Reproductive and developmental effects of phthalate diesters in females
Bibliographic record
Abstract
Phthalate diesters are a diverse group of chemicals used to make plastics flexible and are found in personal care products, medical equipment, and medication capsules. Ubiquitous in the environment, human exposure to phthalates is unavoidable; however, the clinical relevance of low concentrations in human tissues remains uncertain. The epidemiological literature was inadequate for prior reviews to conclusively evaluate the effects of phthalates on male reproductive tract development and function, but recent studies have expanded the literature. Therefore, we conducted a systematic review of the literature focused on the effects of phthalate exposure on the developing male reproductive tract, puberty, semen quality, fertility, and reproductive hormones. We conclude that although the epidemiological evidence for an association between phthalate exposure and most adverse outcomes in the reproductive system, at concentrations to which general human populations are exposed, is minimal to weak, the evidence for effects on semen quality is moderate. Results of animal studies reveal that, although DEHP was the most potent, different phthalates have similar effects and can adversely affect development of the male reproductive tract with semen quality being the most sensitive outcome. We also note that developmental exposure in humans was within an order of magnitude of the adverse effects documented in several animal studies. While the mechanisms underlying phthalate toxicity remain unclear, the animal literature suggests that mice are less sensitive than rats and potentially more relevant to estimating effects in humans. Potential for chemical interactions and effects across generations highlights the need for continued study.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".