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Record W1891800556 · doi:10.7322/jhgd.103020

DEVELOPMENTAL ASSESSMENT OF INFANTS BORN PRETERM: COMPARISON BETWEEN THE CHRONOLOGICAL AND CORRECTED AGES

2015· article· en· W1891800556 on OpenAlexaboutno aff
Cibelle Kayenne Martins Roberto Formiga, Martina Estevam Brom Vieira, Maria Beatriz Martins Linhares

Bibliographic record

VenueJournal of Human Growth and Development · 2015
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMcNemar's testGestational ageMedicinePediatricsAge groupsBirth weightMotor skillDemographyPregnancy

Abstract

fetched live from OpenAlex

Objective: To compare the global and motor development of infants born preterm, regarding the performance in the chronological age and corrected age for prematurity. Methods: This is a crosssectional study. The sample was comprised of 182 preterm infants (< 37 weeks of gestational age) and low birth weight (< 2,500 grams) belonging to the following age groups: 2-4 months (n = 182), 4-6 months (n = 146), and 6-8 months (n = 112). The global development was assessed through the Denver-II test in the three age groups, and the motor development was assessed through the Test of Infant Motor Performance in 2-4 months group and the Alberta Infant Motor Scale in 4-6 and 6-8 months group. The infants‘ performance classifications in the chronological and corrected ages were compared through the McNemar’s test. Results: The global and motor development was delayed in 75% to 91% of the infants, regarding the chronological age in all three age groups. Otherwise, concerning the corrected age for prematurity, the delayed performance was detected in 33% to 51% of the infants in all three age groups (p < 0.001). Conclusion: The development assessments taking on the chronological age could overestimate risks and problems in the first year of age.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.329
Teacher spread0.274 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations22
Published2015
Admission routes1
Has abstractyes

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