Abstract 16939: Tube-assisted Feeding is Associated With Worse Longitudinal Growth in Children With Single Ventricle Cardiac Disease
Bibliographic record
Abstract
Introduction: Children with single ventricle cardiac disease (SVCD) have poor growth in early life. Tube-assisted feeding (TF) has increasingly been used to improve weight gain in SVCD patients, but little is known about its long-term effects on growth. We sought to compare the longitudinal growth of SVCD patients receiving TF at the time of hospital discharge after initial cardiac surgery with those fed entirely by mouth. Methods: We conducted a retrospective cohort study of patients who underwent initial surgical palliation for SVCD from 1999 to 2009, excluding premature infants ( Results: A total of 135 patients met inclusion criteria; 64% were male and 50% had HLHS. There were 44 patients (33%) in the TF group. Median weight z-score was significantly lower in the TF group at each year of life from ages 2 to 6 years (p Conclusions: Long-term growth of children with SVCD who require TF at hospital discharge is diminished compared to that of peers who are fed entirely by mouth. TF patients with SVCD do not experience catch-up growth during early childhood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".