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Cited by 323

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium

Open access
Coens, Corneel, Pe, Madeline, Dueck, Amylou C, Sloan, Jeff, Basch, Ethan, Calvert, Melanie, Campbell, Alicyn, Cleeland, Charles, Cocks, Kim, Collette, Laurence, Devlin, Nancy, Dorme, Lien, Flechtner, Hans-Henning, Gotay, Carolyn, Griebsch, Ingolf, Groenvold, Mogens, King, Madeleine, Kluetz, Paul G, Koller, Michael, Malone, Daniel C, Martinelli, Francesca, Mitchell, Sandra A, Musoro, Jammbe Z, O'Connor, Daniel, Oliver, Kathy, Piault-Louis, Elisabeth, Piccart, Martine, Quinten, Chantal, Reijneveld, Jaap C, Schürmann, Christoph, Smith, Ashley Wilder, Soltys, Katherine M, Taphoorn, Martin J B, Velikova, Galina, Bottomley, Andrew·2020·The Lancet Oncology
DOI 10.1016/s1470-2045(19)30790-9
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Abstract

Patient-reported outcomes (PROs), such as symptoms, function, and other health-related quality-of-life aspects, are increasingly evaluated in cancer randomised controlled trials (RCTs) to provide information about treatment risks, benefits, and tolerability. However, expert opinion and critical review of the literature showed no consensus on optimal methods of PRO analysis in cancer RCTs, hindering interpretation of results. The Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium was formed to establish PRO analysis recommendations. Four issues were prioritised: developing a taxonomy of research objectives that can be matched with appropriate statistical methods, identifying appropriate statistical methods for PRO analysis, standardising statistical terminology related to missing data, and determining appropriate ways to manage missing data. This Policy Review presents recommendations for PRO analysis developed through critical literature reviews and a structured collaborative process with diverse international stakeholders, which provides a foundation for endorsement; ongoing developments of these recommendations are also discussed.

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Metadata

Authors
Coens, C., Pe, M., Dueck, A. C., Sloan, J., Basch, E., Calvert, M., Campbell, A., Cleeland, C., Cocks, K., Collette, L., Devlin, N., Dorme, L., Flechtner, H.-H., Gotay, C., Griebsch, I., Groenvold, M., King, M., Kluetz, P. G., Koller, M., Malone, D. C., Martinelli, F., Mitchell, S. A., Musoro, J. Z., O'Connor, D., Oliver, K., Piault-Louis, E., Piccart, M., Quinten, C., Reijneveld, J. C., Schürmann, C., Smith, A. W., Soltys, K. M., Taphoorn, M. J. B., Velikova, G., & Bottomley, A.
Venue
The Lancet Oncology
Publisher
Elsevier BV
Published
2020-02
Volume
21
Issue
2
Pages
e83-e96
ISSN
1470-2045 (ISSN-L)
DOI
10.1016/s1470-2045(19)30790-9
OpenAlex
W3003402209
Cited by
323
References
51
FWCI
30.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium. https://app.cochat.ai/papers/10.1016/s1470-2045(19)30790-9
The paper
Coens, C., Pe, M., Dueck, A. C., Sloan, J., Basch, E., Calvert, M., Campbell, A., Cleeland, C., Cocks, K., Collette, L., Devlin, N., Dorme, L., Flechtner, H.-H., Gotay, C., Griebsch, I., Groenvold, M., King, M., Kluetz, P. G., Koller, M., . . . Bottomley, A. (2020). International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium. The Lancet Oncology. https://doi.org/10.1016/s1470-2045(19)30790-9

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.