Impact of nonnutritive oral motor stimulation and infant massage therapy on oral feeding skills of preterm infants
Bibliographic record
Abstract
We have shown that the provision of a nonnutritive oral motor therapy (NNOMT) or infant massage therapy (iMT) provided singly and in combination vs. no intervention shortens the number of days from start to independent oral feeding in very low birth weight infants. This study hypothesizes that infants who benefited from NNOMT and/or iMT will demonstrate enhanced maturation of their oral feeding skills (OFS) when compared to control counterparts. OFS levels were monitored using a recently developed scale that takes into account their nutritive sucking skills and endurance at time of assessment. It is a simple method that requires only the additional reading of the volume taken 5 minutes into the start of a feeding and information routinely recorded in patients' medical chart. Four OFS levels were identified, characterized by infant's proficiency (% volume taken during the first 5 min/volume prescribed) and rate of transfer monitored over the entire feeding session (ml/min); OFS level 1 being the most immature and 4 the most mature. In parallel with the benefits provided by NNOMT and/or iMT, we demonstrate the direct positive impact these interventions have on accelerating the maturation of infants' oral feeding skills.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".