Evidence map›Paper›PMID 38277879›Full record

ArticleJournal of geriatric oncology2024

Associations between performance-based and patient-reported physical functioning and real-world mobile sensor metrics in older cancer survivors: A pilot study.

Carissa A Low, Christianna Bartel, Jennifer Fedor, Krina C Durica, Gregory Marchetti, Andrea L Rosso, Grace Campbell

Abstract read
In one paragraph

Article in Journal of geriatric oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Observational
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

7 authors.

Carissa A LowUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA. Electronic address: lowca@upmc.edu.
Christianna BartelUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA.
Jennifer FedorUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA.
Krina C DuricaUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA.
Gregory MarchettiDuquesne University, 600 Forbes Avenue, Pittsburgh, PA 15282, USA.
Andrea L RossoUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA.
Grace CampbellUniversity of Pittsburgh, 3347 Forbes Avenue, Suite 200, Pittsburgh, PA 15213, USA; Duquesne University, 600 Forbes Avenue, Pittsburgh, PA 15282, USA.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 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
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
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 CA242545NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

introductionOlder cancer survivors are at increased risk for impaired physical functioning, but current assessments of function are difficult to implement in busy oncology clinics. Mobile devices measuring continuous activity and mobility in daily life may be useful for estimating physical functioning. The goal of this pilot study was to examine the associations between consumer wearable device (a wrist-worn activity tracker) and smartphone sensor data and commonly used clinical measures of physical function in cancer survivors aged 65 and older. MATERIALS AND

methodsOlder adults within five years of completing primary treatment for any cancer completed standardized questionnaires and performance-based tests to measure physical functioning. Continuous passive data from smartphones and consumer wearable devices were collected for four weeks and linked to patient-reported and performance-based physical functioning as well as patient-reported falls or near falls at the end of the four-week monitoring period. To examine associations between sensor variables and physical functioning, we conducted bivariate Pearson correlations as well as multivariable linear regression analyses. To examine associations between sensor variables and falls, we conducted exploratory receiver operating characteristic curve and multivariable logistic regression analyses.

resultsWe enrolled 40 participants (mean age 73 years old, range 65-83; 98% White; 50% female). In bivariate analyses, consumer wearable device features reflecting greater amount and speed and lower fragmentation of walking in daily life were significantly related to better patient-reported function (r= 0.43-0.65) and performance-based physical function (r = 0.56-0.72), while smartphone features reflecting more geographic mobility were related to better performance-based physical function (r = 0.40-0.42) but not patient-reported function. After adjusting for age and comorbidities, only consumer wearable device features remained associated with performance-based physical functioning. In exploratory analyses, peak gait cadence was associated with fall risk even after covariate adjustment. DISCUSSION: This study provides preliminary evidence that real-world data from consumer devices may be useful for estimating functional performance among older cancer survivors and potentially for remotely and longitudinally monitoring functioning in older patients during and after cancer treatment.

Indexed as

Cancer SurvivorsNeoplasmsWearable Electronic DevicesAgedAged, 80 and overFemaleGaitHumansMalePatient Reported Outcome MeasuresPilot ProjectsAgingCancerMobile healthPhysical functionSensorSurvivorshipWearable device

Identifiers

PMID38277879
PMCPMC10923123

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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.