Evidence map›Paper›PMID 39865181›Full record

ArticleInternational journal of legal medicine2025

Strategies to overcome barriers to the statistical representation of femicide data-a technical note.

Reena Sarkar, Richard Bassed, Joan Ozanne-Smith

Abstract read
In one paragraph

Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Reena SarkarDepartment of Forensic Medicine, Monash University, Victoria, Australia. reena.sarkar1@monash.edu.ORCID http://orcid.org/0000-0002-7697-5782
Richard BassedDepartment of Forensic Medicine, Monash University, Victoria, Australia.ORCID http://orcid.org/0000-0001-5473-055X
Joan Ozanne-SmithDepartment of Forensic Medicine, Monash University, Victoria, Australia.ORCID http://orcid.org/0000-0002-2176-4398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality data systems are upstream determinants of health, providing critical information on causes of death and population health trends and influencing health outcomes by shaping policies, research, and resource allocation. Moreover, the gender-related deaths of women and girls are significantly underrepresented or underrecognized in mortality data across many countries. This paper seeks to identify potential barriers and facilitators to improving the representation of femicide data. The primary barriers affecting data representation of femicide are related to definitions, data collection, coding, comparability, access, and systemic challenges. Key recommendations include establishing a nationwide consensus on the definition of femicide, updating training modules for medicolegal professionals, improving pathology reporting processes, ensuring quality assurance in documentation, refining coding practices, developing new analytic methods, and providing deidentified access to cases still under investigation.

Indexed as

HomicideCause of DeathData CollectionFemaleHumansMaleData systemFemicideGender motiveStatistical representation

Identifiers

PMID39865181
PMCPMC12003474

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.