Use of Cyproheptadine in Young Children With Feeding Difficulties and Poor Growth in a Pediatric Feeding Program
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to assess the efficacy and safety of cyproheptadine (CY) use in infants and young children with poor growth treated at our multidisciplinary pediatric feeding program, and to describe changes in their weight and feeding behaviors. METHODS: A retrospective chart review of children treated with CY from January 2007 to July 2011 was performed. Demographic data, medical diagnosis, adverse effects of the drug, and changes in mealtime behaviors were extracted from the patients' medical records. For each patient who received the CY, weight-for-age z scores (WtZ) were calculated before and during treatment. Repeated-measures mixed model was used to analyze the pattern of change in WtZ over time and between groups. Differences in mean WtZ were tested between patients regularly receiving CY and a naturally conceived comparison group. RESULTS: Of the 127 patients in treatment owing to poor weight gain who received the CY, 82 took the medication regularly as prescribed in combination with our interventional program. For these patients, the majority of the parents (96%) reported a positive change in mealtime and feeding behaviors. A significant improvement in mean WtZ was observed after starting CY when compared with the WtZ before treatment for those patients regularly receiving the medication. This effect was independent of patients' age and/or presence of an underline medical problem. No significant differences in mean WtZ were observed over time within the comparison group. CONCLUSIONS: In our experience, the use of CY in combination with a specialized multidisciplinary interventional program is a safe and effective therapy in infants and young children with low appetite and poor growth.
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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 | 0.000 | 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) | 0.001 | 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".