Evidence map›Paper›PMID 35436704›Full record

ArticleJournal of psychiatric research2022

Self-reporting of psychiatric illness in an online patient registry is a good indicator of the existence of psychiatric illness.

Luis Sordo Vieira, Binh Nguyen, Sara K Nutley, Lyvia Bertolace, Ashley Ordway, Heather Simpson, Jessica Zakrzewski, Marie E Jean Gilles, Rachel Nosheny, Michael Weiner and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of psychiatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.6field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Navigating the dual burden of type 1 diabetes and mental illness: A phenomenological study.Diabetic medicine : a journal of the British Diabetic Association · 2026
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  12. Optimization of self- or parent-reported psychiatric phenotypes in longitudinal studies.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Relationship of Hoarding and Depression Symptoms in Older Adults.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Article
  18. Article
  19. Assessing the validity of a self-reported clinical diagnosis of schizophrenia.medRxiv : the preprint server for health sciences · 2023
    Article
  20. Brain health registry updates: An online longitudinal neuroscience platform.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
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

12 authors at 3 institutions in 1 country.

Luis Sordo VieiraDepartment of Medicine, University of Florida, Gainesville, FL, United States; Department of Psychiatry, University of Florida, Gainesville, FL, United States.
Binh NguyenDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Sara K NutleyDepartment of Epidemiology, University of Florida, Gainesville, FL, United States.
Lyvia BertolaceDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Ashley OrdwayDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Heather SimpsonDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Jessica ZakrzewskiDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Marie E Jean GillesDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Rachel NoshenyDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
Michael WeinerSan Francisco VA Medical Center, San Francisco, CA, United States; Department of Radiology, University of California, San Francisco, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
R Scott MackinSan Francisco VA Medical Center, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
Carol A MathewsDepartment of Psychiatry, University of Florida, Gainesville, FL, United States. Electronic address: carolmathews@ufl.edu.
University of Florida · USSan Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

Predicting populations at-risk of developing pathological hoardingR01MH117114 · NIMH · UNIVERSITY OF FLORIDA · PI MACKIN, ROBERT SCOTT, MATHEWS, CAROL A · 2018 to 2022
$3.7M
The Brain Health Registry for facilitating interdisciplinary aging researchR33AG062867 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOSHENY, RACHEL LAUREN · 2020 to 2024
$3.2M
NIA NIH HHS R33 AG062867NIMH NIH HHS R01 MH117114
6 · The paper itself

Abstract

Online registries offer many advantages for research, including the ability to efficiently assess large numbers of individuals and identify potential participants for clinical trials and genetic studies. Of particular interest is the validity and utility of self-endorsement of psychiatric disorders in online registries, which, while increasingly more common, remain understudied. We thus assessed the comparability of prevalence estimated from self-endorsement of psychiatric disorders in one such registry, the Brain Health Registry (BHR) to prevalence computed from large US-based epidemiological studies and the degree to which BHR participants report psychiatric disorders consistently. We also examined the concordance between self-report and clinically determined diagnoses of various DSM-5 psychiatric disorders in a subset of participants who underwent direct assessments and identified possible reasons for discordance. Rates of self-reported psychiatric disorders were closest to previously reported population prevalence rates when endorsed at multiple timepoints, and accuracy was at least 70% for all except Hoarding Disorder as compared to the clinical diagnoses. Clinical data suggested that self-endorsement of a given psychiatric diagnosis was indicative of the presence of a closely related condition, although not necessarily for the specific disorder, with the exception of major depressive disorder, panic disorder, and hoarding disorder, which had high positive predictive values (85%, 73%, 100%, respectively). We conclude that self-reporting of psychiatric conditions in an online setting is a fair indicator of psychopathology, but should be accompanied by more in-depth interviews if using data from a participant for a specific disorder.

Indexed as

Major Depressive DisorderMental DisordersComorbidityDiagnostic and Statistical Manual of Mental DisordersHumansRegistries

Identifiers

PMID35436704
PMCPMC10024540
OpenAlexW4223920563

What OpenQuestion holds

Textmetadata
LicenceTDM
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.