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Record W2910106990 · doi:10.1182/blood-2018-99-119631

Examining Convergent Construct Validity and Inter-Rater Reliability Between ESMO-MCBS and ASCO-VF When Evaluating Hematologic Malignancies

2018· article· en· W2910106990 on OpenAlexaffabout
Matthew C. Cheung, Ihsan Albakri, Robert M. Mason, Ronak Saluja, Sierra Cheng, Vanessa Sarah Arciero, Louis Everest, Kelvin Chan

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsHealth Sciences CentreUniversity of TorontoCancer Care OntarioSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineInternal medicineClinical OncologyOncologyClinical trialConstruct validityCancerSurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.167
metaresearch head score (Gemma)0.250
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1670.250
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0070.005
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.442
GPT teacher head0.413
Teacher spread0.030 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes2
Has abstractyes

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