Evidence map›Paper›PMID 38758583›Full record

Trial reportJournal of medical Internet research2024

Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial.

Christopher R Manz, Emily Schriver, William J Ferrell, Joelle Williamson, Jonathan Wakim, Neda Khan, Michael Kopinsky, Mohan Balachandran, Jinbo Chen, Mitesh S Patel and 5 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04616768 (A Feasibility Trial Using Remote Patient-reported Outcomes and Wearable Technology-reported Step Data to Compare Engagement, Utilization, and Functional Status in Patients With Incurable Lung and Gastrointestinal Cancers), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT04616768 phase3completednot on this map

A Feasibility Trial Using Remote Patient-reported Outcomes and Wearable Technology-reported Step Data to Compare Engagement, Utilization, and Functional Status in Patients With Incurable Lung and Gastrointestinal Cancers

TypeinterventionalSponsorAbramson Cancer Center at Penn MedicineRan2020 to 2021Enrolled108ConditionsCancer, Lung Cancer, Gastro-intestinalArmsPRO questionnaire, Step monitoring, Active nudge text feedback, PROStep Dashboard (clinicians)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Wearable-derived postdischarge mobility as a digital biomarker for 90-day readmission and mortality in metastatic cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
  4. Article
  5. Article
  6. Article
  7. Step count and symptom severity during cancer treatment using the Symptom Care at Home digital platform.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  8. Review
  9. Observational
  10. 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

15 authors.

Christopher R ManzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0000-0003-0928-3492
Emily SchriverInstitute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-4522-1029
William J FerrellDivision of Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-9966-1973
Joelle WilliamsonDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-9261-7205
Jonathan WakimDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-8114-8645
Neda KhanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-2741-5404
Michael KopinskyCenter for Health Care Innovation, Penn Medicine, Philadelphia, PA, United States.ORCID 0000-0003-2736-3824
Mohan BalachandranCenter for Health Care Innovation, Penn Medicine, Philadelphia, PA, United States.ORCID 0000-0001-8556-3846
Jinbo ChenPenn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-3174-2552
Mitesh S PatelAscension, St. Louis, MO, United States.ORCID 0000-0002-5997-9984
Samuel U TakvorianPenn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-1173-3846
Lawrence N ShulmanPenn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-8661-473X
Justin E BekelmanPenn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-7624-0188
Ian J Barnett *Department of Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-3256-5703
Ravi B Parikh *Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-2692-6306

Funding

Training in Oncology Population Sciences (TOPS)T32CA092203 · NCI · DANA-FARBER CANCER INST · PI Nancy L Keating, JENNIFER W MACK · 2018 to 2026
$3.7M
Human-Machine Collaborations to Improve Prognosis and Clinical Decision-Making in Advanced CancerK08CA263541 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PARIKH, RAVI BHARAT · 2021 to 2025
$1.2M
NCI NIH HHS K08 CA263541NCI NIH HHS T32 CA092203
6 · The paper itself

Abstract

backgroundPatients with advanced cancer undergoing chemotherapy experience significant symptoms and declines in functional status, which are associated with poor outcomes. Remote monitoring of patient-reported outcomes (PROs; symptoms) and step counts (functional status) may proactively identify patients at risk of hospitalization or death.

objectiveThe aim of this study is to evaluate the association of (1) longitudinal PROs with step counts and (2) PROs and step counts with hospitalization or death.

methodsThe PROStep randomized trial enrolled 108 patients with advanced gastrointestinal or lung cancers undergoing cytotoxic chemotherapy at a large academic cancer center. Patients were randomized to weekly text-based monitoring of 8 PROs plus continuous step count monitoring via Fitbit (Google) versus usual care. This preplanned secondary analysis included 57 of 75 patients randomized to the intervention who had PRO and step count data. We analyzed the associations between PROs and mean daily step counts and the associations of PROs and step counts with the composite outcome of hospitalization or death using bootstrapped generalized linear models to account for longitudinal data.

resultsAmong 57 patients, the mean age was 57 (SD 10.9) years, 24 (42%) were female, 43 (75%) had advanced gastrointestinal cancer, 14 (25%) had advanced lung cancer, and 25 (44%) were hospitalized or died during follow-up. A 1-point weekly increase (on a 32-point scale) in aggregate PRO score was associated with 247 fewer mean daily steps (95% CI -277 to -213; P<.001). PROs most strongly associated with step count decline were patient-reported activity (daily step change -892), nausea score (-677), and constipation score (524). A 1-point weekly increase in aggregate PRO score was associated with 20% greater odds of hospitalization or death (adjusted odds ratio [aOR] 1.2, 95% CI 1.1-1.4; P=.01). PROs most strongly associated with hospitalization or death were pain (aOR 3.2, 95% CI 1.6-6.5; P<.001), decreased activity (aOR 3.2, 95% CI 1.4-7.1; P=.01), dyspnea (aOR 2.6, 95% CI 1.2-5.5; P=.02), and sadness (aOR 2.1, 95% CI 1.1-4.3; P=.03). A decrease in 1000 steps was associated with 16% greater odds of hospitalization or death (aOR 1.2, 95% CI 1.0-1.3; P=.03). Compared with baseline, mean daily step count decreased 7% (n=274 steps), 9% (n=351 steps), and 16% (n=667 steps) in the 3, 2, and 1 weeks before hospitalization or death, respectively.

conclusionsIn this secondary analysis of a randomized trial among patients with advanced cancer, higher symptom burden and decreased step count were independently associated with and predictably worsened close to hospitalization or death. Future interventions should leverage longitudinal PRO and step count data to target interventions toward patients at risk for poor outcomes.

trial registrationClinicalTrials.gov NCT04616768; https://clinicaltrials.gov/study/NCT04616768. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2021-054675.

Indexed as

HospitalizationPatient Reported Outcome MeasuresAgedAntineoplastic AgentsFemaleGastrointestinal NeoplasmsHumansLung NeoplasmsMaleMiddle AgedNeoplasmsAntineoplastic Agentsaccelerometeraccelerometerscancerchemotherapydeathgastrointestinal cancerhospitalizationlung cancermobile phonemonitoringoncologypatient-generated health datapatient-reported outcomesriskstep countssymptom burdensymptomswearables

Identifiers

PMID38758583
PMCPMC11143393

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Registered trials

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.