Systematic review of the literature informing the systemic lupus erythematosus indicators project: Reproductive health care quality indicators
Bibliographic record
Abstract
OBJECTIVE: Systemic lupus erythematosus (SLE) primarily affects women of reproductive age. Here we summarize the scientific evidence supporting recently developed quality indicators (QIs) pertaining to reproductive health. METHODS: We used a modification of the RAND/UCLA Appropriateness Method to develop QIs for SLE. We performed systematic reviews of the literature pertaining to each proposed indicator. Three indicators focusing on reproductive health were included in the final set. Relevant literature was presented to an expert panel, who rated the validity and feasibility of the indicators. RESULTS: Three QIs were rated as valid and feasible. These indicators specifically address laboratory testing during pregnancy in SLE, the treatment of antiphospholipid antibody syndrome, and counseling for drugs with teratogenic potential. CONCLUSION: We used a rigorous method to develop reproductive health QIs for SLE. In the future, these indicators can be used in the assessment and delivery of care to patients with SLE.
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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 | 0.029 | 0.126 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.024 | 0.025 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".