Evidence map›Paper›PMID 34855821›Full record

ArticlePloS one2021

Prediction of suicidal ideation risk in a prospective cohort study of medical interns.

Tyler L Malone, Zhou Zhao, Tzu-Ying Liu, Peter X K Song, Srijan Sen, Laura J Scott

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  4. Medical Error: Using Storytelling and Reflection to Impact Resident Error Response Factors.MedEdPORTAL : the journal of teaching and learning resources · 2024
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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

6 authors at 1 institution in 1 country.

Tyler L MaloneDepartment of Biostatistics School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-8076-0581
Zhou ZhaoMichigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0001-9339-1896
Tzu-Ying LiuDepartment of Biostatistics School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
Peter X K SongDepartment of Biostatistics School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
Srijan SenMichigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan, United States of America.
Laura J ScottDepartment of Biostatistics School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-4886-5084
University of Michigan · US

Funding

Mobile Technology to Identify Behavorial Mechanisms Linking Genetic Variation and DepressionR01MH101459 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2013 to 2023
$6.4M
NIMH NIH HHS R01 MH101459
6 · The paper itself

Abstract

The purpose of this study was to identify individual and residency program factors associated with increased suicide risk, as measured by suicidal ideation. We utilized a prospective, longitudinal cohort study design to assess the prevalence and predictors of suicidal ideation in 6,691 (2012-2014 cohorts, training data set) and 4,904 (2015 cohort, test data set) first-year training physicians (interns) at hospital systems across the United States. We assessed suicidal ideation two months before internship and then quarterly through intern year. The prevalence of reported suicidal ideation in the study population increased from 3.0% at baseline to a mean of 6.9% during internship. 16.4% of interns reported suicidal ideation at least once during their internship. In the training dataset, a series of baseline demographic (male gender) and psychological factors (high neuroticism, depressive symptoms and suicidal ideation) were associated with increased risk of suicidal ideation during internship. Further, prior quarter psychiatric symptoms (depressive symptoms and suicidal ideation) and concurrent work-related factors (increase in self-reported work hours and medical errors) were associated with increased risk of suicidal ideation. A model derived from the training dataset had a predicted area under the Receiver Operating Characteristic curve (AUC) of 0.83 in the test dataset. The suicidal ideation risk predictors analyzed in this study can help programs and interns identify those at risk for suicidal ideation before the onset of training. Further, increases in self-reported work hours and environments associated with increased medical errors are potentially modifiable factors for residency programs to target to reduce suicide risk.

Indexed as

Internship and ResidencySuicidal IdeationAdultDepressionFemaleHumansLongitudinal StudiesMalePrevalenceProspective StudiesRisk FactorsUnited States

Identifiers

PMID34855821
PMCPMC8639060
OpenAlexW3215699191

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.