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Record W4387387968 · doi:10.1016/j.eclinm.2023.102266

Anogenital injury following sexual assault and consensual sexual intercourse: a systematic review and meta-analysis

2023· review· en· W4387387968 on OpenAlex
David N Naumann, Louise Morris, Douglas M. Bowley, Tracy-Louise Appleyard, Julie Cumming, Deborah Wardle

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEClinicalMedicine · 2023
Typereview
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
FundersUniversity of Birmingham
KeywordsMedicineConvictionMeta-analysisSexual intercourseSexual assaultPoison controlSex offensePublication biasSexual violenceReporting biasCriminal justiceInjury preventionPsychiatryDemographyMEDLINESexual abuseCriminologyMedical emergencyPsychologyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Sexual violence is a grave human rights violation and a serious global public health challenge. Rates of reporting of sexual violence and subsequent passage of cases through the criminal justice system are poor all over the world. The presence or absence of anogenital injury following sexual assault may influence survivors in their willingness to report a crime, and law enforcement officers and jurors in their decision making regarding the laying of charges and/or conviction of offenders. The aim of this systematic review was to compare rates of identification of anogenital injury (AGI) in women following sexual assault and consensual sexual intercourse using the same examination techniques. In this systematic review and meta-analysis, Medline, Embase and Google Scholar were searched for relevant studies (in any language, with no age or sex criteria) published between February 25, 1993, and February 25, 2023, that directly compared AGI between individuals after either sexual assault or consensual sexual intercourse. Abstracts, conference proceedings, and case reports were excluded. The primary outcome of interest was any form of detected AGI. The Mantel-Haenszel method was used for meta-analysis using random effects modelling to determine the risk ratio (RR) of AGI between sexual assault and consensual sexual intercourse. Quality assessment was undertaken using the Newcastle–Ottawa scale tool. The I 2 statistic was used to determine heterogeneity among studies. An I 2 >75% was considered high heterogeneity. Funnel plots were used to assess the risk of publication bias, by determining any visually apparent asymmetry. This analysis is registered with PROSPERO, CRD42023402468. We included 10 studies, accounting for 3165 study participants. All participants were female. AGI was detected in 901 (48%) of 1874 participants following sexual assault and 394 (31%) of 1291 participants following consensual sexual intercourse. Meta-analysis of all included studies demonstrated that the presence of AGI was significantly more likely for participants following sexual assault than consensual sexual intercourse (RR 1.59 (95% CI 1.21, 2.09); p < 0.001). There was a significant heterogeneity among studies and funnel plots suggest that this RR may be an over-estimation. Subgroup analysis including only high-quality studies showed no significant difference between groups. Although AGI was significantly more likely to be detected after sexual assault than consensual sexual intercourse, more than half of survivors of sexual assault have no detectable injuries. The presence of AGI, therefore, does not prove there has been sexual violence and absence of injury does not refute that sexual assault has occurred. The University of Birmingham .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.297
GPT teacher head0.519
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it