Evidence map›Paper›PMID 32297435›Full record

ReviewThe oncologist2020

The EORTC QLQ-C30 Summary Score as Prognostic Factor for Survival of Patients with Cancer in the "Real-World": Results from the Population-Based PROFILES Registry.

Olga Husson, Belle H de Rooij, Jacobien Kieffer, Simone Oerlemans, Floortje Mols, Neil K Aaronson, Winette T A van der Graaf, Lonneke V van de Poll-Franse

Open access · bronzeAbstract readReview
In one paragraph

Review in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 7 pooled it
9.2field-weighted citation impact, top 1% of its field
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

151 citing papers in PubMed, 7 syntheses or guidelines pooled it, 240 citations in OpenAlex.

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  2. Global quality of life and mortality risk in patients with cancer: a systematic review and meta-analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  4. Baseline functioning scales of EORTC QLQ-C30 predict overall survival in patients with gastrointestinal cancer: a meta-analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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91 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Olga HussonDepartment of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0002-1387-8686
Belle H de RooijCenter of Research on Psychology in Somatic diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands.
Jacobien KiefferDepartment of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Simone OerlemansThe Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands.
Floortje MolsCenter of Research on Psychology in Somatic diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands.
Neil K AaronsonDepartment of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Winette T A van der GraafDepartment of Medical Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Lonneke V van de Poll-FranseDepartment of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLTilburg University · NLNetherlands Comprehensive Cancer Organisation · NLRadboud University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQoL) has been shown to be a prognostic factor for cancer survival in randomized clinical trials and observational "real-world" cohort studies; however, it remains unclear which HRQoL domains are the best prognosticators. The primary aims of this population-based, observational study were to (a) investigate the association between the novel European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core30 (QLQ-C30) summary score and all-cause mortality, adjusting for the more traditional sociodemographic and clinical prognostic factors; and (b) compare the prognostic value of the QLQ-C30 summary score with the global quality of life (QoL) and physical functioning scales of the QLQ-C30. MATERIALS AND

methodsBetween 2008 and 2015, patients with cancer (12 tumor types) were invited to participate in PROFILES disease-specific registry studies (response rate, 69%). In this secondary analysis of 6,895 patients, multivariate Cox proportional hazard regression models were used to investigate the association between the QLQ-C30 scores and all-cause mortality.

resultsIn the overall Cox regression model including sociodemographic and clinical variables, the QLQ-C30 summary score was associated significantly with all-cause mortality (hazard ratio [HR], 0.77; 99% confidence interval [CI], 0.71-0.82). In stratified analyses, significant associations between the summary score and all-cause mortality were observed for colon, rectal, and prostate cancer, non-Hodgkin lymphoma, chronic lymphocytic leukemia, and multiple myeloma. The QLQ-C30 summary score had a stronger association with all-cause mortality than the global QoL scale (HR, 0.82; 99% CI, 0.77-0.86) or the physical functioning scale (HR, 0.81; 95% CI, 0.77-0.85).

conclusionIn a real-world setting, the QLQ-C30 summary score has a strong prognostic value for overall survival for a number of populations of patients with cancer above and beyond that provided by clinical and sociodemographic variables. The QLQ-C30 summary score appears to have more prognostic value than the global QoL, physical functioning, or any other scale within the QLQ-C30. IMPLICATIONS FOR PRACTICE: The finding that health-related quality of life provides distinct prognostic information beyond known sociodemographic and clinical measures, not only around cancer diagnosis (baseline) but also at follow-up, has implications for clinical practice. Implementation of cancer survivorship monitoring systems for ongoing surveillance may improve post-treatment rehabilitation that leads to better outcomes.

Indexed as

NeoplasmsQuality of LifeHumansMaleObservational Studies as TopicPrognosisRegistriesSurveys and QuestionnairesCancerHealth-related quality of lifeMortalityPatient-reported outcomeSurvival

Identifiers

PMID32297435
PMCPMC7160310
OpenAlexW2979404832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.