Pattern of Physical Injury Associated with Intimate Partner Violence in Women Presenting to the Emergency Department: A Systematic Review and Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To examine patterns of physical injury associated with intimate partner violence (IPV) among women presenting to emergency room departments. DATA SOURCES: Systematic searches of Medline, EMBASE, and CINAHL electronic databases from their earliest entries up to February, 2008. Reference lists from the studies included from the electronic database search were reviewed for published and unpublished studies. The authors contacted study authors regarding published and unpublished information. REVIEW METHODS: After titles and abstracts were initially screened by a single reviewer, two reviewers screened the remaining full-text articles for inclusion into the review. Studies were included if they pertained in whole or in part to women who presented to an emergency department because of IPV and reported the location or type of injuries. Studies without comparison groups of non-IPV women and case series/case reports were excluded. The authors performed a meta-analysis of the available data using the random effects model. RESULTS: The authors identified 262 potentially relevant titles and abstracts, of which 7 articles were included in the review. The association between head, neck, or facial injuries and IPV was higher among studies that excluded women with verifiable injuries such as witnessed falls or motor vehicle collisions (pooled odds ratio (OR) 24 (95% CI [15, 38]). Thoracic, abdominal, or pelvic injuries were nonspecific for IPV (pooled OR 1.07 (95% CI [0.89, 1.29]). Injuries in the upper extremities were suggestive of non-IPV etiology (pooled OR 0.51 (95% CI [0.41, 0.54]), as were lower extremity injuries (pooled OR 0.15 (95% CI [0.04, 0.56]). CONCLUSIONS: Among women presenting to emergency room departments, unwitnessed head, neck, or facial injuries are significant markers for IPV. Conversely, extremity injuries are less likely to have been the consequence of IPV.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it