Chiara Oriecuia, Lennart Kann, Gozde Colak, Claire Harrison, Debarshi Dey

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésRuxolitinibMedicineClinical endpointMyelofibrosisClinical trialInternal medicineMinimal clinically important differencePhlebotomySurgeryRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

Background Myelofibrosis (MF) is a life-threatening hematologic neoplasm that can arise as a primary condition or as a progression from polycythemia vera or essential thrombocythemia. The MF Symptom Assessment Form (MFSAF) v4.0 is a seven-item questionnaire that assesses symptom severity from the patients' (pts) perspective. Each item is rated on a scale from 0 (Absent) to 10 (Worst Imaginable). The MFSAF Total Symptom Score (TSS) ranges from 0 to 70, with higher scores indicating worse symptoms. A ≥50% reduction in TSS (TSS50) is a commonly used binary endpoint in clinical trials. However, the clinical meaningfulness of the dichotomization of response at 50% cutoff across the spectrum of responses remains uncertain. The relevance of considering TSS as a continuous endpoint in MF studies is assessed here to capture the full spectrum of symptom changes, enabling a potentially more accurate assessment of treatment effects. Pelabresib (CPI-0610) is an investigational oral small-molecule BET inhibitor, while the Janus kinase inhibitors (JAKis) ruxolitinib or fedratinib are the current standard of care for intermediate- or high-risk pts with MF.InArm 3 of the Phase 2 MANIFEST trial of JAKi treatment-naïve pts with MF treated with pelabresib and ruxolitinib, 56% achieved TSS50 response at Week (Wk) 24. Aims This anchor-based analysis aims to determine the minimal clinically important difference (MCID) of change in TSS as a continuous endpoint, based on data from JAKi treatment-naïve pts with MF treated with pelabresib and ruxolitinib, to better evaluate the incremental clinical benefit of treatment effects. Methods Data from Arm 3 of the MANIFEST Phase 2 study of treatment-naïve pts with MF treated with pelabresib combined with ruxolitinib were used (July 29, 2022 data cut). Anchor-based methods compare the change in a scale-based outcome measure with that of an established patient-reported outcome (PRO). These methods are commonly used to establish the MCID, defined as the smallest difference in score that pts consider beneficial. In this analysis, the Patient Global Impression of Change (PGIC), a seven-point scale reflecting overall improvement compared with baseline (BL), was used as the anchor PRO. On the PGIC, pts rated their change from ‘very much improved’ to ‘very much worse’ (Table 1). The relationship between TSS changes (percentage and absolute) at Wk 24 and PGIC categories was examined using correlation and graphical analyses. Linear and quantile regressions were applied to assess the impact of a one-point difference in PGIC score on TSS change at Wk 24, adjusting for BL TSS score. Only pts with available TSS and PGIC data at Wk 24 were included, with no imputation for missing values. Results In Arm 3 of the MANIFEST trial, 78 of 84 pts treated with pelabresib and ruxolitinib had complete TSS data and PGIC at Wk 24. At BL, mean TSS was 16.4 (SD=8.4), and median TSS was 15.5 (range 2.0-38.3). A -58.8% and -7.7 median percentage and absolute reduction in TSS at Wk 24 was observed, respectively. For PGIC at Wk 24 (Table 1), only six pts (7.7%) scored in the three worsening PGIC categories. Percentage and absolute changes in TSS, and the percentage TSS50 responders for each PGIC category are shown in Table 1. Linear regression demonstrated that a one-category increase in PGIC (indicating worsening) corresponded to an 11.89% increase (95% CI 3.12-20.65) in TSS (indicating worsening) at Wk 24. The quantile regression estimate for this relationship was 11.36% (3.53-19.19). For absolute change at Wk 24, a one-category increase in PGIC resulted in a 1.67 (range 0.74-2.60) increase in mean TSS, with a 1.87 (range 0.62-3.12) increase in median TSS. Conclusion Assuming a one-category change in the seven-category PGIC represents a clinically meaningful difference, the analyses suggest that the MCID in TSS for JAKi treatment-naïve pts with MF could be approximately 11-12% for percentage change from BL and approximately 1.5-2 points for absolute change from BL. These findings provide valuable guidance for assessing treatment outcomes and evaluating symptom improvements' clinical significance in this patient population. Further exploration of these findings requires larger data sets, which will be addressed in the forthcoming Phase 3 MANIFEST-2 study evaluating pelabresib and ruxolitinib versus placebo and ruxolitinib in JAKi treatment-naïve pts with MF.

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)0,020
score de la tête « metaresearch » (Gemma)0,037
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 enseignants0,020
Score d'incertitude au seuil0,105

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,037
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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.

Tête enseignante Opus0,067
Tête enseignante GPT0,361
Écart entre enseignants0,294 · 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

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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