Abstract 3752
Background
The expanding armamentarium of wearable devices offers new opportunities to supplement physician-assessed performance status (PS) with continuously acquired real-life patient data. It is relevant to identify and characterize the level of association between wearable device physical activity (PA) metrics and PS in cancer patients as a first step into evaluating their potential combined utility in evaluating treatment outcomes and clinical decisions. Therefore, we conducted a systematic review to examine the association between wearable device PA metrics and PS in cancer patients.
Methods
We searched PubMed and EMBASE for studies that were conducted among adults with cancer, quantitatively assessed a relation between wearable device PA metrics and PS, and had a full text available in English. We extracted information on study design and population, wearable device type and PA metrics, outcome definitions, and results. Included studies were subjected to methodological quality assessment.
Results
Nine studies with a total of 574 patients were included in this review. Eight studies had a prospective observational study design and all studies reported on a different combination of wearable device PA metrics including: steps per day (n = 5), sedentary behavior (n = 5), and PA volume/intensity (n = 4). Much heterogeneity was observed regarding study population, wearable devices used, and reporting of results. None of the studies could be defined to be of ‘high methodological quality’ (≥ 70%): mean methodological quality was 47% and ranged from 40-60%. We found moderate evidence for a positive association between steps per day and PS, and for a negative association between sedentary behavior and PS.
Conclusions
Much heterogeneity was identified between studies with regards to study population, reported PA metrics, and used devices. Nevertheless, results of this study indicate that higher daily step count is associated with better PS in cancer patients. Whereas sedentary behavior is associated with worse PS. The next step into determining their potential combined utility in evaluating treatment outcomes and clinical decisions is to investigate the association between wearable device PA metrics and cancer outcomes.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
H.W. Wilmink: Advisory / Consultancy: Shire; Advisory / Consultancy, Research grant / Funding (institution): Celgene; Research grant / Funding (institution): Servier; Research grant / Funding (institution): Halozyme; Research grant / Funding (institution): Novartis; Research grant / Funding (institution): AstraZeneca; Research grant / Funding (institution): Pfizer; Research grant / Funding (institution): Roche; Research grant / Funding (institution): Merck. H.W.M. van Laarhoven: Research grant / Funding (institution): Roche; Research grant / Funding (institution): Bayer; Advisory / Consultancy, Research grant / Funding (institution): BMS; Advisory / Consultancy, Research grant / Funding (institution): Celgene; Advisory / Consultancy, Research grant / Funding (institution): Lilly; Research grant / Funding (institution): Merck Serono; Research grant / Funding (institution): MSD; Advisory / Consultancy, Research grant / Funding (institution): Nordic; Research grant / Funding (institution): Philips. M. van Oijen: Research grant / Funding (institution): Roche; Research grant / Funding (institution): Lilly; Research grant / Funding (institution): Servier; Research grant / Funding (institution): Nordic; Research grant / Funding (institution): Amgen. All other authors have declared no conflicts of interest.
Resources from the same session
2671 - Luminal B breast cancer prognosis prediction by comprehensive analysis of Homeobox genes
Presenter: Ayako Nakashoji
Session: Poster Display session 3
Resources:
Abstract
2650 - Long non-coding RNA E2F4as promotes tumor progression and predicts patient prognosis in human ovarian cancer
Presenter: Sun-Ae Park
Session: Poster Display session 3
Resources:
Abstract
1462 - FGF19 promotes esophageal squamous cell carcinoma progression by inhibiting autophagy
Presenter: Lisha Ying
Session: Poster Display session 3
Resources:
Abstract
5787 - Proof of concept on the role of ex vivo lung cancer spheroids, cytokines expression and PBMCs profiling in monitoring disease history and response to treatments.
Presenter: Raimondo Di Liello
Session: Poster Display session 3
Resources:
Abstract
5253 - Circulating microRNAs related to DNA damage response as predictors of survival in metastatic non- small cell lung cancer patients treated with platinum-based chemotherapy
Presenter: Dimitris Mavroudis
Session: Poster Display session 3
Resources:
Abstract
5286 - Prognostic value of CTCs in advanced NSCLC patients treated with platinum-based chemotherapy
Presenter: Silvia Calabuig-Fariñas
Session: Poster Display session 3
Resources:
Abstract
5781 - Exosomes in NSCLC as a source of biomarkers
Presenter: Elena Duréndez
Session: Poster Display session 3
Resources:
Abstract
1447 - The role of Pim-1 in the development and progression of papillary thyroid carcinoma
Presenter: Xin Zhu
Session: Poster Display session 3
Resources:
Abstract
1323 - Development and Validation of a RNA-Seq Based Prognostic Signature in Neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster Display session 3
Resources:
Abstract
3290 - Identification of meningioma patients in high risk of tumor recurrence using microRNA profiling
Presenter: Josef Srovnal
Session: Poster Display session 3
Resources:
Abstract