Comparing the Prevalence, Risk Factors, and Repercussions of Postpartum Genito-Pelvic Pain and Dyspareunia
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.
Bibliographic record
Abstract
INTRODUCTION: Childbirth is a risk factor for developing genito-pelvic pain and/or dyspareunia during the postpartum period and potentially in the longer term. These two types of pain can occur simultaneously or sequentially and could be affected by different risk factors and have a range of repercussions to women's lives, including their sexual functioning. AIM: This study reviewed the available evidence to compare and contrast the prevalence, risk factors, and repercussions of postpartum genito-pelvic pain vs dyspareunia. METHODS: All available data related to postpartum genito-pelvic pain and dyspareunia were reviewed. MAIN OUTCOME MEASURES: A description of the prevalence, risk factors, and sexual and psychological consequences of postpartum genito-pelvic pain and dyspareunia and the methodologic limitations of previous studies. RESULTS: The prevalence of postpartum genito-pelvic pain is much lower than that of postpartum dyspareunia. There is evidence of converging and differential risk factors for acute and persistent experiences of these two types of pain. Postpartum genito-pelvic pain and dyspareunia are associated with impaired sexual functioning. Rarely are these pain experiences examined together to make direct comparisons. CONCLUSION: There has been a critical lack of studies examining postpartum genito-pelvic pain and dyspareunia together and integrating biomedical and psychosocial risk factors. This approach should be spearheaded by a multidisciplinary group of researchers of diverse and relevant expertise, including obstetricians, gynecologists, anesthesiologists, and psychologists.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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