Sexual and reproductive health in cystic fibrosis
Bibliographic record
Abstract
PURPOSE OF REVIEW: With improving life expectancy and quality of life, sexual and reproductive health (SRH) has become an increasingly important aspect of patient-centered cystic fibrosis care. This review aims to describe advances in cystic fibrosis-related SRH and highlight optimal practices. RECENT FINDINGS: Recent publications suggest that people with cystic fibrosis follow a similar trajectory of sexual development and activity as their noncystic fibrosis peers, although contraception use is lower. Although fertility is reduced in patients with cystic fibrosis, improved survival and assisted reproductive technologies have led to an increasing pursuit and incidence of pregnancy. Cystic fibrosis transmembrane regulator modulators that correct the underlying cystic fibrosis defect might improve fertility and thus far appear safe in pregnancy, though data are limited.Despite medical knowledge of SRH in cystic fibrosis, patients continue to report they lack sufficient education about these aspects of their healthcare, and cystic fibrosis multidisciplinary teams are ill prepared to counsel their patients. SUMMARY: Understanding of the effects of cystic fibrosis on SRH continues to improve, although many questions remain regarding optimal care from the choice of contraception to the safety of cystic fibrosis-specific medications in pregnancy. Further development of cystic fibrosis-informed interdisciplinary specialist networks and a wider framework of practice would both enhance health outcomes and better support patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".