Evidence map›Paper›PMID 41870686›Full record

SynthesisJournal of neuro-oncology2026

Leveraging biometric data for meaningful outcome assessments in the care of patients with brain tumors: a systematic review.

Mabel Banson, George Lear, Kwadwo Darko, Rachel S F Moor, Jeet A Patel, Maryam Rahman

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

6 authors.

Mabel Banson *Department of Neurosurgery, Korle Bu Teaching Hospital, 25 Harley Street, Accra, Ghana. hsvati@gmail.com.
George Lear *Quillen College of Medicine, East Tennessee State University, Johnson City, TN, USA.
Kwadwo DarkoDepartment of Neurosurgery, Geisinger, Danville, PA, USA.
Rachel S F MoorLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Jeet A PatelLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Maryam RahmanLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWearable technologies are increasingly utilized in oncology to provide continuous, noninvasive monitoring of physiological and functional metrics. While feasibility has been demonstrated in several cancer populations, their role in neuro-oncology, particularly among brain tumor patients, remains underexplored.

methodsWe conducted a comprehensive literature search of PubMed, Scopus, and IEEE Xplore from 2009 to 2024. Extracted data included device characteristics, feasibility and adherence, physiologic monitoring, functional status, treatment monitoring, quality of life, and palliative care applications.

resultsInitial search yielded 1,312 articles, out of which 28 studies were included. Wearable devices demonstrated high feasibility for tracking physical activity and sleep across breast, lung, gastrointestinal and head and neck cancers, with adherence ranging from 31% to over 90%. Actigraphy-derived sleep and circadian metrics were correlated with chemotherapy toxicity, fatigue and risk of hospitalization. Objective activity measures often revealed discordance with clinician-rated performance scores. Biometric tracking was also found to be feasible in assessing toxicity of chemotherapy and for measuring impact of educational programs focused on increasing physical activity in cancer patients. In brain tumor care, where neurologic function, cognition and fatigue are critical yet variably assessed, wearable technologies may provide early warning signs of decline or complications such as steroid effects or seizure onset.

conclusionWearable technologies offer a scalable, patient-centered means to enhance monitoring in oncology. Despite these advances, few studies address neuro-oncology specifically. The current evidence highlights potential applications for brain tumor patients.

Indexed as

BiometryBrain NeoplasmsOutcome Assessment, Health CareWearable Electronic DevicesDigital HealthHumansMonitoring, PhysiologicQuality of LifeBiometric dataBrain cancerNeuro-oncologyPersonalized oncologyWearable technology

Identifiers

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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.