The Impact of Herpes Simplex Virus on Semen Parameters in Men with Idiopathic Infertility: A Systematic Review.
Bibliographic record
Abstract
Infertility due to the male factor is one of the major problems of infertile couples. One of the factors contributing to male infertility could be the herpes simplex virus (HSV). The aim of this systematic review was to evaluate the impact of HSV on semen parameters. This systematic review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Different English and Persian databases including Web of Science, PubMed, Scopus, Cochrane Library, EMBASE, ProQuest as well as SID, Magiran and Iranmedex were searched by two researchers, independently, without time limit until April 15, 2022. Observational studies that reported the relationship between HSV and semen parameters in men with idiopathic infertility were included in this review. The Newcastle-Ottawa Quality Assessment Scale was used for quality assessment of the included studies. Out of 356 retrieved articles, 12 observational studies comprising a total of 1460 patients were reviewed. Four studies examined the effect of HSV1 virus, two studies examined the effect of HSV2 virus and five studies examined the effect of both viruses on semen parameters. Seven studies reported at least one significant association between HSV infection and semen parameters. Sperm count and sperm motility were semen parameters further affected by the virus. In conclusion, HSV can be one of the risk factors for male infertility and it can affect semen parameters. However, due to the dearth of studies, further research with more robust designs are recommended.
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.008 | 0.008 |
| 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".