MétaCan
Menu
Back to cohort
Record W2984916592 · doi:10.1111/dmcn.14353

Free Papers

2019· article· en· W2984916592 on OpenAlexaboutno aff

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2019
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

Background and Objective(s): Lack of balance affects the ability of children and adolescents with Down Syndrome (DS) when performing motor skills. Recently, there are available many interventions that aim to improve balance in DS; however, the current state of evidence of the efficacy of these interventions is unknown. Therefore, the purpose of this systematic review is to summarize the effects of interventions available on balance in children and adolescents with DS and their dosage parameters. Study Design: Systematic Review. Study Participants and Settings: This review included randomized controlled trials (RCT) that investigated the effects of interventions to improve balance in DS. Studies that did not provided details of the intervention and studies that included other syndromes were excluded. Materials and Methods: Two examiners independently searched for studies on the databases ERIC, Medline, Scielo and PEDro, using the keywords “Balance”, “Postural Control” or “Posture” combined with “Down Syndrome”. The final selection was made by the consensus between the examiners, with a third one in case of disagreement. The same investigators independently graded risk of bias using the PEDro scale and quality of evidence using the GRADE System. Subgroups random-effects meta-analysis were conducted when data was available and consistence (i2<50%). Results: Eight RCT were included in this review. We identified nine interventions: balance training exercises, treadmill training, suspension training, whole-body vibration, virtual reality, muscle strengthening, vestibular stimulation, sensory integration therapy (SIT), and neuro-development treatment (NDT). Such interventions were performed in 2–3 days per week, during six to 24 weeks; intensity parameters were heterogeneous in the selected studies. These interventions were offered isolated or in combinations. Isolated balance exercises and isolated SIT were inefficient in improving balance in children in SD. There are positive results when combining balance exercises or vestibular stimulation with the other modalities. Our meta-analyses showed statically significant differences (p<0.05) favoring combined balance trainings [g: −1.33 (CI: −1.90, 0.81; p=0.01); and g: 2.95 (CI: 0.17, 5.73; p=0.03)]. The level of evidence of these interventions varied from low to moderate. The efficacy of balance exercises combined with whole-body vibration, virtual reality games or strength training and vestibular stimulation combined with strength training have the best level of evidence. Conclusions or Significance: This review provided the appraisal of different balance training options that can be utilized in the rehabilitation of children and adolescents with DS. There is low to moderate evidence that balance exercises and vestibular stimulation are more effective when executed in combinations with other modalities than when performed isolated.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.193
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0090.004
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8070.690

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.

Opus teacher head0.019
GPT teacher head0.275
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental Medicine & Child NeurologySame topicDown syndrome and intellectual disability researchFrench-language works237,207