Interconexões entre endometriose, infertilidade e sono: uma revisão sistemática
Bibliographic record
Abstract
Introduction: Endometriosis is a chronic gynecological condition that affects the physical and mental health of women of reproductive age, associated with chronic pain, sexual dysfunction, and infertility. Sleep disorders are common in this population, influenced by hormonal fluctuations and the interaction between the circadian and reproductive systems. These alterations compromise quality of life and reproductive function, although their relationship with infertility remains underexplored. This systematic review investigates the interrelation between endometriosis, sleep, and infertility, highlighting the importance of integrated therapeutic approaches. Materials and Methods: A systematic search was conducted in the LILACS, PubMed, and SciELO databases using the descriptors “Endometriosis,” “Infertility,” and “Sleep.” Only peer-reviewed studies published in the last five years, freely accessible, and in English were included. Studies with small samples, not peer-reviewed, or in other languages were excluded. Methodological quality was assessed using the Cochrane RoB 2.0 and Newcastle-Ottawa Scale tools, while publication bias was analyzed using Egger’s test. Statistical analyses were performed using SPSS software, adopting p < 0.05 as the significance level. Results: The reviewed studies indicate that endometriosis negatively impacts sexual function and sleep quality, aggravated by pelvic pain, anxiety, and depression. Women with the condition have a higher prevalence of sleep disorders and more intense symptoms of mental disorders. Findings reinforce the need for multidisciplinary interventions that address both physical and psychological aspects. Conclusion: Sleep plays a fundamental role in the quality of life, mental health, and reproductive function of women with endometriosis. Integrated management of pain, sleep disorders, and mental health is essential to improve reproductive outcomes. Future studies should further investigate this relationship.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".