Evidence map›Paper›PMID 41924933›Full record

ArticleActa psychiatrica Scandinavica2026

Trajectories of Suicidal Risk Impact Mood Regulation Differently in Patients With a Diagnosis of Bipolar Disorder.

Abigail Ortiz, Ramzi Halabi, Daniel Blumberger, Christina Gonzalez-Torres, Arend Hintze, Muhammad I Husain, Mirkamal Tolend, Juveria Zaheer, Martin Alda, Benoit H Mulsant

Abstract read
In one paragraph

Article in Acta psychiatrica Scandinavica, 2026. 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

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

10 authors.

Abigail OrtizDepartment of Psychiatry, Faculty of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-6886-767X
Ramzi HalabiDepartment of Psychiatry, Faculty of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Daniel BlumbergerDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Christina Gonzalez-TorresDepartment of Psychiatry, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada.ORCID https://orcid.org/0000-0002-3003-2033
Arend HintzeDepartment of MicroData Analytics, Dalarna University, Falun, Sweden.
Muhammad I HusainDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mirkamal TolendCentre for Addiction and Mental Health (CAMH), Campbell Family Research Institute, Toronto, Ontario, Canada.
Juveria ZaheerDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Martin AldaNational Institute of Mental Health, Klecany, Czech Republic.
Benoit H MulsantDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-0303-6450

Funding

American Foundation for Suicide Prevention YIG-0-100-21University of Toronto
6 · The paper itself

Abstract

backgroundBipolar disorder (BD) carries a suicide risk 20 times higher than the general population, with up to 60% of patients attempting suicide. Current interventions have failed to reduce its incidence; static factors have shown limited predictive utility. Emerging evidence suggests dynamic monitoring approaches may offer complementary value. This study examined whether quantifiable differences in mood regulation patterns exist across the suicidality continuum among patients diagnosed with BD.

methodWe analyzed daily self-reported mood, anxiety, and energy levels from 164 participants recruited from two Canadian academic hospitals (April 2021-August 2024). Participants were stratified into six groups based on suicide attempt history, current polarity, and active suicidality status. Using time-series analysis, we computed autocorrelation and cross-correlation functions to examine temporal relationships within and between variables across 1-7 day lags. Data comprised 64,351 valid observations over 461.5 ± 236.6 days of follow-up.

resultsParticipants with the highest suicide risk (previous attempt, in a current depressive episode with active suicidality) demonstrated significantly higher day-to-day autocorrelation compared to the lowest-risk participants (no prior attempts and currently euthymic) for mood (0.53 vs. 0.29, p = 0.01), energy (0.52 vs. 0.23, p = 0.02), and anxiety series (0.55 vs. 0.32, p = 0.04). Cross-correlation analysis revealed mood-energy decoupling during active suicidality; as well as a stronger negative mood-anxiety correlation in those with a prior attempt, even during euthymia.

conclusionHigher autocorrelation patterns are indicative of a pathologically stable mood regulation in high-risk individuals, potentially serving as dynamic biomarkers for suicide risk stratification and targeted intervention development. Our findings demonstrate that a more aggressive approach to treating comorbid anxiety may be essential for reducing the risk of future attempts. They also challenge traditional conceptualizations equating euthymia with the absence of suicide risk, suggesting neurobiological vulnerability despite symptomatic remission.

Indexed as

AffectBipolar DisorderSuicidal IdeationSuicide, AttemptedAdultAnxietyCanadaFemaleHumansMaleMiddle Agedbipolar disordermood regulationsuicidal behaviortime‐series analysis

Identifiers

PMID41924933
PMCPMC13242970

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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.