(092) Racial/ethnic Differences in Semen Parameters and Male Reproductive Hormones in the United States: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract Introduction Semen quality and reproductive hormones are key indicators of male fertility potential, but studies have reported inconsistent results on racial/ethnic differences in these factors in the United States. Objective To perform a meta-analysis evaluating pooled differences in semen analysis parameters and male reproductive hormones across racial/ethnic groups in the United States through a systematic literature search. Methods PubMed, Scopus, and Web of Science were systematically searched up to December 17, 2022, with no language limitation. All studies on racial/ethnic variations in semen parameters and male reproductive hormones among the general population of the United States were included in this meta-analysis. Standardized mean difference (SMD) and its 95% confidence interval (95%CI) between races/ethnicities were pooled using the random-effects model. Newcastle–Ottawa Quality Assessment Scale (NOS) was used for risk of bias assessment. Heterogeneity was assessed by the I2 index. Results Our search yielded 731 articles. After screening, 9 studies were included. These studies had a low risk of bias (NOS ≥ 7) and involved a total of 7,641 participants. The pooled analysis showed no significant differences between White and Black men in the percent of total motility (p-value=0.513; I2=99.76%), total testosterone (p-value=0.272; I2=99.79%), free testosterone (p-value=0.220; I2=99.78%), and estradiol (p-value=0.876; I2=96.90%). However, higher sperm concentration (SMD=3.64; 95%CI: 0.18, 7.09; p-value=0.039; I2=99.53%) and total sperm count (SMD=6.04; 95%CI: 0.09, 11.99; p-value=0.046, I2=99.68%) were estimated for White men compared to Black men. Additionally, higher sperm concentration (SMD=1.39; 95%CI: 0.56, 2.23; p-value=0.001, I2=92.06%) and total motility (SMD=3.06; 95%CI: 0.09, 6.02; p-value=0.043, I2=99.14%) were estimated for Hispanic men compared to non-Hispanic men, with no differences in total sperm count (p-value=0.579, I2=97.79%) or total testosterone (p-value=0.078, I2=95.95%) (Figure 1). Conclusions This meta-analysis demonstrated reductions in semen analysis parameters, especially sperm concentration, for Black and non-Hispanic men relative to White and Hispanic men in the United States. Disclosure No.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.030 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".