Occupational and Physical Therapy Interventions for Young Children with Developmental Central Hypotonia: An Overview of Systematic Reviews
Bibliographic record
Abstract
Developmental central hypotonia describes children with decreased muscle tone due to non-progressive central damage, and includes many genetic conditions (e.g., Down, Prader–Willi or Joubert syndromes etc.), cerebral palsy with hypotonia as the main motor type, developmental delays and congenital hypotonia with favorable outcome. This umbrella review aims to systematically describe the best available evidence for interventions that may be used by early intervention therapists in home and community settings. We conducted electronic searches in PubMed, Medline, CINAHL, EMBASE, EBM Reviews and PEDro during August 2024. Methodological quality and risk-of-bias were rated by all authors, and included reviews were compared and contrasted. Eight systematic reviews (SRs) and two overviews of interventions for children with developmental central hypotonia under 6 years of age were identified through databases and other search methods. Four SRs and one overview evaluated treadmill training, one SR evaluated use of orthotics, another evaluated therapeutic exercise, and two SRs and one overview evaluated a range of occupational and physical therapy interventions. Methodological quality and risk-of-bias of included reviews were variable. Most evidence is related to children with Down syndrome, with few studies addressing children with central hypotonia from other causes. Low-quality (GRADE) evidence supports treadmill training to promote walking onset in children with Down syndrome. Motor, sensorimotor, orthotics, positioning, mobility and infant massage interventions are supported by positive but low- or very-low-quality evidence, and recommendations in favor are all conditional. Primary research on effectiveness of all occupational and physical therapy early interventions for children with developmental central hypotonia from all causes is warranted.
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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 | 0.010 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".