Evidence map›Paper›PMID 37599434›Full record

ArticleJournal of interpersonal violence2024

Using Machine Learning Prediction to Create a 15-question IPV Measurement Tool.

Sneha Shashidhara, Pavan Mamidi, Shardul Vaidya, Ishank Daral

Abstract read
In one paragraph

Article in Journal of interpersonal violence, 2024. 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
–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, 2 syntheses or guidelines pooled it.

  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

4 authors.

Sneha ShashidharaAshoka University, New Delhi, India.ORCID 0000-0002-7469-0919
Pavan MamidiAshoka University, New Delhi, India.
Shardul VaidyaAshoka University, New Delhi, India.
Ishank DaralAshoka University, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestic violence, especially intimate partner violence (IPV), is an important issue worldwide, especially in India. Those that experience it may not always be able to come forward or have access to the required social support to act against it. We use National Family Health Survey data (

Indexed as

Domestic ViolenceIntimate Partner ViolenceFemaleHealth PersonnelHumansIndiaRisk FactorsSocial Supportdomestic violenceperceptions of domestic violencepredicting domestic violence

Identifiers

PMID37599434
PMCPMC10760940

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.