Evidence map›Paper›PMID 39796767›Full record

ArticleCancers2025

A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies.

Francesca Siddi, Patrick Emedom-Nnamdi, Michael P Catalino, Aakanksha Rana, Alessandro Boaro, Hassan Y Dawood, Francesco Sala, Jukka-Pekka Onnela, Timothy R Smith

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Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Francesca SiddiComputational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Patrick Emedom-NnamdiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Michael P CatalinoDepartment of Neurosurgery, University of Virginia, Charlottesville, VA 22908, USA.
Aakanksha RanaComputational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-8350-7602
Alessandro BoaroComputational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-0856-1019
Hassan Y DawoodComputational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-2190-5146
Francesco SalaSection of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Timothy R SmithComputational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe digital phenotyping tool has great potential for the deep characterization of neurological and quality-of-life assessments in brain tumor patients. Phone communication activities (details on call and text use) can provide insight into the patients' sociability.

methodsWe prospectively collected digital-phenotyping data from six brain tumor patients. The data were collected using the Beiwe application installed on their personal smartphones. We constructed several daily sociability features from phone communication logs, including the number of incoming and outgoing text messages and calls, the length of messages and duration of calls, message reciprocity, the number of communication partners, and number of missed calls. We compared variability in these sociability features against those obtained from a control group, matched for age and sex, selected among patients with a herniated disc.

resultsIn brain tumor patients, phone-based communication appears to deteriorate with time, as evident in the trend for total outgoing minutes, total outgoing calls, and call out-degree.

conclusionsThese measures indicate a possible decrease in sociability over time in brain tumor patients that may correlate with survival. This exploratory analysis suggests that a quantifiable digital sociability phenotype exists and is comparable for patients with different survival outcomes. Overall, assessing neurocognitive function using digital phenotyping appears promising.

Indexed as

digital phenotypinginnovationmobile health (mHealth)neurocognitive domainneuro-oncologysmartphone

Identifiers

PMID39796767
PMCPMC11719951

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