Evidence map›Paper›PMID 33858558›Full record

ArticleBJPsych open2021

Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study.

Aurora Cobo, Alejandro Porras-Segovia, María Mercedes Pérez-Rodríguez, Antonio Artés-Rodríguez, Maria Luisa Barrigón, Philippe Courtet, Enrique Baca-García

Open access · goldAbstract read
In one paragraph

Article in BJPsych open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 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

7 authors at 6 institutions in 4 countries.

Aurora CoboDepartment of Signal Theory, Universidad Carlos III de Madrid, Spain; and Instituto de Investigación Sanitaria Gregorio Marañón, Spain.
Alejandro Porras-SegoviaInstituto de Investigación Sanitaria Fundación Jiménez Díaz, Spain; and Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Spain.ORCID https://orcid.org/0000-0003-2019-9099
María Mercedes Pérez-RodríguezIcahn School of Medicine at Mount Sinai, USA.
Antonio Artés-RodríguezDepartment of Signal Theory, Universidad Carlos III de Madrid, Spain; and Instituto de Investigación Sanitaria Gregorio Marañón, Spain.
Maria Luisa BarrigónInstituto de Investigación Sanitaria Fundación Jiménez Díaz, Spain; Universidad Autónoma de Madrid, Spain; and Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Spain.ORCID https://orcid.org/0000-0002-2497-6353
Philippe CourtetUniversity of Montpellier & INSERM u1061, France.
Enrique Baca-GarcíaInstituto de Investigación Sanitaria Fundación Jiménez Díaz, Spain; Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Spain; Universidad Autónoma de Madrid, Spain; Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Spain; Nimes University Hospital, France; CIBERSAM, Spain; Department of Psychiatry, Hospital Universitario Infanta Elena, Spain; Department of Psychiatry, Hospital Universitario Central de Villalba, Spain; and Universidad Católica del Maule, Chile.ORCID https://orcid.org/0000-0002-6963-6555
Hospital General Universitario Gregorio Marañón · ESCatholic University of the Maule · CLHospital Universitario Fundación Jiménez Díaz · ESHospital Universitario Rey Juan Carlos · ESIcahn School of Medicine at Mount Sinai · USInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) outbreak may have affected the mental health of patients at high risk of suicide. In this study we explored the wish to die and other suicide risk factors using smartphone-based ecological momentary assessment (EMA) in patients with a history of suicidal thoughts and behaviour. Contrary to our expectations we found a decrease in the wish to die during lockdown. This is consistent with previous studies showing that suicide rates decrease during periods of social emergency. Smartphone-based EMA can allow us to remotely assess patients and overcome the physical barriers imposed by lockdown.

Indexed as

COVID-19ecological momentary assessmentmachine learningSuicidesuicide attempt

Identifiers

PMID33858558
PMCPMC8060530
OpenAlexW3152933662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.