Evidence map›Paper›PMID 36607832›Full record

Trial reportBlood advances2023

Determinants of low health-related quality of life in patients with myelodysplastic syndromes: EUMDS Registry study.

Igor Stojkov, Annette Conrads-Frank, Ursula Rochau, Marjan Arvandi, Karin A Koinig, Michael Schomaker, Moshe Mittelman, Pierre Fenaux, David Bowen, Guillermo F Sanz and 17 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00600860 (A Prospective, Multicentre European Registry for Newly Diagnosed Patients With Myelodysplastic Syndromes), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

NCT00600860 unknown statusnot on this map

A Prospective, Multicentre European Registry for Newly Diagnosed Patients With Myelodysplastic Syndromes (MDS), Including Acute Myeloid Leukaemia With 20-<30 Percent Marrow Blasts (Former RAEB-t), and Chronic Myelomonocytic Leukaemia (CMML)

TypeobservationalSponsorRadboud University Medical CenterRan2008 to 2023Enrolled4,000ConditionsMyelodysplastic Syndromes (MDS)ArmsNo interventions
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
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

27 authors.

Igor StojkovInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.ORCID 0000-0001-6788-7986
Annette Conrads-FrankInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Ursula RochauInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Marjan ArvandiInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Karin A KoinigDepartment of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria.ORCID 0000-0002-3659-4934
Michael SchomakerInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.ORCID 0000-0002-8475-0591
Moshe MittelmanDepartment of Medicine A, Tel Aviv Sourasky (Ichilov) Medical Center and Sackler Medical Faculty, Tel Aviv University, Tel Aviv, Israel.
Pierre FenauxService d'Hématologie Séniors, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris and Université Paris 7, Paris, France.
David BowenSt. James's Institute of Oncology, Leeds Teaching Hospitals, Leeds, United Kingdom.
Guillermo F SanzDepartment of Haematology, Hospital Universitario y Politécnico La Fe, Valencia, Spain.ORCID 0000-0002-2767-8191
Luca MalcovatiDepartment of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.ORCID 0000-0002-1460-1611
Saskia LangemeijerDepartment of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
Ulrich GermingDepartment of Haematology, Oncology and Clinical Immunology, Universitätsklinik Düsseldorf, Düsseldorf, Germany.
Krzysztof MadryDepartment of Haematology, Oncology and Internal Medicine, Warszawa Medical University, Warsaw, Poland.
Agnès Guerci-BreslerService d'Hématologie Clinique, Centre Hospitalier Universitaire Brabois, Nancy, France.
Dominic J CulliganDepartment of Haematology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom.
Ioannis KotsianidisDepartment of Hematology, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece.
Laurence SanhesHaematology Department of Perpignan, Saint Jean Hospital, Perpignan, France.
Juliet MillsWorcestershire Acute Hospitals NHS Trust and University Hospitals Birmingham NHS Foundation Trust, Worcester, United Kingdom.
Sibylle PuntscherInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Daniela SchmidDivision for Quantitative Methods in Public Health and Health Services Research, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Corine van MarrewijkDepartment of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-9547-908X
Alexandra SmithEpidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom.ORCID 0000-0002-1111-966X
Fabio EfficaceHealth Outcomes Research Unit, Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA), Rome, Italy.
Theo de WitteDepartment of Tumor Immunology - Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Reinhard StauderDepartment of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria.ORCID 0000-0002-8993-9561
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.ORCID 0000-0001-6425-7671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with myelodysplastic syndromes (MDS) frequently experience a significant symptom burden, which reduces health-related quality of life (HRQoL). We aimed to identify determinants of low HRQoL in patients recently diagnosed with MDS, for guiding early intervention strategies. We evaluated longitudinal data in 2205 patients with MDS during their first year after diagnosis. Median values of EQ-5D 3-level (EQ-5D-3L) index (0.78) and visual analog scale (VAS) score (0.70) were used as thresholds for low HRQoL. In addition, the 5 dimensions of EQ-5D-3L were analyzed for impairments (any level vs "no problem" category). After multiple imputation of missing values, we used generalized estimating equations (GEE) to estimate odds ratios (OR) for univariable determinant screening (P < .15), and to subsequently derive multivariable models for low HRQoL with 95% confidence intervals (CI). Multivariable GEE analysis showed the following independent determinants (OR, 95% CI) for low EQ-5D index: increased age (60-75 years: 1.33, 1.01-1.75; >75: 1.84, 1.39-2.45), female sex (1.70, 1.43-2.03), high serum ferritin level (≥1000 vs ≤300 μg/L: 1.41, 1.06-1.87), comorbidity burden (per unit: 1.11, 1.02-1.20), and reduced Karnofsky performance status (KPS, per 10 units: 0.62, 0.58-0.67). For low VAS score, additional determinants were transfusion dependence (1.53, 1.03-2.29), low hemoglobin <10 g/dL (1.34, 1.12-1.61), and high body mass index (≥30 vs 23-29.9 kg/m2: 1.26, 1.02-1.57). Sex, KPS, comorbidity burden, hemoglobin count, and transfusion burden were determinants for all EQ-5D dimensions. Low HRQoL is determined by multiple factors, which should be considered in the management and shared decision making of patients with MDS. This trial was registered at www.clinicaltrials.gov as #NCT00600860.

Indexed as

Myelodysplastic SyndromesQuality of LifeAgedComorbidityCross-Sectional StudiesFemaleHumansMiddle Aged

Identifiers

PMID36607832
PMCPMC10275700

What OpenQuestion holds

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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.