Evidence map›Paper›PMID 31738573›Full record

ArticleAccountability in research2019

The risk-benefit ratio of studying psychiatric symptoms via daily diary methods.

Caitlin Wolford-Clevenger, Mickeah J Hugley, James McNulty, Lawrence Christian Elledge, Karen Cropsey, Gregory L Stuart

Open access · greenAbstract read
In one paragraph

Article in Accountability in research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 3 institutions in 1 country.

Caitlin Wolford-ClevengerDepartment of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA.
Mickeah J HugleyDepartment of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA.
James McNultyDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Lawrence Christian ElledgeDepartment of Psychology, University of Tennessee, Knoxville, TN, USA.
Karen CropseyDepartment of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA.
Gregory L StuartDepartment of Psychology, University of Tennessee, Knoxville, TN, USA.
University of Alabama at Birmingham · USUniversity of Tennessee at Knoxville · USFlorida State University · US

Funding

Proximal Associations of Alcohol Use with Suicidal Ideation and BehaviorsF31AA024685 · NIAAA · UNIVERSITY OF TENNESSEE KNOXVILLE · PI CLEVENGER, CAITLIN W · 2016 to 2017
$88k
NIAAA NIH HHS F31 AA024685
6 · The paper itself

Abstract

Ethics committee members and researchers have deliberated about the risk-benefit ratio of researching sensitive issues such as psychiatric symptoms. Although research has suggested that inquiring about psychiatric symptoms in research generally does not cause harm, these findings have primarily arisen from cross-sectional studies. We examined whether this generalized to repeated, daily assessments of psychiatric symptoms. We collected daily survey data on psychiatric symptoms over 90 days from a sample of 206 college students. A subset of the sample (

Indexed as

Diaries as TopicAdolescentAge FactorsBiomedical ResearchCross-Sectional StudiesDepressionFemaleHumansMaleMental DisordersResearch SubjectsRisk AssessmentRisk FactorsSeverity of Illness IndexSex FactorsSocioeconomic FactorsbeneficencecomfortharmreactionsRepeated measuresresponses

Identifiers

PMID31738573
PMCPMC6913872
OpenAlexW2989049323

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.