Evidence map›Paper›PMID 34820686›Full record

ArticleSocial psychiatry and psychiatric epidemiology2023

Psychiatric comorbidity in the Baltimore ECA follow-up study: the matrix approach.

Ruben Miozzo, William Eaton, O Joseph Bienvenu, Jack Samuels, Gerald Nestadt

Open access · greenAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Ruben MiozzoDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 624 North Broadway, Baltimore, MD, 21205, USA. rmiozzo1@jhmi.edu.ORCID http://orcid.org/0000-0002-8005-7730
William EatonDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 624 North Broadway, Baltimore, MD, 21205, USA.
O Joseph BienvenuDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 624 North Broadway, Baltimore, MD, 21205, USA.
Jack SamuelsDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 624 North Broadway, Baltimore, MD, 21205, USA.
Gerald NestadtDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 624 North Broadway, Baltimore, MD, 21205, USA.
Johns Hopkins University · US

Funding

Stress Mental Disorders Accelerated Aging and Dementia a 35 year Cohort Study - Covid SupplementU01AG052445 · NIA · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W, SPIRA, ADAM PETER · 2016 to 2021
$5.7M
EPIDEMIOLOGY OF PERSONALITY DISORDERSR01MH050616 · NIMH · JOHNS HOPKINS UNIVERSITY · PI NESTADT, GERALD · 1996 to 2008
$1.2M
NIA NIH HHS U01 AG052445NIA NIH HHS U01AG052445NIMH NIH HHS MH50616NIMH NIH HHS R01 MH050616
6 · The paper itself

Abstract

backgroundPsychiatric comorbidity is defined as the joint occurrence of two or more mental or substance use disorders. Widespread psychiatric comorbidity has been reported in treatment and population-based studies. The aim of this study was to measure the extent and impact of psychiatric comorbidity in a cohort of the Baltimore Epidemiologic Catchment Area study.

methodsWe examined the comorbidity burden of 16 mental disorders in a cohort of 847 participants using both established and novel analytical approaches The Comorbidity to Diagnosis Inflation Ratio (CDIR), is a statistical instrument that quantifies impact of pairwise comorbid associations, both on the whole sample, as well as on each specific disorder.

resultsMost anxiety disorders had substantial co-occurrence with each other, as well as with Major Depressive Disorder (MDD). In addition, mood disorders had a high degree of comorbidity with Alcohol Dependence (AD). The CDIR for the whole sample was 1.32, indicating a ratio of 132 comorbidities per 100 diagnoses. The conditions with high sample prevalence were relatively less comorbid than the low prevalence conditions. Obsessive Compulsive Disorder had a comorbidity burden that was 89% greater than the overall sample.

conclusionAnxiety disorders are highly interrelated, as well as highly comorbid with depression. The comorbidity phenomenon is linked to the differential prevalence of the analyzed conditions. Comorbidity frequency (most prevalent comorbid condition) appears mutually exclusive to comorbidity burden (most widely interrelated condition). While AD and MDD were the most frequently diagnosed disorders; low prevalence conditions as OCD and GAD were the most widely interrelated.

Indexed as

AlcoholismMajor Depressive DisorderAnxiety DisordersBaltimoreComorbidityFollow-Up StudiesHumansPrevalenceMeasurementPsychiatric comorbidity

Identifiers

PMID34820686
PMCPMC11100458
OpenAlexW3216233890

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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.