Evidence map›Paper›PMID 42726154›Full record

Observational studySupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Wearable-derived postdischarge mobility as a digital biomarker for 90-day readmission and mortality in metastatic cancer.

Orhun Akdogan, Galip Can Uyar, Cristiane Decat Bergerot, Joseph W McCollom, Tuba Ugur Tuzcu, Enes Yesilbas, Fatih Umunc, Kadriye Baskurt, Gozde Savas, Ozgen Ahmet Yildirim and 9 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06687330 (Evaluating the Role of Step Counts in Predicting Readmission and Mortality in Unplanned Hospitalized Cancer Patients), which is not on this map. Not yet cited in PubMed.

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

NCT06687330 completednot on this map

Evaluating the Role of Step Counts in Predicting Readmission and Mortality in Unplanned Hospitalized Cancer Patients: A Prospective Observational Study, STEP-CANCER

TypeobservationalSponsorGazi UniversityRan2024 to 2025Enrolled220ConditionsExercise, Smart Watch, Quality of Life (QOL), Sleep QualityArmsTracking Mobility and Health Data with a Smartwatch in Discharged Oncology Patients to Predict Rehospitalization: A Prospective Study
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Orhun Akdogan *Department of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey. orhunakdogan@gmail.com.ORCID https://orcid.org/0000-0003-0212-1191
Galip Can Uyar *Department of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Cristiane Decat BergerotOncoclinicas&Co-Medica Scientia Innovation Research (MEDSIR), Sao Paulo, Brazil.
Joseph W McCollomParkview Packnett Family Cancer Institute, Parkview Health System, Fort Wayne, IN, USA.
Tuba Ugur TuzcuDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Enes YesilbasDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Fatih UmuncDepartment of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.
Kadriye BaskurtDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Gozde SavasDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Ozgen Ahmet YildirimDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Fatih GurlerDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Kadriye Bir YucelDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Ugur CoskunDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Aytug UnerDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Ahmet OzetDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Ozan YaziciDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Nuriye OzdemirDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Berna OksuzogluDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
Osman SutcuogluDepartment of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe postdischarge period after unplanned hospitalization is a vulnerable transition for patients with metastatic cancer, often accompanied by functional decline, symptom burden, psychological distress, early readmission, and death. However, short-term risk assessment during this period still relies largely on episodic clinician-rated measures. We evaluated whether wearable-derived postdischarge step counts are associated with 90-day readmission, mortality, and patient-reported outcomes in patients with metastatic cancer.

methodsIn this prospective, two-center cohort study, adults with stage IV solid tumors discharged after unplanned hospitalization from two tertiary oncology centers were followed for 90 days. Physical activity was assessed using a wrist-worn wearable device, and median daily step count during a prespecified 14-day postdischarge landmark period was used as the main exposure. The primary outcome was unplanned 90-day readmission, and the secondary outcome was 90-day all-cause mortality. Associations with health-related quality of life, sleep quality, anxiety, and depressive symptoms were also evaluated using validated patient-reported outcome measures.

resultsAmong 200 evaluable patients, 86 (43.0%) experienced unplanned readmission and 56 (28.0%) died within 90 days. Receiver operating characteristic analysis identified 3013 steps/day as the optimal cutoff for 90-day readmission. Patients with lower postdischarge activity (≤ 3013 steps/day) had substantially higher readmission (73.0% vs 13.0%) and mortality (47.0% vs 9.0%) rates than those with higher activity (both p < 0.001). In multivariable analysis, low step count remained independently associated with readmission (adjusted OR 22.9, 95% CI 9.3-56.6) and mortality (HR 5.46, 95% CI 2.54-11.74). Median daily step count demonstrated strong discrimination for 90-day readmission (AUC 0.86) and mortality (AUC 0.83). Higher postdischarge activity was also associated with better quality of life, better sleep, and lower anxiety and depressive symptom burden. Each 1000-step increase was associated with lower odds of poor sleep quality, clinically significant anxiety, and depressive symptoms.

conclusionWearable-derived postdischarge mobility was strongly associated with short-term clinical outcomes and supportive care-relevant patient-reported outcomes in metastatic cancer. These findings support further evaluation of objective activity monitoring as a scalable, patient-centered approach to postdischarge risk stratification. External validation and prospective interventional studies are needed before wearable-derived mobility measures can be used to guide supportive care strategies.

trial registrationClinicalTrials.gov Identifier: NCT06687330.

Indexed as

ExerciseNeoplasmsPatient ReadmissionWearable Electronic DevicesAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedNeoplasm MetastasisPatient DischargePatient Reported Outcome MeasuresProspective StudiesQuality of LifeBiomarkersMetastatic cancerPostdischarge periodReadmission

Identifiers

What Socratic holds

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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 Socratic graph.