Bibliographic record
Abstract
BACKGROUND/AIMS: A recent report has highlighted the decreasing prevalence in recent years of severe intraventricular haemorrhage (IVH) in very low birthweight (VLBW) infants (<1500 g). This study attempted to identify the severity of the grade of IVH in infants with stage 3 retinopathy of prematurity (ROP), and to re-examine the association between threshold ROP and IVH. METHODS: This was a retrospective study carried out over 3 years, between December 1995 and December 1998 of neonates admitted to a single neonatal intensive care unit. 28 infants with stage 3 ROP were identified from the ROP screening database. Cranial ultrasound scans were available on 24 of these infants. The scans were reviewed and the severity of IVH was graded from grade 1 to grade 4. The birth weight, sex, ethnic origin, and gestational age of the babies were recorded. The number of infants progressing to threshold disease and the treatment provided was documented. RESULTS: The 24 infants had a median gestational age of 26 weeks (range 24-28 weeks) and a median birth weight of 762.5 g (range 540-1010 g). 17 infants were treated for threshold disease. 13 infants (54.2%) had IVH, of these eight (61.5%) had grade 1, two (15.4%) had grade 2, one (7.7%) had grade 3, and two (15.4%) had grade 4. 12 of the 13 infants (92.3%) with IVH had treatment with laser or cryotherapy for ROP compared with five of the remaining 11 infants (p = 0.023, Fisher's exact test). These data provide little evidence of any association between IVH and each of ethnic origin (p = 0.856), sex (p = 1), birth weight, or gestational age (p = 0.56 and p = 0.06 respectively) in infants with stage 3 ROP. CONCLUSIONS: These data provide strong evidence (p = 0. 023) of an association between the presence of IVH and treatment of threshold ROP. Although the numbers in this study are small the majority of infants with stage 3 ROP had grade 1 IVH, which heralds a more favourable neurological outcome. An association between the severity of ROP and severity of IVH was not demonstrated. With improvements in neonatal care and a reduction in the prevalence of severe IVH, there appears to be a weakening of the previously reported association between severe IVH and severe ROP. However, the presence of even a minor grade of IVH may be a significant risk factor for threshold ROP once stage 3 disease is encountered.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".