Evidence map›Paper›PMID 39045519›Full record

ArticleBrain, behavior, & immunity - health2024

Estimating survival in data-driven phenotypes of mental health symptoms and peripheral biomarkers: A prospective study.

Santiago Allende, Peter J Bayley

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2024. 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

2 authors.

Santiago AllendeWar Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA, USA.
Peter J BayleyWar Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic psychological stress has widespread implications, including heightened mortality risk, mental and physical health conditions, and socioeconomic consequences. Stratified precision psychiatry shows promise in mitigating these effects by leveraging clinical heterogeneity to personalize interventions. However, little attention has been given to patient self-report. Methods: We addressed this by combining stress-related self-report measures with peripheral biomarkers in a latent profile analysis and survival model. The latent profile models were estimated in a representative U.S. cohort ( Results: We identified three distinct groups: "Good Mental Health", "Poor Mental Health", and "High Inflammation". Compared to the "Good Mental Health" group, the "High Inflammation" and "Poor Mental Health" groups had an increased risk of mortality, but did not differ in mortality risk from each other. Conclusions: This study emphasizes the role of patient self-report in stratified psychiatry.

Indexed as

InflammationLatent profile analysisMental healthPsychosocial stressSurvival

Identifiers

PMID39045519
PMCPMC11263790

What OpenQuestion holds

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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.