Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data

Francesca Martinelli; Chantal Quinten; John T. Maringwa; Corneel Coens; Jurgen Vercauteren; Charles S. Cleeland; Henning Flechtner; Carolyn Gotay; Eva Greimel; Madeleine King; Tito Mendoza; David Osoba; Bryce B. Reeve; Jolie Ringash; Joseph Schmucker Von Koch; Qiuling Shi; Martin J. Taphoorn; Joachim Weis; Andrew Bottomley

doi:10.1586/erp.11.51

Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data

Francesca Martinelli, Chantal Quinten, John T. Maringwa, Corneel Coens, Jurgen Vercauteren, Charles S. Cleeland, Henning Flechtner, Carolyn Gotay, Eva Greimel, Madeleine King, Tito Mendoza, David Osoba, Bryce B. Reeve, Jolie Ringash, Joseph Schmucker Von Koch, Qiuling Shi, Martin J. Taphoorn, Joachim Weis, Andrew Bottomley

Symptom Research CAO

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Aims: Cancer patients experience multiple and concurrent health-related problems and symptoms due to their illness and therapies. The first objective of this analysis was to identify how health-related quality-of-life (HRQoL) indicators cluster among cancer patients and how possible clusters change across patients with different sociodemographic and clinical characteristics. The second objective of this study was to identify which HRQoL indicators are linked to patients? perception of overall quality of life. Methods: Retrospective pooling of 30 closed randomized European Organisation for Research and Treatment of Cancer (EORTC) clinical trials yielded baseline EORTC Quality of Life Core Questionnaire (QLQ-C30) HRQoL data for a total of 7417 patients. A cluster analysis was performed to determine how the 15 HRQoL indicators obtained with the QLQ-C30 cluster overall and by patient characteristics. Results: Three main clusters emerged from the overall dataset: a physical cluster, a psychological cluster and a gastrointestinal cluster. The same clusters were found in subgroups defined according to sociodemographic and clinical characteristics, while some differences emerged among cancer sites. The Global Health scale was found to be part of the physical cluster in the overall dataset. This result was consistent across different levels of disease severity, while divergent results were seen across some cancer sites. Conclusion: Our findings suggest that HRQoL indicators are interrelated. Understanding these relationships may aid clinicians in managing the symptom burden experienced by patients, as well as policy-makers, in defining psychosocial support plans.

Original language	English (US)
Pages (from-to)	587-599
Number of pages	13
Journal	Expert Review of Pharmacoeconomics and Outcomes Research
Volume	11
Issue number	5
DOIs	https://doi.org/10.1586/erp.11.51
State	Published - Oct 2011

Keywords

cancer
clinical trials
cluster analysis
patient-reported outcomes
quality of life

ASJC Scopus subject areas

Health Policy
Pharmacology (medical)

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10.1586/erp.11.51

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Martinelli, F., Quinten, C., Maringwa, J. T., Coens, C., Vercauteren, J., Cleeland, C. S., Flechtner, H., Gotay, C., Greimel, E., King, M., Mendoza, T., Osoba, D., Reeve, B. B., Ringash, J., Koch, J. S. V., Shi, Q., Taphoorn, M. J., Weis, J., & Bottomley, A. (2011). Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data. Expert Review of Pharmacoeconomics and Outcomes Research, 11(5), 587-599. https://doi.org/10.1586/erp.11.51

Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data. / Martinelli, Francesca; Quinten, Chantal; Maringwa, John T. et al.
In: Expert Review of Pharmacoeconomics and Outcomes Research, Vol. 11, No. 5, 10.2011, p. 587-599.

Research output: Contribution to journal › Article › peer-review

Martinelli, F, Quinten, C, Maringwa, JT, Coens, C, Vercauteren, J, Cleeland, CS, Flechtner, H, Gotay, C, Greimel, E, King, M, Mendoza, T, Osoba, D, Reeve, BB, Ringash, J, Koch, JSV, Shi, Q, Taphoorn, MJ, Weis, J & Bottomley, A 2011, 'Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data', Expert Review of Pharmacoeconomics and Outcomes Research, vol. 11, no. 5, pp. 587-599. https://doi.org/10.1586/erp.11.51

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title = "Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data",

abstract = "Aims: Cancer patients experience multiple and concurrent health-related problems and symptoms due to their illness and therapies. The first objective of this analysis was to identify how health-related quality-of-life (HRQoL) indicators cluster among cancer patients and how possible clusters change across patients with different sociodemographic and clinical characteristics. The second objective of this study was to identify which HRQoL indicators are linked to patients? perception of overall quality of life. Methods: Retrospective pooling of 30 closed randomized European Organisation for Research and Treatment of Cancer (EORTC) clinical trials yielded baseline EORTC Quality of Life Core Questionnaire (QLQ-C30) HRQoL data for a total of 7417 patients. A cluster analysis was performed to determine how the 15 HRQoL indicators obtained with the QLQ-C30 cluster overall and by patient characteristics. Results: Three main clusters emerged from the overall dataset: a physical cluster, a psychological cluster and a gastrointestinal cluster. The same clusters were found in subgroups defined according to sociodemographic and clinical characteristics, while some differences emerged among cancer sites. The Global Health scale was found to be part of the physical cluster in the overall dataset. This result was consistent across different levels of disease severity, while divergent results were seen across some cancer sites. Conclusion: Our findings suggest that HRQoL indicators are interrelated. Understanding these relationships may aid clinicians in managing the symptom burden experienced by patients, as well as policy-makers, in defining psychosocial support plans.",

