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Record W2762457418 · doi:10.1093/pch/pxx086.038

DEVELOPMENT OF A NEW FEEDING SCALE FOR USE IN CHARGE SYNDROME AND IMPLICATIONS FOR ITS USE IN AUTISM AND OTHER GENETIC CONDITIONS

2017· article· en· W2762457418 on OpenAlexaffabout
Alexandra Hudson, Kayla Stratton, Jill Hatchette, Kim Blake

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicCongenital Ear and Nasal Anomalies
Canadian institutionsDalhousie UniversityIzaak Walton Killam Health Centre
Fundersnot available
KeywordsCHARGE syndromeAutismChoanal atresiaGenetic syndromesPediatricsMedicineSwallowingScale (ratio)Eye contactDevelopmental psychologyPsychologyPsychiatryAtresiaSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with genetic disorders and autism often have feeding difficulties that differ from typically developing children. In CHARGE syndrome (coloboma occular, heart problems, choanal atresia, retardation of growth, genitourinary anomalies, ear malformations), more than 90% need initial tube feeding and over 75% have cranial nerve dysfunction, contributing to weak swallow/sucking. These features lead to feeding difficulties that may not be accurately captured using current validated questionnaires. OBJECTIVES: To develop a user-friendly scale for parents and clinicians to assess feeding difficulties in individuals with CHARGE syndrome across their lifespan, as well as have the scale be validated in autism and other genetic syndromes in the future. DESIGN/METHODS: The new feeding scale was adapted from the Pediatric Assessment Scale for Severe Feeding Problems (PASSFP), a validated scale that assesses feeding problems in typically developing children. Questions specific to CHARGE syndrome, other genetic syndromes, and autism were extracted from the current literature and reviewed by expert clinicians and feeding therapists. Ten parents piloted the new scale. It was then sent out, along with the PASSFP and general feeding history questions, to parents of individuals with CHARGE syndrome. A subset of parents completed the new scale again 2-4 weeks later to assess test-retest reliability. RESULTS: One hundred parents participated from around the world (Canada, USA, UK, Australia, New Zealand, Europe). Individuals with CHARGE syndrome had an average age of 10.9 years (SD 8.3, range 1-33). Most common feeding difficulties were swallowing (25%), chewing (19%), and mouth over-stuffing (16%). The new scale had good construct validity, as there was a significant effect for an increased number of feeding difficulty risk factors having higher scale scores (p<0.001). Face validity of the new scale was found to be high, as scores significantly differed between individuals whose parents described their current feeding difficulties as very mild, mild, moderate, severe, and very severe (p<0.001). Test-retest reliability was high, with a significant correlation between the first and second scale completions (r=0.94, p<0.001). The new scale also had a high level of internal consistency (cronbach’s alpha 0.91), indicating that each scale question performed well and did not need to be discarded. Lastly, there was significant convergent validity between the new scale and the PASSFP scale (r=-0.79, p<0.001), indicating that the new scale was assessing feeding difficulties well. CONCLUSION: The newly developed feeding scale for CHARGE syndrome is a reliable and valid tool, which can be used to provide both parents and clinicians a more accurate picture of oral feeding progress. The next steps are to validate this scale in individuals with autism and other genetic disorders.

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)0.012
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.329
Teacher spread0.266 · 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 designBench or experimental
Domainnot available
GenreMethods

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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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