Association of dermatological manifestations with infertility: a systematic review of literature
Bibliographic record
Abstract
OBJECTIVE: To compile and analyse current literature to provide a comprehensive evidence related to the potential links between dermatological manifestations of skin disorders and infertility. Methods: The systematic review comprised literature search up to December 31, 2022, on Pubmed, Medline, Excerpta Medica dataBASE and Global Health databases. All original and published studies in the English language reporting on the dermatological manifestations in humans, associated with or contributing to infertility both in females and males were included. Quality assessment was performed independently by two reviewers using the Joanna Briggs Institute critical appraisal tools. RESULTS: There were 10 studies comprising 268,570 subjects. Significant positive association between skin manifestations and infer tility were found in the studies reporting on the dermatological manifestations of polycystic ovarian syndrome, dermatomyositis, atopic dermatitis and leprosy (p<0.05), while the study reporting on the association between skin manifestation of systemic sclerosis did not report a significant result (p>0.05). Conclusion: There was a potential association between cutaneous manifestations of various dermatological disorders and infer tility.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".