Evidence map›Paper›PMID 40644640›Full record

Observational studyJCO clinical cancer informatics2025

Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy.

Carissa A Low, Christianna Bartel, Krina Durica, Heidi S Donovan, Roby Thomas, Jennifer Fedor

Abstract readObservational Study
In one paragraph

Observational study in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Carissa A LowUniversity of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-3318-7495
Christianna BartelUniversity of Pittsburgh, Pittsburgh, PA.ORCID 0000-0003-0781-232X
Krina DuricaUniversity of Pittsburgh, Pittsburgh, PA.ORCID 0000-0001-5287-375X
Heidi S DonovanUniversity of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-4889-8644
Roby ThomasUniversity of Pittsburgh Medical Center, Pittsburgh, PA.ORCID 0000-0003-4828-4586
Jennifer FedorUniversity of Pittsburgh, Pittsburgh, PA.ORCID 0009-0007-9589-3129

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Mobile sensors in cancer care: Patient and provider perspectives and impact on patient-provider communicationR37CA242545 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOW, CARISSA A · 2019 to 2025
$2.6M
NCATS NIH HHS UL1 TR001857NCI NIH HHS P30 CA047904NCI NIH HHS R37 CA242545
6 · The paper itself

Abstract

purposeConsumer wearable devices provide new opportunities for measuring patterns of objective daily physical activity throughout cancer treatment. In addition to capturing step counts, these devices can also measure gait cadence and activity fragmentation, two metrics that may reflect functional capacity. The goal of the current study was to examine whether step count, gait cadence, and activity fragmentation predicted overall survival in patients with solid tumors.

methodsWe enrolled patients (N = 213) receiving outpatient chemotherapy for any solid tumor into an observational cohort study. Patients wore a consumer wearable device to measure continuous physical activity patterns for up to 90 days and were followed for a median of 2.53 years, during which 42% of the sample died. Univariable and multivariable Cox proportional hazards regression analyses were used to evaluate associations between wearable device physical function metrics and survival.

resultsIn univariable analyses, higher step count (hazard ratio (HR), 0.87;

conclusionActivity fragmentation and gait cadence metrics derived from consumer wearable devices were associated with overall survival in patients receiving chemotherapy for any solid tumor. These associations remained statistically significant after adjustment for covariates, including clinician-rated performance status and patient-reported physical function. These findings suggest that wearable devices may capture important prognostic information about physical function independent of what clinicians and patients perceive.

Indexed as

ExerciseGaitNeoplasmsWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedPrognosis

Identifiers

PMID40644640
PMCPMC12258954

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.