Evidence map›Paper›PMID 24618388›Full record

ArticleHealth and quality of life outcomes2014

Mapping EORTC QLQ-C30 and QLQ-MY20 to EQ-5D in patients with multiple myeloma.

Irina Proskorovsky, Philip Lewis, Cathy D Williams, Karin Jordan, Charalampia Kyriakou, Jack Ishak, Faith E Davies

2 registry-linked trialsAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05053607 narecruitingnot on this mapstarted 2022, after this paper: background citation

Clinical and Patient Reported Outcomes for Individuals with Relapsed/Refractory Multiple Myeloma Treated with Isatuximab: Real-World Insights from Patient Reported, Wearable, and Qualitative Data in the Context of Digital Health Coaching

TypeinterventionalSponsorPack HealthRan2022 to 2025Enrolled50ConditionsMultiple Myeloma, Refractory Multiple MyelomaArmsDigital Health Coaching Program, Fitbit
NCT05956457 narecruitingnot on this mapstarted 2023, after this paper: background citation

Evaluating Patient-Reported Outcomes and Wearable Data Among Individuals With Relapsed/Refractory Multiple Myeloma

TypeinterventionalSponsorPack HealthRan2023 to 2026Enrolled100ConditionsMultiple Myeloma, Relapsed Hematologic MalignancyArmsDigital Health Coaching Program, Fitbit
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Cost-effectiveness analysis of voice rehabilitation for patients with laryngeal cancer: a randomized controlled study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
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  16. Mapping the Haem-A-QoL to the EQ-5D-5L in patients with hemophilia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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  19. Cost-Effectiveness of Post-Autotransplant Lenalidomide in Persons with Multiple Myeloma.Mediterranean journal of hematology and infectious diseases · 2021
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  20. Symptom burden and its functional impact in patients with "symptomatic" relapsed or refractory multiple myeloma.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Irina ProskorovskyEvidera, 7575 Trans-Canada Highway, Suite 500, H4T 1V6 Montreal, QC, Canada. Irina.Proskorovsky@evidera.com.
Philip Lewis
Cathy D Williams
Karin Jordan
Charalampia Kyriakou
Jack Ishak
Faith E Davies

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn oncology, health-related quality of life (HRQoL) data are often collected using disease-specific patient questionnaires while generic, patient-level utility data required for health economic modeling are often not collected.

methodsWe developed a mapping algorithm for multiple myeloma that relates HRQoL scores from the European Organization for Research and Treatment of Cancer (EORTC) questionnaires QLQ-C30 and QLQ-MY20 to a utility value from the European QoL-5 Dimensions (EQ-5D) questionnaire. Data were obtained from 154 multiple myeloma patients who had participated in a multicenter cohort study in the UK or Germany. All three questionnaires were administered at a single time point. Scores from all 19 domains of the QLQ-C30 and QLQ-MY20 instruments were univariately tested against EQ-5D values and retained in a multivariate regression model if statistically significant. A 10-fold cross-validation model selection method was also used as an alternative testing means. Two models were developed: one based on QLQ-C30 plus QLQ-MY20 scores and one based on QLQ-C30 scores alone. Adjusted R-squared, correlation coefficients, and plots of observed versus predicted EQ-5D values were presented for both models.

resultsMapping revealed that Global Health Status/QoL, Physical Functioning, Pain, and Insomnia were significant predictors of EQ-5D utility values. Similar results were observed when QLQ-MY20 scores were excluded from the model, except that Emotional Functioning and became a significant predictor and Insomnia was no longer a significant predictor. Adjusted R-squared values were of similar magnitude with or without inclusion of QLQ-MY20 scores (0.70 and 0.69, respectively), suggesting that the EORTC QLQ-MY20 adds little in terms of predicting utility values in multiple myeloma.

conclusionsThis algorithm successfully mapped EORTC HRQoL data onto EQ-5D utility in patients with multiple myeloma. Current mapping will aid in the analysis of cost-effectiveness of novel therapies for this indication.

Indexed as

Quality of LifeSurveys and QuestionnairesAgedAlgorithmsCohort StudiesCross-Sectional StudiesEuropean UnionFemaleGermanyHealth Status IndicatorsHumansLogistic ModelsMaleMultiple MyelomaPsychometricsReproducibility of Results

Identifiers

PMID24618388
PMCPMC4007827

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.