Evidence map›Paper›PMID 37427550›Full record

ArticlePsychological medicine2023

Predictors of diagnostic conversion from major depression to bipolar disorder: a Swedish national longitudinal study.

Sang Jin Rhee, Henrik Ohlsson, Jan Sundquist, Kristina Sundquist, Kenneth S Kendler

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. Review
  7. Mortality in patients with major depressive disorder: A nationwide population-based cohort study with 11-year follow-up.European psychiatry : the journal of the Association of European Psychiatrists · 2024
    Article
  8. Review
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 3 institutions in 3 countries.

Sang Jin RheeBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Henrik OhlssonCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8689-6570
Lund University · SESeoul National University Hospital · KRVirginia Commonwealth University · US

Funding

Identifying the genetic causes of depression in a deeply phenotyped population from South KoreaU01MH126798 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AHN, YONG MIN, FLINT, JONATHAN · 2021 to 2025
$8.9M
NIMH NIH HHS U01 MH126798
6 · The paper itself

Abstract

backgroundIt is clinically important to predict the conversion of major depression (MD) to bipolar disorder (BD). Therefore, we sought to identify related conversion rates and risk factors.

methodsThis cohort study included the Swedish population born from 1941 onward. Data were collected from Swedish population-based registers. Potential risk factors, including family genetic risk scores (FGRS), which were calculated based on the phenotypes of relatives in the extended family and not molecular data, and demographic/clinical characteristics from these registers were retrieved. Those with first MD registrations from 2006 were followed up until 2018. The conversion rate to BD and related risk factors were analyzed using Cox proportional hazards models. Additional analyses were performed for late converters and with stratification by sex.

resultsThe cumulative incidence of conversion was 5.84% [95% confidence interval (95% CI) 5.72-5.96] for 13 years. In the multivariable analysis, the strongest risk factors for conversion were high FGRS of BD [hazard ratio (HR) = 2.73, 95% CI 2.43-3.08], inpatient treatment settings (HR = 2.64, 95% CI 2.44-2.84), and psychotic depression (HR = 2.58, 95% CI 2.14-3.11). For late converters, the first registration of MD during the teenage years was a stronger risk factor when compared with the baseline model. When the interactions between risk factors and sex were significant, stratification by sex revealed that they were more predictive in females.

conclusionsFamily history of BD, inpatient treatment, and psychotic symptoms were the strongest predictors of conversion from MD to BD.

Indexed as

Bipolar DisorderMajor Depressive DisorderAdolescentCohort StudiesDepressionFemaleHumansLongitudinal StudiesRisk FactorsSwedenBipolar disorderconversionfamily genetic risk scoresmajor depression

Identifiers

PMID37427550
PMCPMC10755232
OpenAlexW4383710229

What OpenQuestion holds

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LicenceCC BY
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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.