Follow-up of a randomized trial on postdischarge nutrition in preterm-born children at age 8 y
Bibliographic record
Abstract
Background: Early nutritional interventions may modulate health risks in preterm-born infants. Previously, we showed that pretermborn infants fed an isocaloric protein- and mineral-enriched postdischarge formula (PDF) from term age to 6-mo corrected age (CA) gained more lean mass than did those fed term formula (TF). Longterm follow-up of randomized nutritional trials is important to test the hypothesis that short-term positive effects on health are sustainable. Objective: The aim of this follow-up study was to compare body size, body composition, and metabolic health at age 8 y in pretermborn children who were randomly assigned to receive either PDF or TF from term age until 6-mo CA. Design: A total of 79 of 152 children (52%) from the original randomized controlled trial were enrolled for follow-up at age 8 y. Weight, height, and head circumference were measured by using standard methods. Body composition, including fat mass, lean mass, bone mineral content, and bone mineral density, was determined by dual-energy X-ray absorptiometry. Blood pressure was measured in the supine position by using an automatic device. Metabolic variables, including glucose, insulin, insulin-like growth factor I, triglycerides, cholesterol, cortisol, and leptin, were measured after an overnight fast. Nutritional habits at age 8 y were assessed by using a 3-d nutritional diary. Results: At age 8 y, no differences were found in body size, body composition, bone variables, and metabolic health variables when comparing children fed PDF with those fed TF. Adjustment for known and possible confounders did not change these results. Conclusions: In this follow-up study in preterm-born children, we showed that the favorable effects of PDF at 6-mo CA either were not maintained or could not be confirmed because of attrition at the age of 8 y. We suggest that future research should focus on nutritional interventions in the pre- and postdischarge period as a continuum rather than as separate entities.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".