Evidence map›Paper›PMID 41040700›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Ecological Assessment of Transdiagnostic Clinical Symptoms in Serious Mental Illness with Daily Smartphone Surveys.

Yoonho Chung, Bryce Gillis, Habiballah Rahimi-Eichi, Vincent Holstein, Jeffrey M Girard, Scott L Rauch, Dost Öngür, Einat Liebenthal, Justin T Baker

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Yoonho ChungDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-8005-3940
Bryce GillisInstitute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.
Habiballah Rahimi-EichiDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4575-0273
Vincent HolsteinDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Jeffrey M GirardDepartment of Psychology, University of Kansas, Lawrence, KS, USA.
Scott L RauchDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Dost ÖngürDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Einat LiebenthalDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Justin T BakerDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.

Funding

Stuart T. Hauser Research Training Program in Biological and Social Psychiatry.T32MH016259 · NIMH · JUDGE BAKER CHILDREN'S CENTER · PI Marek Kubicki, Martha E. Shenton · 1985 to 2026
$8.4M
NIMH NIH HHS T32 MH016259
6 · The paper itself

Abstract

Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments often fail to capture these daily changes. Smartphone-based ecological surveys offer a scalable approach to monitoring symptoms in naturalistic settings. We analyzed longitudinal data from 56 outpatients with psychotic or affective disorders who completed 12,984 daily surveys and 1,028 clinical assessments over one year. Machine learning models showed that smartphone surveys moderately estimated Montgomery-Åsberg Depression Rating Scale (r

Identifiers

PMID41040700
PMCPMC12485979

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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.