Infertility Causes and Pregnancy Outcome in Patients With Familial Mediterranean Fever and Controls
Bibliographic record
Abstract
OBJECTIVE: Recurrent attacks of peritonitis due to familial Mediterranean fever (FMF) may lead to peritoneal adhesions and fallopian tube obstruction. Colchicine, which is the treatment of choice for FMF, may disturb cell division. Secondary amyloidosis, a complication of untreated FMF, may involve the testes and ovaries. Thus, FMF and colchicine may potentially affect fertility and pregnancy in patients with FMF. The aims of the study are to evaluate the causes of infertility and pregnancy outcome in FMF patients and to compare them with 2 groups: non-FMF patients with peritoneal female genital tuberculosis (FGTB) and normal healthy controls. METHODS: This is a retrospective study in which FMF patients with reproductive disorders were recruited from the National Center of Medical Genetics and Primary Health Care in Yerevan, Armenia. The patients with FGTB and the healthy controls with reproductive problems were recruited successively from a large gynecology clinic in Yerevan. Genetic analyses for FMF were performed using ViennaLab StripAssay. RESULTS: fertilization (IVF) success rate and pregnancy outcome were comparable between the FMF patients and the control group (162 patients). Infertility in patients with FMF was clearly associated with a more severe disease and a lack of adequate colchicine treatment. CONCLUSIONS: Colchicine medication and controlled FMF disease do not adversely affect the reproductive system and pregnancy outcome. However, a lack of an appropriate colchicine treatment may cause infertility and poor pregnancy outcome.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 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".