Evidence map›Paper›PMID 28435184›Full record

ArticleJournal of family violence2017

Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects.

Gunnur Karakurt, Vishal Patel, Kathleen Whiting, Mehmet Koyutürk

Abstract read
In one paragraph

Article in Journal of family violence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 pooled it
3.6field-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

34 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A Meta-Analysis and Systematic Review of Community-Based Intimate Partner Violence Interventions in India.International journal of environmental research and public health · 2023
    Pooled it
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  6. Review
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  14. The Impacts of Lifetime Violence on Women's Current Sexual Health.Women's health reports (New Rochelle, N.Y.) · 2024
    Article
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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

4 authors at 1 institution in 1 country.

Gunnur KarakurtDepartment of Psychiatry, Case Western Reserve University.
Vishal PatelCenter for Proteomics and Bioinformatics, Case Western Reserve University.
Kathleen WhitingDepartment of Psychiatry, Case Western Reserve University.
Mehmet KoyutürkDepartment of Electrical Engineering and Computer Science, Case Western Reserve University.
Case Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
NCATS NIH HHS KL2 TR000440
6 · The paper itself

Abstract

Intimate partner violence (IPV) often culminates in acute physical injury, sexual assault, and mental health issues. It is crucial to understand the healthcare habits of victims to develop interventions that can drastically improve a victim's quality of life and prevent future abuse. The objective of this study is to mine de-identified and aggregated Electronic Health Record data to identify women's health issues that are potentially associated with IPV. In this study we compared health issues of female domestic abuse victims to female non-domestic abuse victims. The Domestic abuse population contained 5870 patients, while the Non-Domestic Abuse population contained 14,315,140 patients. Explorys provides National Big Data from the entire USA. Statistical analysis identified 2429 terms as significantly more prevalent among victims of domestic abuse, compared to the general population. These terms were classified into broad categories, including acute injury, chronic conditions, substance abuse, mental health, disorders, gynecological and pregnancy related problems.

Indexed as

big data miningdomestic violenceepidemiologyhealth consequencesintimate partner violence

Identifiers

PMID28435184
PMCPMC5397110
OpenAlexW2521897671

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.