Evidence map›Paper›PMID 35465415›Full record

ArticleAffective science2021

Do Patterns and Types of Negative Affect During Hospitalization Predict Short-Term Post-Discharge Suicidal Thoughts and Behaviors?

Kate H Bentley, Daniel L Coppersmith, Evan M Kleiman, Erik C Nook, Patrick Mair, Alexander J Millner, Azure Reid-Russell, Shirley B Wang, Rebecca G Fortgang, Michelle B Stein and 3 more

Open access · greenAbstract read
In one paragraph

Article in Affective science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Kate H BentleyMassachusetts General Hospital/Harvard Medical School.
Daniel L CoppersmithHarvard University, Department of Psychology.
Evan M KleimanHarvard University, Department of Psychology.
Erik C NookHarvard University, Department of Psychology.
Patrick MairHarvard University, Department of Psychology.
Alexander J MillnerHarvard University, Department of Psychology.
Azure Reid-RussellHarvard University, Department of Psychology.
Shirley B WangHarvard University, Department of Psychology.
Rebecca G FortgangHarvard University, Department of Psychology.
Michelle B SteinMassachusetts General Hospital/Harvard Medical School.
Stuart BeckMassachusetts General Hospital/Harvard Medical School.
Jeff C HuffmanMassachusetts General Hospital/Harvard Medical School.
Matthew K NockHarvard University, Department of Psychology.
Harvard University · USFranciscan Hospital for Children · USMassachusetts General Hospital · US

Funding

Digital Monitoring of Agitation for Short-Term Suicide Risk PredictionK23MH120436 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BENTLEY, KATE H. · 2019 to 2024
$1.0M
Mathematical and computational modeling of suicidal thoughts and behaviorsF31MH125495 · NIMH · HARVARD UNIVERSITY · PI WANG, SHIRLEY B · 2021 to 2022
$70k
NIMH NIH HHS F31 MH125495NIMH NIH HHS K23 MH120436
6 · The paper itself

Abstract

We still have little understanding of short-term predictors of suicidal thoughts and behaviors (STBs). Prior research links increased negative affect to STBs, but the vast majority of earlier work is limited by measuring negative affect at one time point and aiming to predict STBs months or years in the future. Recently, intensive longitudinal studies have shown that negative affect is associated with suicidal thoughts over relatively short, clinically useful time periods; however, the specific patterns and types of negative affect that predict STBs remain unclear. Using ecological momentary assessment (EMA) data from psychiatric inpatients hospitalized for suicide risk (

Indexed as

EMAnegative affectsuicidal thoughts and behaviorssuicide

Identifiers

PMID35465415
PMCPMC9022604
OpenAlexW3202322347

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.