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Record W2415463558 · doi:10.1097/pep.0000000000000222

Commentary on “Use of the TIMP in Assessment of Motor Development of Infants With Down Syndrome”

2015· letter· en· W2415463558 on OpenAlexaboutno aff
Jane E. Hamer, Hilda Mulligan

Bibliographic record

VenuePediatric Physical Therapy · 2015
Typeletter
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Motor skillPsychologyPhysical medicine and rehabilitationTypically developingChild developmentMotor controlDevelopmental psychologyMedicineIntervention (counseling)Neuroscience

Abstract

fetched live from OpenAlex

“How could I apply this information?” Previous studies have shown that infants with Down syndrome (DS) have lower motor skills than their peers that are typically developing (TD), particularly with reduced general movements and postural control. This research adds to our body of knowledge on measurement of motor development in early infancy. The authors identified that the Test of Infant Motor Performance (TIMP) was sensitive to detect delays in infants with DS between 34 weeks' postconceptional age and 4 months' postterm as compared with their peers that were TD. From their findings, clinical recommendations were given for intervention for neck rotation, visual tracking and activation of neck and trunk flexors, and elongation of spinal extensors to elicit head control. More translation of the clinical relevance of the study's findings of delay in postural control and motor coordination in infants with DS would assist clinicians to plan and implement targeted therapeutic programs and to use the TIMP to measure and evaluate individual progress. “What should I be mindful about when applying this information?” The authors collected data from infants in central Poland, with the findings referenced to US norms. Therefore, knowledge and understanding of the effect of socioeconomic and other potential factors that influence childhood development in different regions of the world is recommended before clinicians apply the results in their own context. Furthermore, the authors suggest their results indicate that motor development of infants with DS shows a linear progression of improvement with age; however, increased sample size and longitudinal studies are needed to justify this statement. In the literature and in practice, other tests are commonly used to identify motor delay in children with DS—General Movements (Prechtl Method) in early infancy, and the Bayley Scales of Infant Development-III, the Alberta Infant Motor Scale and Pediatric Evaluation of Disability Inventory. The authors did not specify their rationale for choice of the TIMP over other tests. This rationale would be useful to help clinicians reason through their own choice of assessment tool. It may be that factors such as age range, test cost, and training requirements played a factor in the test choice. Jane Hamer, NZRPT Waitemata District Health Board, Auckland, New Zealand Hilda Mulligan, PhD University of Otago, Christchurch, New Zealand The authors declare no conflicts of interest.

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)0.010
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.049
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.069
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0030.004
Open science0.0070.002
Research integrity0.0490.049
Insufficient payload (model declined to judge)0.0040.005

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 head0.029
GPT teacher head0.289
Teacher spread0.260 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2015
Admission routes1
Has abstractyes

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