Evidence map›Paper›PMID 37351795›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2023

Comprehensive Analysis of Electronic Health Records to Characterize The Association Between Intimate Partner Violence and Mental Health.

Günnur Karakurt, Serhan Yılmaz, Meera Kumari, Keming Gao, Mehmet Koyutürk

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Günnur KarakurtDepartment of Psychiatry, Case Western Reserve University, Cleveland, OH.
Serhan YılmazDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH.
Meera KumariDepartment of Psychiatry, Case Western Reserve University, Cleveland, OH.
Keming GaoDepartment of Psychiatry, Case Western Reserve University, Cleveland, OH.
Mehmet KoyutürkDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH.

Funding

Decision-Making Modeling for Treating Intimate Partner ViolenceR01LM012518 · NLM · CASE WESTERN RESERVE UNIVERSITY · PI KARAKURT KOYUTURK, GUNNUR · 2018 to 2022
$1.3M
NLM NIH HHS R01 LM012518
6 · The paper itself

Abstract

Intimate partner violence (IPV) involves physical, emotional, and sexual harm to the survivor. To characterize the relationship between mental health and IPV, we utilized electronic health records (EHR) data from IBM Explorys. Focusing on 15 mental health conditions and IPV, we queried cohorts of patients with these conditions to discover additional medical terms, including symptoms, findings, and diagnoses that are prevalent in these cohorts. We then systematically assessed the (i) direct association (co-occurrence, i.e., relative prevalence of a medical term in a cohort compared to the background population) and (ii) indirect association (the similarity between co-occurrence profiles) between all pairs of these mental health conditions. Our results showed that direct and indirect measures of association provide complementary insights into the relationship between pairs of conditions. Using this framework, we discovered several patterns of association among 16 different mental health related conditions.

Identifiers

PMID37351795
PMCPMC10283134

What OpenQuestion holds

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Registered trials

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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.