Considerations in the development of the International Multicenter Pediatric Portal Hypertension Registry
Bibliographic record
Abstract
Portal hypertension, a common sequela of chronic liver disease, is complicated by variceal hemorrhage, one of its most serious complications. Evidence-based approaches to managing variceal hemorrhage are limited by the scarcity of data related to this rare entity. Multicenter international registries are increasingly utilized to garner critical information about rare diseases. The International Multicenter Pediatric Portal Hypertension Registry (IMPPHR) was developed to acquire pediatric data about the mortality of first variceal hemorrhage and approaches to primary and second prophylaxis of variceal hemorrhage with a goal of improving outcomes in children with portal hypertension. IMPPHR evolved from pediatric portal hypertension symposia at the Baveno V and VI meetings in 2010 and 2015, with a formal executive committee initiating the development of IMPPHR in 2019. The registry opened in 2020, with data closure in 2024, including information from 44 centers and >700 subjects. The complexities and approaches to developing IMPPHR are described.
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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 | 0.259 | 0.248 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.003 | 0.009 |
| 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".