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    Prognostic value of patient-reported outcome measures (PROMs) in adults with non-small cell Lung Cancer: a scoping review

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    Authors
    Liao, K.
    Wang, T.
    Coomber-Moore, Jake
    Wong, D. C.
    Gomes, Fabio
    Faivre-Finn, Corinne
    Sperrin, M.
    Yorke, Janelle
    van der Veer, S. N.
    Affiliation
    Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
    Issue Date
    2022
    
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    Abstract
    Background: There is growing interest in the collection and use of patient-reported outcome measures (PROMs) to support clinical decision making in patients with non-small cell lung cancer (NSCLC). However, an overview of research into the prognostic value of PROMs is currently lacking. Aim: To explore to what extent, how, and how robustly the value of PROMs for prognostic prediction has been investigated in adults diagnosed with NSCLC. Methods: We systematically searched Medline, Embase, CINAHL Plus and Scopus for English-language articles published from 2011 to 2021 that report prognostic factor study, prognostic model development or validation study. Example data charting forms from the Cochrane Prognosis Methods Group guided our data charting on study characteristics, PROMs as predictors, predicted outcomes, and statistical methods. Two reviewers independently charted the data and critically appraised studies using the QUality In Prognosis Studies (QUIPS) tool for prognostic factor studies, and the risk of bias assessment section of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) for prognostic model studies. Results: Our search yielded 2,769 unique titles of which we included 31 studies, reporting the results of 33 unique analyses and models. Out of the 17 PROMs used for prediction, the EORTC QLQ-C30 was most frequently used (16/33); 12/33 analyses used PROM subdomain scores instead of the overall scores. PROMs data was mostly collected at baseline (24/33) and predominantly used to predict survival (32/33) but seldom other clinical outcomes (1/33). Almost all prognostic factor studies (26/27) had moderate to high risk of bias and all four prognostic model development studies had high risk of bias. Conclusion: There is an emerging body of research into the value of PROMs as a prognostic factor for survival in people with NSCLC but the methodological quality of this research is poor with significant bias. This warrants more robust studies into the prognostic value of PROMs, in particular for predicting outcomes other than survival. This will enable further development of PROM-based prediction models to support clinical decision making in NSCLC.
    Citation
    Liao K, Wang T, Coomber-Moore J, Wong DC, Gomes F, Faivre-Finn C, et al. Prognostic value of patient-reported outcome measures (PROMs) in adults with non-small cell Lung Cancer: a scoping review. BMC cancer. 2022 Oct 19;22(1):1076. PubMed PMID: 36261794. Pubmed Central PMCID: PMC9580146. Epub 2022/10/20. eng.
    Journal
    BMC Cancer
    URI
    http://hdl.handle.net/10541/625730
    DOI
    10.1186/s12885-022-10151-z
    PubMed ID
    36261794
    Additional Links
    https://dx.doi.org/10.1186/s12885-022-10151-z
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12885-022-10151-z
    Scopus Count
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