keywords = "cancer, clinical trials, cluster analysis, patient-reported outcomes, quality of life",

author = "Francesca Martinelli and Chantal Quinten and Maringwa, {John T.} and Corneel Coens and Jurgen Vercauteren and Cleeland, {Charles S.} and Henning Flechtner and Carolyn Gotay and Eva Greimel and Madeleine King and Tito Mendoza and David Osoba and Reeve, {Bryce B.} and Jolie Ringash and Koch, {Joseph Schmucker Von} and Qiuling Shi and Taphoorn, {Martin J.} and Joachim Weis and Andrew Bottomley",

note = "Funding Information: This study was funded by an unrestricted academic grant from the Pfizer Foundation, administered through the King Baudouin Foundation, for the EORTC PROBE group. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.",

year = "2011",

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doi = "10.1586/erp.11.51",

language = "English (US)",

volume = "11",

pages = "587--599",

journal = "Expert Review of Pharmacoeconomics and Outcomes Research",

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T1 - Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials

T2 - A pooled study of baseline EORTC QLQ-C30 data

AU - Martinelli, Francesca

AU - Quinten, Chantal

AU - Maringwa, John T.

AU - Coens, Corneel

AU - Vercauteren, Jurgen

AU - Cleeland, Charles S.

AU - Flechtner, Henning

AU - Gotay, Carolyn

AU - Greimel, Eva

AU - King, Madeleine

AU - Mendoza, Tito

AU - Osoba, David

AU - Reeve, Bryce B.

AU - Ringash, Jolie

AU - Koch, Joseph Schmucker Von

AU - Shi, Qiuling

AU - Taphoorn, Martin J.

AU - Weis, Joachim

AU - Bottomley, Andrew

N1 - Funding Information: This study was funded by an unrestricted academic grant from the Pfizer Foundation, administered through the King Baudouin Foundation, for the EORTC PROBE group. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

PY - 2011/10

Y1 - 2011/10

N2 - Aims: Cancer patients experience multiple and concurrent health-related problems and symptoms due to their illness and therapies. The first objective of this analysis was to identify how health-related quality-of-life (HRQoL) indicators cluster among cancer patients and how possible clusters change across patients with different sociodemographic and clinical characteristics. The second objective of this study was to identify which HRQoL indicators are linked to patients? perception of overall quality of life. Methods: Retrospective pooling of 30 closed randomized European Organisation for Research and Treatment of Cancer (EORTC) clinical trials yielded baseline EORTC Quality of Life Core Questionnaire (QLQ-C30) HRQoL data for a total of 7417 patients. A cluster analysis was performed to determine how the 15 HRQoL indicators obtained with the QLQ-C30 cluster overall and by patient characteristics. Results: Three main clusters emerged from the overall dataset: a physical cluster, a psychological cluster and a gastrointestinal cluster. The same clusters were found in subgroups defined according to sociodemographic and clinical characteristics, while some differences emerged among cancer sites. The Global Health scale was found to be part of the physical cluster in the overall dataset. This result was consistent across different levels of disease severity, while divergent results were seen across some cancer sites. Conclusion: Our findings suggest that HRQoL indicators are interrelated. Understanding these relationships may aid clinicians in managing the symptom burden experienced by patients, as well as policy-makers, in defining psychosocial support plans.

AB - Aims: Cancer patients experience multiple and concurrent health-related problems and symptoms due to their illness and therapies. The first objective of this analysis was to identify how health-related quality-of-life (HRQoL) indicators cluster among cancer patients and how possible clusters change across patients with different sociodemographic and clinical characteristics. The second objective of this study was to identify which HRQoL indicators are linked to patients? perception of overall quality of life. Methods: Retrospective pooling of 30 closed randomized European Organisation for Research and Treatment of Cancer (EORTC) clinical trials yielded baseline EORTC Quality of Life Core Questionnaire (QLQ-C30) HRQoL data for a total of 7417 patients. A cluster analysis was performed to determine how the 15 HRQoL indicators obtained with the QLQ-C30 cluster overall and by patient characteristics. Results: Three main clusters emerged from the overall dataset: a physical cluster, a psychological cluster and a gastrointestinal cluster. The same clusters were found in subgroups defined according to sociodemographic and clinical characteristics, while some differences emerged among cancer sites. The Global Health scale was found to be part of the physical cluster in the overall dataset. This result was consistent across different levels of disease severity, while divergent results were seen across some cancer sites. Conclusion: Our findings suggest that HRQoL indicators are interrelated. Understanding these relationships may aid clinicians in managing the symptom burden experienced by patients, as well as policy-makers, in defining psychosocial support plans.

KW - cancer

KW - clinical trials

KW - cluster analysis

KW - patient-reported outcomes

KW - quality of life

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Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: A pooled study of baseline EORTC QLQ-C30 data

Abstract

Keywords

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