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Record W2936254348 · doi:10.1007/s11136-017-1658-6

Health-related quality of life in non-transplant eligible newly diagnosed multiple myeloma patients treated with melphalan/prednisolone plus either thalidomide or lenalidomide; results of the HOVON87/NMSG18 study

2017· article· en· W2936254348 on OpenAlexfundno aff
Nielsen Lk, Claudia A.M. Stege, Birgit I. Lissenberg‐Witte, Bronno van der Holt, U-H Mellqvist, Morten Salomo, M-D Levin, Markus Hansson, Trine Lindhardt Plesner, Damian Szatkowski, Einar Haukås, Peter Gimsing, Pieter Sonneveld, Niels Abildgaard, Anders Waage, Sonja Zweegman

Bibliographic record

VenuePure Amsterdam UMC · 2017
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
FundersSchool of Medicine, Indiana UniversityMedical Center, University of PittsburghLiaoning University of Traditional Chinese MedicineHospital for Sick ChildrenNational Institute for Health and Care ResearchUniversità degli Studi del Piemonte OrientaleUniversità degli Studi di PaviaUniversity of TorontoUniversiteit van AmsterdamUniversity of BristolUniversity of AberdeenUniversitat Pompeu FabraNational Taiwan UniversityKarolinska InstitutetInstitut National de la Santé et de la Recherche MédicaleMemorial Sloan-Kettering Cancer CenterUniversità degli Studi di CagliariUniversity of PittsburghLiaoning UniversityUniversitair Medisch Centrum GroningenKræftens BekæmpelseUniwersytet Jagielloński Collegium MedicumUniversity of OxfordMcMaster UniversityMarie CurieFondazione IRCCS Policlinico San Matteo
KeywordsMedicineLenalidomideThalidomideMelphalanQuality of life (healthcare)Multiple myelomaInternal medicinePhysical therapyPeripheral neuropathyMaintenance therapySurgeryChemotherapy

Abstract

fetched live from OpenAlex

Aims: The aim is to evaluate the health-related quality of life (HRQoL) results of HOVON87/NMSG18 study (Zweegman et al., Blood 2016;127(9):1109-1116). Non-transplant eligible, newly diagnosed multiple myeloma patients were randomized between melphalan/prednisolone plus either thalidomide or lenalidomide for nine induction cycles, followed by thalidomide or lenalidomide maintenance (MPT-T or MRP-R). The study showed comparable efficacy of treatment. Methods: The validated instruments, EORTC QLQ-C30 and EORTC QLQ-MY20, were used for HRQoL measurement and were optional in the study. The patients answered the questionnaires at baseline, after 3 and 9 induction cycles and after 6 and 12 months of maintenance. Changes in HRQoL score over time during treatment and between groups were evaluated according to previously published levels of minimal important difference. Results: 613 of the total of 637 randomized patients chose to participate in the HRQoL reporting, and the baseline questionnaire was available from 553 patients (90.2%). Patient drop-out during follow-up was due to progressive disease, toxicity, death and other, and reduced the number of patients completing the therapy to 42 (15%) patients in the MPT-T and 93 (33%) in the MPR-R group. Both groups reported clinically meaningful improvement in global quality of life (QoL), physical functioning, pain, disease symptoms and insomnia. In the evaluation of difference between groups, the patients receiving MPR-R reported increasing diarrhea, better controlled pain at induction phase and increased global QoL and physical functioning during maintenance phase compared to MPT-T. The patients receiving MPT-T reported increasing constipation, better controlled pain during maintenance phase, better controlled fatigue during induction treatment and decreased insomnia compared to MPR-R. Conclusions: HRQoL during treatment is important to myeloma patients, especially when treatment efficacy of the treatment regimens is comparable. MPR-R and MPT-T both demonstrated improvements in global QoL, physical functioning and pain. Fatigue and insomnia were better controlled in the MPT-T group, which can be attributed to the thalidomide side effect of sleepiness. For interpretation of the HRQoL results patient drop-out rate must be taken in account, and we will recommend a HRQoL study design with high focus on data completeness and registration of reasons for missing data. (Figure Presented).

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.332
Teacher spread0.287 · 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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Citations1
Published2017
Admission routes1
Has abstractyes

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