Evidence map›Paper›PMID 40399391›Full record

ArticleScientific reports2025

Improved functional assessment in cancer patients using home-based digital technologies.

F Isik Karahanoglu, Christopher E Jensen, Xuemei Cai, Mar Santamaria, Dimitrios Psaltos, Andrew Messere, Charmaine Demanuele, Jodi Stone, Anil Tarachandani, Lukas Adamowicz and 2 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03952767 (The STEPP Study), which is not on this 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.

NCT03952767 nacompletednot on this map

The STEPP Study: Sensors To Evaluate Physical Performance

TypeinterventionalSponsorUNC Lineberger Comprehensive Cancer CenterRan2019 to 2022Enrolled63ConditionsOncologyArmsDigital Physical Measures and Survey Assessments
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

12 authors.

F Isik KarahanogluPfizer, Inc., Boston, MA, USA.
Christopher E JensenLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Xuemei CaiPfizer, Inc., Boston, MA, USA.
Mar SantamariaPfizer, Inc., Boston, MA, USA.
Dimitrios PsaltosPfizer, Inc., Boston, MA, USA.
Andrew MesserePfizer, Inc., Boston, MA, USA.
Charmaine DemanuelePfizer, Inc., Boston, MA, USA.
Jodi StoneLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Anil TarachandaniPfizer, Inc., Boston, MA, USA.
Lukas AdamowiczPfizer, Inc., Boston, MA, USA.
Hyman MussLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
William A WoodLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA. william_wood@med.unc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of performance status (PS) in oncology care is crucial for improving clinical decisions, therapy selection and anticipated risks of treatment toxicity. While physical function is traditionally assessed in the clinic, in-clinic instruments do not capture the full spectrum of daily functioning. Digital health technologies (DHTs) can address this limitation by passively monitoring patients in their daily environment. Our study showed at-home physical activity and gait metrics from DHTs were associated with self-reported PS in participants with cancer, and these metrics had greater discriminatory power than in-clinic measures among this cohort. The DHT-derived metrics were also significantly correlated with patient-reported-outcomes, and used of the devices was broadly acceptable to study participants. Therefore, integrating DHTs into oncological practice could significantly refine how PS is measured and utilized, ultimately enhancing treatment decision-making and clinical outcomes. (ClinicalTrials.gov NCT03952767).

Indexed as

Digital TechnologyNeoplasmsAdultAgedExerciseFemaleGaitHumansMaleMiddle AgedPatient Reported Outcome MeasuresSelf ReportTelemedicine

Identifiers

PMID40399391
PMCPMC12095631

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.