Evidence map›Paper›PMID 38365011›Full record

ArticleBrain, behavior, and immunity2024

Toward a dynamic immunopsychiatry.

Daniel P Moriarity, George M Slavich

Abstract readLetter
In one paragraph

Article in Brain, behavior, and immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Daniel P MoriarityDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA. Electronic address: dmoriarity@mednet.ucla.edu.
George M SlavichDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.

Funding

Testing a Social Safety Theory Perspective on Depression: An Intensive Longitudinal Immunopsychiatric Data ApproachF32MH130149 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORIARITY, DANIEL P · 2022 to 2024
$210k
NIMH NIH HHS F32 MH130149
6 · The paper itself

Abstract

In this article, we briefly clarify several points regarding immunopsychiatry. In particular, we argue that higher density data and a greater focus on temporal dynamics are both important, and that studies incorporating these features have the potential to greatly advance the field. We also respond to recent comments made on our original article on this topic (Moriarity and Slavich, 2023), including the contention that our perspective on immunopsychiatry is reductionistic. To the contrary, we believe that strong immunopsychiatry studies are highly integrative and include data from multiple major levels of analysis to form a more complete picture of how processes that are relevant for mental health and behavior emerge and dynamically change over time in relation to one another.

Indexed as

Mental HealthPsychoneuroimmunologyDynamic modelingIdiographyImmunopsychiatryIntensive longitudinal dataPsychoneuroimmunology

Identifiers

PMID38365011
PMCPMC11225623

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.