The Rationale for Probiotics Improving Reproductive Health and Pregnancy Outcome
Bibliographic record
Abstract
PROBLEM: Medical problems of most importance to reproductive health of women differ to some extent between the developed world and resource-disadvantaged countries. Nevertheless, many share a common link in microbial involvement. METHOD OF STUDY: A review of the peer-reviewed literature on microbiota, probiotics, and reproductive health. RESULTS: Indigenous and probiotic lactobacilli express properties antagonistic to pathogens, but complementary to host immunity. These organisms are associated with conception, reducing the risk of infection, as well as potentially lowering the risk of a number of complications of pregnancy that otherwise lead to maternal and infant mortality and morbidity. CONCLUSIONS: The ability to manipulate the microbiome and to improve immunity through probiotics holds much promise. The lack of improvements over the past 40 years in managing urogenital infections in women is incomprehensible. Support for innovative diagnostic and treatment options is needed, including testing and implementing probiotic therapies, especially for women with poor access to healthcare and good nutrition.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".