Evidence map›Paper›PMID 33211262›Full record

ArticleInternational journal of bipolar disorders2020

Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders.

Ulrich W Ebner-Priemer, Esther Mühlbauer, Andreas B Neubauer, Holger Hill, Fabrice Beier, Philip S Santangelo, Philipp Ritter, Nikolaus Kleindienst, Michael Bauer, Florian Schmiedek and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of bipolar disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 6 pooled it
4.4field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 6 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Ulrich W Ebner-PriemerMental mHealth Lab, Institute of Sport and Sport Sciences, Karlsruhe Institute of Technology, Karlsruhe, Germany. ulrich.ebner-priemer@kit.edu.ORCID http://orcid.org/0000-0002-2769-5944
Esther MühlbauerDepartment of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Andreas B NeubauerDIPF - Leibniz Institute for Research and Information in Education, Frankfurt, Germany.ORCID http://orcid.org/0000-0003-0515-1126
Holger HillMental mHealth Lab, Institute of Sport and Sport Sciences, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Fabrice BeierDepartment of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Philip S SantangeloMental mHealth Lab, Institute of Sport and Sport Sciences, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID http://orcid.org/0000-0003-2733-701X
Philipp RitterDepartment of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Nikolaus KleindienstInstitute of Psychiatric and Psychosomatic Psychotherapy, Central Institute of Mental Health, Mannheim / Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Michael BauerDepartment of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Florian SchmiedekDIPF - Leibniz Institute for Research and Information in Education, Frankfurt, Germany.
Emanuel SeverusDepartment of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
University Hospital Carl Gustav Carus · DEKarlsruhe Institute of Technology · DEDIPF | Leibniz Institute for Research and Information in Education · DEGoethe University Frankfurt · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital phenotyping promises to unobtrusively obtaining a continuous and objective input of symptomatology from patients' daily lives. The prime example are bipolar disorders, as smartphone parameters directly reflect bipolar symptomatology. Empirical studies, however, have yielded inconsistent findings. We believe that three main shortcomings have to be addressed to fully leverage the potential of digital phenotyping: short assessment periods, rare outcome assessments, and an extreme fragmentation of parameters without an integrative analytical strategy.

methodsTo demonstrate how to overcome these shortcomings, we conducted frequent (biweekly) dimensional and categorical expert ratings and daily self-ratings over an extensive assessment period (12 months) in 29 patients with bipolar disorder. Digital phenotypes were monitored continuously. As an integrative analytical strategy, we used structural equation modelling to build latent psychopathological outcomes (mania, depression) and latent digital phenotype predictors (sleep, activity, communicativeness). OUTCOMES: Combining gold-standard categorical expert ratings with dimensional self and expert ratings resulted in two latent outcomes (mania and depression) with statistically meaningful factor loadings that dynamically varied over 299 days. Latent digital phenotypes of sleep and activity were associated with same-day latent manic psychopathology, suggesting that psychopathological alterations in bipolar disorders relate to domains (latent variables of sleep and activity) and not only to specific behaviors (such as the number of declined incoming calls). The identification of latent psychopathological outcomes that dimensionally vary on a daily basis will enable to empirically determine which combination of digital phenotypes at which days prior to an upcoming episode are viable as digital prodromal predictors.

Indexed as

Ambulatory assessmentBipolar disordersDigital phenotypingMobile sensingSmartphone sensing

Identifiers

PMID33211262
PMCPMC7677415
OpenAlexW3104617789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.