Evidence map›Paper›PMID 32265838›Full record

Observational studyFrontiers in endocrinology2020

Timing of the Infancy-Childhood Growth Transition in Rural Gambia.

Robin M Bernstein, G Kesler O'Connor, Eric A Vance, Nabeel Affara, Saikou Drammeh, David B Dunger, Abdoulie Faal, Ken K Ong, Fatou Sosseh, Andrew M Prentice and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Robin M BernsteinGrowth and Development Lab, Department of Anthropology, University of Colorado, Boulder, CO, United States.
G Kesler O'ConnorLaboratory for Interdisciplinary Statistical Analysis (LISA), Department of Applied Mathematics, University of Colorado, Boulder, CO, United States.
Eric A VanceLaboratory for Interdisciplinary Statistical Analysis (LISA), Department of Applied Mathematics, University of Colorado, Boulder, CO, United States.
Nabeel AffaraDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Saikou DrammehMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia.
David B DungerDepartment of Pediatrics, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Abdoulie FaalMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Ken K OngDepartment of Pediatrics, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Fatou SossehMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Andrew M PrenticeMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Sophie E MooreMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia.

Funding

Medical Research Council MC_U123292701Medical Research Council MC_UP_1005/1Medical Research Council MC_UU_00006/2Medical Research Council MC_UU_00026/3Medical Research Council MC_UU_12015/2Medical Research Council MR/P012019/1
6 · The paper itself

Abstract

The Karlberg model of human growth describes the infancy, childhood, and puberty (ICP) stages as continuous and overlapping, and defined by transitions driven by sequential additional effects of several endocrine factors that shape the growth trajectory and resultant adult size. Previous research has suggested that a delayed transition from the infancy to the childhood growth stage contributes to sub-optimal growth outcomes. A new method developed to analyze the structure of centile crossing in early life has emerged as a potential tool for identifying the infancy-childhood transition (ICT), through quantifying patterns of adjacent monthly weight-for-age z-score (WAZ) deviation correlations. Using this method, the infancy-childhood transition was identified as taking place at around 12 months of age in two cohorts of UK infants. Here, we apply this method to data collected as part of a longitudinal growth study in rural Gambia [the Hormonal and Epigenetic Regulators of Growth, or HERO-G study,

Indexed as

Body HeightBody WeightChild, PreschoolFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleTime Factorschildhoodgrowthhormonal growth regulationinfancyinfancy-childhood transition

Identifiers

PMID32265838
PMCPMC7105771

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.