A Chinese practice guideline of the assisted reproductive technology strategies for women with advanced age
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
More women postpone childbearing nowadays while female fertility begins to decline with advancing age. Furthermore, with the rolling out of the two-child policy, there is a huge demand for a second child for Chinese aged women. There are various assisted reproductive technology (ART) strategies applied for age-related infertility without solid evidence. On behalf of the Society of Reproductive Medicine, Chinese Medical Association, we would like to develop a Chinese guideline of ART strategies for age-related infertility. This guideline was produced following the recommendations for standard guidelines described in the 2012 WHO Handbook for guideline development. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework was also followed. A protocol was formulated and a Guideline Development Group was formed with specialists of reproductive medicine, methodologists from Chinese GRADE working group, and patient representative. Questions regarding the ART strategies for aged infertility were formulated and 8 most important ones were chosen to be structured in PICO format (Population, Intervention, Comparison, Outcomes). Comprehensive search and review of the literature were performed and the quality of the evidence was assessed and rated based on certain criteria and be categorized as high, moderate, low, or very low. Twenty-five recommendations were formulated among members of the Guidelines Development Group (Delphi method) basing on the overall quality of the evidence, in addition to the balance between benefits and harms, values and preferences, and resource implications. The final recommendations were agreed on by consensus during face-to-face meetings. This is the first Chinese practice guideline in reproductive medicine developed following the standard and scientific method.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Other design | medium |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it