Evidence map›Paper›PMID 37861979›Full record

ReviewCurrent psychiatry reports2023

Digital Phenotyping in Adults with Schizophrenia: A Narrative Review.

Erlend Lane, Jessica D'Arcey, Sean Kidd, Henry Onyeaka, Noy Alon, Devayani Joshi, John Torous

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Mend the Gap: Online User-Led Adjuvant Treatment for Psychosis: A Systematic Review on Recent Findings.International journal of environmental research and public health · 2025
    Pooled it
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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

7 authors at 3 institutions in 2 countries.

Erlend LaneBeth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
Jessica D'ArceySlaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Sean KiddSlaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Henry OnyeakaInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Noy AlonBeth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
Devayani JoshiBeth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
John TorousBeth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA. jtorous@bidmc.harvard.edu.ORCID http://orcid.org/0000-0002-5362-7937
Beth Israel Deaconess Medical Center · USCentre for Addiction and Mental Health · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAs care for older adult patients with schizophrenia lacks innovation, technology can help advance the field. Specifically, digital phenotyping, the real-time monitoring of patients' behaviors through smartphone sensors and symptoms through surveys, holds promise as the method can capture the dynamicity and environmental correlates of disease. RECENT

findingsFew studies have used digital phenotyping to elucidate adult patients' experiences with schizophrenia. In this narrative review, we summarized the literature using digital phenotyping on adults with schizophrenia. No study focused solely on older adult patients. Studies including all adult patients were heterogeneous in measures used, duration, and outcomes. Despite limited research, digital phenotyping shows potential for monitoring outcomes such as negative, positive, and functional symptoms, as well as predicting relapse. Future research should work to target the symptomology persistent in chronic schizophrenia and ensure all patients have the digital literacy required to benefit from digital interventions and homogenize datasets to allow for more robust conclusions.

Indexed as

SchizophreniaAgedHumansSmartphoneAppsDigital phenotypingOlder adults, ReviewSchizophreniaSmartphones

Identifiers

PMID37861979
OpenAlexW4387799201

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.