Evidence map›Paper›PMID 36888574›Full record

ArticlePloS one2023

Adverse health correlates of intimate partner violence against older women: Mining electronic health records.

Serhan Yılmaz, Erkan Gunay, Da Hee Lee, Kathleen Whiting, Kristin Silver, Mehmet Koyuturk, Gunnur Karakurt

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

7 authors.

Serhan YılmazDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Erkan GunayEmergency Department, Şişli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey.
Da Hee LeeOsteopathic Medicine and Public Health, Des Moines University, Des Moines, IA, United States of America.
Kathleen WhitingNeuroscience Program, Uniformed Services University, Washington, DC, United States of America.
Kristin SilverBehavioral Health, Center of Outpatient Education, VA Northeast Ohio Healthcare System, Cleveland, OH, United States of America.
Mehmet KoyuturkDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Gunnur KarakurtDepartment of Psychiatry, Case Western Reserve University, Cleveland, OH, United States of America.ORCID 0000-0003-1983-4518

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) is often studied as a problem that predominantly affects younger women. However, studies show that older women are also frequently victims of abuse even though the physical effects of abuse are harder to detect. In this study, we mined the electronic health records (EHR) available through IBM Explorys to identify health correlates of IPV that are specific to older women. Our analyses suggested that diagnostic terms that are co-morbid with IPV in older women are dominated by substance abuse and associated toxicities. When we considered differential co-morbidity, i.e., terms that are significantly more associated with IPV in older women compared to younger women, we identified terms spanning mental health issues, musculoskeletal issues, neoplasms, and disorders of various organ systems including skin, ears, nose and throat. Our findings provide pointers for further investigation in understanding the health effects of IPV among older women, as well as potential markers that can be used for screening IPV.

Indexed as

Intimate Partner ViolenceSubstance-Related DisordersAgedComorbidityElectronic Health RecordsFemaleHumansPrevalenceRisk Factors

Identifiers

PMID36888574
PMCPMC9994723

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.