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Record W4280601806 · doi:10.1111/ppe.12880

Implications for quantifying early life growth trajectories of term‐born infants using INTERGROWTH‐21st newborn size standards at birth in conjunction with World Health Organization child growth standards in the postnatal period

2022· article· en· W4280601806 on OpenAlexafffund
Nandita Perumal, Eric O. Ohuma, Andrew M. Prentice, Prakesh S. Shah, Abdullah Al Mahmud, Sophie E. Moore, Daniel Roth

Bibliographic record

VenuePaediatric and Perinatal Epidemiology · 2022
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of TorontoMount Sinai HospitalSickKids FoundationCentre for Global Health ResearchHospital for Sick Children
FundersCanadian Institutes of Health ResearchWorld Health OrganizationMedical Research CouncilDepartment for International DevelopmentBill and Melinda Gates Foundation
KeywordsMedicineAnthropometryBirth weightPediatricsDemographyGestational ageMalnutritionUnderweightHead circumferenceStandard scorePregnancyObesityOverweightEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background The INTERGROWTH‐21st sex and gestational age (GA) specific newborn size standards (IG‐NS) are intended to complement the World Health Organization Child Growth Standards (WHO‐GS), which are not GA‐specific. We examined the implications of using IG‐NS at birth and WHO‐GS at postnatal ages in longitudinal epidemiologic studies. Objectives The aim of this study was to quantify the extent to which standardised measures of newborn size and growth are affected when using WHO‐GS versus IG‐NS at birth among term‐born infants. Methods Data from two prenatal trials in Bangladesh ( n = 755) and The Gambia ( n = 522) were used to estimate and compare size at birth and growth from birth to 3 months when using WHO‐GS only (‘WHO‐GS’) versus IG‐NS at birth and WHO‐GS postnatally (‘IG‐NS’). Mean length‐for‐age (LAZ), weight‐for‐age (WAZ) and head circumference‐for‐age (HCAZ), and the prevalence of undernutrition (stunting: LAZ < −2SD; underweight: WAZ < −2SD; and microcephaly: HCAZ < −2SD) were estimated overall and by GA strata [early‐term (37 0/7 –38 6/7 ), full‐term (39 0/7 –40 6/7 ) and late‐term (41 0/7 –43 0/7 )]. We used Bland–Altman plots to compare continuous indices and Kappa statistic to compare categorical indicators. Results At birth, mean LAZ, WAZ and HCAZ, and the prevalence of undernutrition were most similar among newborns between 39 and 40 weeks of GA when using WHO‐GS versus IG‐NS. However, anthropometric indices were systematically lower among early‐term infants and higher among late‐term infants when using WHO‐GS versus IG‐NS. Early‐term and late‐term infants demonstrated relatively faster and slower growth, respectively, when using WHO‐GS versus IG‐NS, with the direction and magnitude of differences varying between anthropometric indices. Individual‐level differences in attained size and growth, when using WHO‐GS versus IG‐NS, were greater than 0.2 SD in magnitude for >60% of infants across all anthropometric indices. Conclusions Using IG‐NS at birth with WHO‐GS postnatally is acceptable for full‐term infants but may give a misleading interpretation of growth trajectories among early‐ and late‐term infants.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.020
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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

Citations8
Published2022
Admission routes2
Has abstractyes

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