Core Outcome Set and Reporting Checklist for Studies on Vasa Previa
Bibliographic record
Abstract
Importance: Vasa previa, although a rare condition affecting 0.46 per 1000 pregnancies, results in high rates of fetal and neonatal mortality and morbidity. Widespread use of a core outcome set and reporting checklist may enable data harmonization, enhance evidence synthesis, and ensure prioritization of patient-important outcomes in clinical practice, future research, and clinical practice guidelines. Objective: To develop a core outcome set for studies on vasa previa that includes perinatal screening, diagnosis, and management of vasa previa. Design, Setting, and Participants: This survey study involved a 2-round international and cross-disciplinary Delphi survey and virtual consensus meetings conducted between March 14, 2021, and October 4, 2022. Health care professionals (HCPs) and health service users (HSUs) were invited to participate in the development of the core outcome set. Exposure: Perinatal screening, diagnosis, and management of vasa previa. Main Outcome and Measures: Core outcomes and reporting checklist items for future studies on vasa previa were developed using Delphi surveys, small group discussions, and a consensus meeting. Results: An international group of 204 participants, comprising 115 HSUs and 89 HCPs representing 27 countries, rated 67 outcomes identified through a systematic review and qualitative interviews in a 2-round online Delphi survey. Through virtual small group discussions and a consensus meeting, 13 core outcomes were identified: pregnancy outcome (live birth, fetal loss [miscarriage or stillbirth], or neonatal death), severe neonatal morbidity, fetal/neonatal blood loss, neonatal intensive care unit admission for >24 hours, gestational age at birth, third trimester confirmation of vasa previa diagnosis, neurocognitive and developmental outcomes, mode of birth, maternal death or severe morbidity, maternal quality of life, duration of antepartum admission, and antepartum or peripartum hemorrhage. A 22-item reporting checklist was simultaneously developed to include important items in studies on vasa previa when possible and/or relevant. Conclusions and Relevance: The core outcome set and reporting checklist for vasa previa are hoped to encourage researchers to incorporate patient-important outcomes in future studies to enable data harmonization, improve evidence synthesis, and facilitate the development of clinical practice guidelines for this rare and highly lethal condition for which timely diagnosis and management may prevent fetal and maternal morbidity and mortality.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".