Evidence map›Paper›PMID 39279019›Full record

ArticleAnnals of hematology2024

Impact of comorbidity on health-related quality of life in newly diagnosed patients with lymphoma or multiple myeloma: results from the PROFILES-registry.

Afke Ekels, Lonneke V van de Poll-Franse, Djamila E Issa, Mels Hoogendoorn, Marten R Nijziel, Adrianus Koster, Cornelis N de Jong, Ahmed Achouiti, Noortje Thielen, Lidwine W Tick and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Remote blood collection among cancer patients and age- and sex-matched controls for biomarker and genetic analyses using the PROFILES registry.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  2. 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

18 authors.

Afke EkelsDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands. a.ekels@IKNL.nl.
Lonneke V van de Poll-FranseDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.
Djamila E IssaDepartment of Internal Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
Mels HoogendoornDepartment of Hematology, Medical Center Leeuwarden, Leeuwarden, The Netherlands.
Marten R NijzielDepartment of Hemato-oncology, Catharina Cancer Institute, Catharina Hospital, Eindhoven, The Netherlands.
Adrianus KosterDepartment of Internal Medicine, VieCuri Medical Centre, Venlo and Venray, The Netherlands.
Cornelis N de JongDepartment of Internal Medicine, Gelderse Vallei Hospital, Ede, The Netherlands.
Ahmed AchouitiDepartment of Internal Medicine, St. Jansdal Hospital, Harderwijk, The Netherlands.
Noortje ThielenDepartment of Internal Medicine, Diakonessenhuis, Utrecht, The Netherlands.
Lidwine W TickDepartment of Internal Medicine, Máxima Medical Centre, Eindhoven, The Netherlands.
Liane C J Te BoomeDepartment of Internal Medicine, Haaglanden Medical Center, The Hague, The Netherlands.
Lara H BohmerDepartment of Hematology, Haga Teaching Hospital, The Hague, The Netherlands.
Nicolette L Tiren-VerbeetDepartment of Internal Medicine, Groene Hart Hospital, Gouda, The Netherlands.
Gerrit J VeldhuisDepartment of Internal Medicine, Antonius Hospital, Sneek, The Netherlands.
Fransien de BoerDepartment of Internal Medicine, Ikazia Hospital, Rotterdam, The Netherlands.
Marjolein van der KliftDepartment of Haematology, Amphia, Breda, The Netherlands.
Eduardus F M PosthumaDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.
Simone OerlemansDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands. s.oerlemans@IKNL.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 480-08-009
6 · The paper itself

Abstract

With the increasing prevalence of comorbidity in an ageing population, it is crucial to better understand the impact of comorbidity on health-related quality of life (HRQoL) after lymphoma or multiple myeloma (MM) diagnosis. We included 261 newly diagnosed patients (67% response rate) diagnosed with lymphoma or MM between October 2020 and March 2023 in a longitudinal survey. The European Organisation for Research and Treatment of Cancer (EORTC) questionnaires were used to measure generic and disease-specific HRQoL. Evidence-based guidelines for interpretation of the EORTC questionnaires were used to identify clinical importance. Patients were classified as having 'no comorbidity', 'mild comorbidity' (e.g. arthrosis or rheumatism), or 'moderate-severe comorbidity' (e.g. heart or lung disease), using the adapted self-administered comorbidity questionnaire. At diagnosis, the mean age was 64 years, 63% were male and 38% reported no comorbidity, 33% mild comorbidity, and 29% moderate-severe comorbidity. Patients with mild or moderate-severe comorbidity reported clinically relevant worse HRQoL at diagnosis than patients without comorbidity. One year post-diagnosis most outcomes showed clinically relevant improvement, irrespective of comorbidity. However, outcomes of physical functioning (β=-7.9, p < 0.05), global health status (β=-7.6, p < 0.05), bone pain (β = 8.1 to 9.1, p < 0.05), muscle/joint pain (β = 14.5 to 18.8, p < 0.01) and muscle weakness (β = 10.4 to 15.6, p < 0.05) improved less among those with comorbidity, and clinically relevant differences between comorbidity groups persisted over time. With clinically relevant worse HRQoL at diagnosis and less recovery of HRQoL during the first year after diagnosis in patients with comorbidity, consideration of both prognosis and HRQoL is important when making treatment decisions.

Indexed as

ComorbidityMultiple MyelomaQuality of LifeRegistriesAgedAged, 80 and overFemaleHealth StatusHumansLongitudinal StudiesLymphomaMaleMiddle AgedSurveys and QuestionnairesComorbidityLymphomaPatient-reported outcomeQuality of lifeReal-world dataSymptoms

Identifiers

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Registered trials

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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.