Impact of massage therapy on motor outcomes in very low‐birthweight infants: Randomized controlled pilot study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The purpose of the present study was to determine the effects of massage therapy on motor development, weight gain, and hospital discharge in preterm very low-birthweight (VLBW) newborns. METHODS: Twenty-four preterm VLBW newborns (<34 weeks and <1500 g) were enrolled in this randomized controlled pilot study. The intervention group (n = 12) received massage therapy starting at 34 weeks post-conceptional age (15 min daily, 5 days/week for 4 weeks). The infants in the sham treatment group (n = 12) received similar duration of light still touch. Test of Infant Motor Performance (TIMP) score gain, weight gain, and post-conceptional age at discharge were compared between the two groups after intervention using Mann-Whitney U-test. RESULTS: No significant between-group difference in TIMP score gain and weight gain was identified when all subjects were analyzed. In subgroup analysis, among those with below-average pre-treatment TIMP score (<35), the intervention group (n = 6) achieved significantly higher TIMP score gain (P = 0.043) and earlier hospital discharge (P = 0.045) than the sham treatment group (n = 5). These same infants, however, also had significantly shorter duration of total parenteral nutrition than their counterparts in the sham treatment group (P = 0.044). CONCLUSIONS: Massage therapy might be a viable intervention to promote motor outcomes in a subgroup of VLBW newborns with poor motor performance. A larger randomized controlled trial is required to further explore the effects of massage therapy in this high-risk group.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 it