Evidence map›Paper›PMID 28196362›Full record

ReviewHormone research in paediatrics2017

Practical Application of Linear Growth Measurements in Clinical Research in Low- and Middle-Income Countries.

Jan M Wit, John H Himes, Stef van Buuren, Donna M Denno, Parminder S Suchdev

Abstract readReview
In one paragraph

Review in Hormone research in paediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  13. Guidance for Systematic Integration of Undernutrition in Attributing Cause of Death in Children.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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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

5 authors.

Jan M WitDepartment of Pediatrics, Leiden University Medical Center, Leiden, the Netherlands.
John H HimesDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA.
Stef van BuurenNetherlands Organization for Applied Scientific Research TNO, Leiden, the Netherlands.
Donna M DennoDepartments of Pediatrics and Global Health, University of Washington, Seattle, Washington, USA.
Parminder S SuchdevDepartment of Pediatrics and Hubert Department of Global Health, Emory University, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsChildhood stunting is a prevalent problem in low- and middle-income countries and is associated with long-term adverse neurodevelopment and health outcomes. In this review, we define indicators of growth, discuss key challenges in their analysis and application, and offer suggestions for indicator selection in clinical research contexts.

methodsCritical review of the literature.

resultsLinear growth is commonly expressed as length-for-age or height-for-age z-score (HAZ) in comparison to normative growth standards. Conditional HAZ corrects for regression to the mean where growth changes relate to previous status. In longitudinal studies, growth can be expressed as ΔHAZ at 2 time points. Multilevel modeling is preferable when more measurements per individual child are available over time. Height velocity z-score reference standards are available for children under the age of 2 years. Adjusting for covariates or confounders (e.g., birth weight, gestational age, sex, parental height, maternal education, socioeconomic status) is recommended in growth analyses.

conclusionThe most suitable indicator(s) for linear growth can be selected based on the number of available measurements per child and the child's age. By following a step-by-step algorithm, growth analyses can be precisely and accurately performed to allow for improved comparability within and between studies.

Indexed as

AnthropometryBirth WeightBody HeightChildChild DevelopmentChild, PreschoolGrowth ChartsGrowth DisordersHumansInfantLongitudinal StudiesSocial ClassAnthropometryBiomarkerEnvironmental enteric dysfunctionGrowthStunting

Identifiers

PMID28196362
PMCPMC5804842

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.