Association between cardiovascular disease and risk of female sexual dysfunction: a systematic review and meta-analysis
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
AIMS: Female sexual dysfunction (FSD) is a considerably underestimated condition. It has been repeatedly reported that patients with cardiovascular diseases (CVD) may suffer from an increased risk of FSD. However, there is still a lack of comprehensive and systematic evaluation of various CVD and FSD. We aimed to elucidate the association between CVD and FSD through a comprehensive literature review and meta-analysis. METHODS AND RESULTS: The PubMed, Scopus, Embase, and Cochrane Library databases were systematically searched from inception to 28 February 2023. We identified all relevant studies reporting the risk of FSD in subjects with or without CVD. The associations between CVD and the risk of FSD were assessed by calculating pooled odds ratios (ORs) (cross-sectional studies) and risk ratios (RRs) (longitudinal studies) with 95% CIs. We employed random-effects models to account for potential heterogeneity, and the quality of the included studies was assessed using the Newcastle-Ottawa Scale. Fifty-four articles with 148 946 individuals were included in our meta-analysis. Compared with control subjects, subjects with CVD had a 1.51-fold increased risk of FSD (OR 1.51 95% CI, 1.34-1.69, P < 0.001, heterogeneity I2 = 91.4%, P < 0.001). Subgroup analyses indicated that the association between CVD and FSD remained significant in longitudinal studies (RR 1.50 95% CI, 1.21-1.86, P < 0.001, heterogeneity I2 = 86.7%, P < 0.001). Particularly, hypertension (OR 1.41 95% CI, 1.23-1.62, P < 0.001, heterogeneity I2 = 82.7%, P < 0.001), stroke (OR 1.81 95% CI, 1.54-2.12, P < 0.001, heterogeneity I2 = 0%, P < 0.423), and myocardial infarction (OR 2.07 95% CI, 1.60-2.67, P < 0.001 heterogeneity I2 = 82.4%, P < 0.001) were significantly associated with FSD. Meta-regression revealed that the primary sources of heterogeneity in FSD are attributable to adjustments for covariates, study design, and study population. CONCLUSION: Our meta-analysis indicated that patients with CVD suffer from a greater risk of developing FSD. Meanwhile, we validated these findings in longitudinal queues. Notably, conditions such as hypertension, stroke, and myocardial infarction demonstrated a significant association with the incidence of FSD.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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