Examining Convergent Construct Validity and Inter-Rater Reliability Between ESMO-MCBS and ASCO-VF When Evaluating Hematologic Malignancies
Notice bibliographique
Résumé
Abstract Introduction The American Society of Clinical Oncology Value Framework (ASCO-VF) and European Society for Medical Oncology Magnitude of Clinical Benefit Scale (ESMO-MCBS) have been developed to quantify clinical benefit and establish value of anticancer therapies. While ASCO-VF is indifferent to the cancer type, ESMO-MCBS does not endorse their framework for scoring hematologic malignancies. The reason for this exclusion and whether ESMO-MCBS can be applied in the hematologic setting is still unclear. The purpose of this study was to determine whether measurement characteristics of ESMO-MCBS are similar to ASCO-VF when evaluating hematologic malignancies. Methods Phase III randomized controlled trials (RCTs) of hematological malignancy drugs approved by the US Food and Drug Administration, European Medicines Agency and Health Canada between 2006 to 2017 were identified and scored using ASCO-VF (version 2) and ESMO-MCBS (version 1.1) by two independent reviewers. We assessed the convergent construct validity of the two frameworks to determine the degree to which these two theoretically similar measures assess the same construct of clinical benefit. Spearman correlation coefficients were calculated for the preliminary framework scores (using only the survival efficacy components of the scores) and the final framework scores (following adjustment of the preliminary scores with toxicity and quality of life (QoL) data). Correlation coefficients were also calculated for each subtype of blood cancer separately. The inter-rater reliability of the frameworks was assessed using intra-class correlation coefficients (ICC). Results In total, 48 studies were included and scored using the ASCO-VF (median score: 34.38; IQR: 22.26 - 51.69) and ESMO-MCBS (median score: 3; IQR: 2.75 - 4). Out of the 48 RCTs, 16 (33%) evaluated novel anticancer treatments for leukemia, 23 (48%) for myeloma, 8 (17%) for lymphoma and 1 (2%) for myelodysplastic syndromes. Spearman correlation coefficients between both frameworks for preliminary and final scores were 0.01 (95% CI, -0.23 to 0.25) and -0.02 (95% CI, -0.28 to 0.24), respectively. When stratified by indication, the correlation coefficients for the preliminary scores were -0.01 (95% CI, -0.50 to 0.49), -0.06 (95% CI, -0.46 to 0.29), and 0.58 (95% CI, -0.21 to 0.91) for leukemia, myeloma, and lymphoma, respectively. The correlation coefficients for the final scores by cancer indications were -0.09 (95% CI, -0.56 to 0.42), 0.15 (95% CI, -0.22 to 0.49), and -0.29 (95% CI, -0.86 to 0.52) for leukemia, myeloma, and lymphoma, respectively (Table 1). For both preliminary and final scores, ASCO-VF showed excellent and ESMO-MCBS showed good inter-rater reliability (Table 2). Conclusions Our results suggest divergent validity of ESMO-MCBS and ASCO-VF when assessing hematologic malignancies, indicating that these frameworks likely measure different constructs of clinical benefit in this setting. Furthermore, the ASCO-VF demonstrated improved inter-rater reliability compared to ESMO-MCBS. It remains unclear which framework is correctly assessing the clinical benefit of hematologic drugs. To better understand if one framework is more accurate in its evaluation, future research that compares these frameworks to other established measures of clinical benefit (such as quality adjusted life years) in the hematologic setting is warranted. Due to the lack of construct validity and ESMO's endorsement of their framework solely for solid cancers, the ASCO-VF should currently be considered for use in the hematologic setting. Disclosures No relevant conflicts of interest to declare.
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 | 0,167 | 0,250 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,006 |
| Bibliométrie | 0,007 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».