Observational studyJCO clinical cancer informatics2020
Use of Wearable Activity Tracker in Patients With Cancer Undergoing Chemotherapy: Toward Evaluating Risk of Unplanned Health Care Encounters.
Observational study in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- The Use of Wearable Devices in Oncology Patients: A Systematic Review.The oncologist · 2024Pooled it
- The association between wearable activity monitor metrics and performance status in oncology: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Pooled it
- Augmenting Performance Status: A Preliminary Study of Objective Kinematic Assessment Using Motion Capture.Oncology and therapy · 2026Article
- Correlates of Fitness Tracker Ownership and Use in Cancer Survivors: Cross-Sectional Survey.JMIR cancer · 2026Article
- Next generation performance status: digital health technologies across the lung cancer continuum.Frontiers in digital health · 2025Review
- Automated, Real-Time Integration of Biometric Data From Wearable Devices With Electronic Medical Records: A Feasibility Study.JCO clinical cancer informatics · 2024Article
- Data-Driven Personalized Care in Lung Cancer: Scoping Review and Clinical Recommendations on Performance Status and Activity Level of Patients With Lung Cancer Using Wearable Devices.JCO clinical cancer informatics · 2023Article
- Remote Activity Monitoring and Electronic Patient-Reported Outcomes Collection During Radiotherapy for Head and Neck Cancer: A Pilot Study.JCO clinical cancer informatics · 2023Article
- The 24-Hour Movement Paradigm: An integrated approach to the measurement and promotion of daily activity in cancer clinical trials.Contemporary clinical trials communications · 2023Article
- Frailty and Cancer: Current Perspectives on Assessment and Monitoring.Clinical interventions in aging · 2023Review
- A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population.Cancers · 2022Article
- Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review.JMIR bioinformatics and biotechnology · 2022Article
- Pilot Study of a Wearable Activity Monitor During Head and Neck Radiotherapy to Predict Clinical Outcomes.JCO clinical cancer informatics · 2022Article
- Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.Frontiers in public health · 2021Article
- Quantified Kinematics to Evaluate Patient Chemotherapy Risks in Clinic.JCO clinical cancer informatics · 2020Observational
- Holistic Needs Assessment of Cancer Survivors-Supporting the Process Through Digital Monitoring of Circadian Physiology.Integrative cancer therapiesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 3 institutions in 1 country.
Funding
Abstract
purposeUnplanned health care encounters (UHEs) such as emergency room visits can occur commonly during cancer chemotherapy treatments. Patients at an increased risk of UHEs are typically identified by clinicians using performance status (PS) assessments based on a descriptive scale, such as the Eastern Cooperative Oncology Group (ECOG) scale. Such assessments can be bias prone, resulting in PS score disagreements between assessors. We therefore propose to evaluate PS using physical activity measurements (eg, energy expenditure) from wearable activity trackers. Specifically, we examined the feasibility of using a wristband (band) and a smartphone app for PS assessments.
methodsWe conducted an observational study on a cohort of patients with solid tumor receiving highly emetogenic chemotherapy. Patients were instructed to wear the band for a 60-day activity-tracking period. During clinic visits, we obtained ECOG scores assessed by physicians, coordinators, and patients themselves. UHEs occurring during the activity-tracking period plus a 90-day follow-up period were later compiled. We defined our primary outcome as the percentage of patients adherent to band-wear ≥ 80% of 10 am to 8 pm for ≥ 80% of the activity-tracking period. In an exploratory analysis, we computed hourly metabolic equivalent of task (MET) and counted 10 am to 8 pm hours with > 1.5 METs as nonsedentary physical activity hours.
resultsForty-one patients completed the study (56.1% female; 61.0% age 40-60 years); 68% were adherent to band-wear. ECOG score disagreement between assessors ranged from 35.3% to 50.0%. In our exploratory analysis, lower average METs and nonsedentary hours, but not higher ECOG scores, were associated with higher 150-day UHEs.
conclusionThe use of a wearable activity tracker is generally feasible in a similar population of patients with cancer. A larger randomized controlled trial should be conducted to confirm the association between lower nonsedentary hours and higher UHEs.
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