The sexual dysfunction in women with thyroid disorders: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: Thyroid disorders are common endocrine conditions impacting multiple organs, including the reproductive system and often lead to sexual dysfunction. These effects can vary by gender; for example, women with hypothyroidism frequently experience reduced libido. Low thyroid hormone levels are also linked to vaginal dryness, causing discomfort, especially during intercourse. This study aims to assess the global prevalence of sexual dysfunction in women with thyroid disorders. METHODS: Systematic searches were performed across electronic databases, including PubMed, Scopus, Web of Science, Embase, ScienceDirect and Google Scholar, to retrieve studies reporting the prevalence of sexual dysfunction in patients with thyroid disorders up to February 8, 2024. Inclusion criteria comprised studies that reported on the prevalence of female sexual dysfunction (FSD) in patients with thyroid disorders and studies published in English available full text. Exclusion criteria included case studies, intervention studies, studies with incomplete information, repeated studies and those not written in English. Cross-sectional studies were the primary study design included. Data were analyzed using the Comprehensive Meta-Analysis software (Version 2). RESULTS: Analysis of nine studies, involving a total sample size of 1013, found an overall prevalence of sexual dysfunction in women with thyroid disorders to be 44.8% (95% CI: 33.8-56.2). Given the substantial reporting of sexual dysfunction among women with either hypothyroidism or hyperthyroidism, subgroup analyses were conducted. The prevalence of sexual dysfunction was 41.8% (95% CI: 26.3-59) among women with hypothyroidism and 59.6% (95% CI: 50.5-68.1) among those with hyperthyroidism. CONCLUSION: The notable prevalence of sexual dysfunction in women with thyroid disorders highlights the for increased awareness among this population. Targeted awareness initiatives may help mitigate the occurrence of sexual dysfunction and its adverse effects, improving overall quality of life for affected women. CLINICAL TRIAL NUMBER: Not applicable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.053 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".