Evidence map›Paper›PMID 31103470›Full record

ArticleThe Lancet. Global health2019

National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis.

Hannah Blencowe, Julia Krasevec, Mercedes de Onis, Robert E Black, Xiaoyi An, Gretchen A Stevens, Elaine Borghi, Chika Hayashi, Diana Estevez, Luca Cegolon and 4 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 555 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
555citing papers in PubMed, 20 pooled it
–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

555 citing papers in PubMed, 20 syntheses or guidelines pooled it.

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495 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Hannah BlencoweMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: Hannah.Blencowe@lshtm.ac.uk.
Julia KrasevecData and Analytics, Division of Data, Research and Policy, UNICEF, NY, USA.
Mercedes de OnisDepartment of Nutrition for Health and Development, World Health Organization, Geneva, Switzerland.
Robert E BlackInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Xiaoyi AnData and Analytics, Division of Data, Research and Policy, UNICEF, NY, USA.
Gretchen A StevensDepartment of Information Evidence and Research, World Health Organization, Geneva, Switzerland.
Elaine BorghiDepartment of Nutrition for Health and Development, World Health Organization, Geneva, Switzerland.
Chika HayashiData and Analytics, Division of Data, Research and Policy, UNICEF, NY, USA.
Diana EstevezDepartment of Nutrition for Health and Development, World Health Organization, Geneva, Switzerland.
Luca CegolonMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK; Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, Italy; Local Health Unit N2, Public Health Department Treviso, Italy.
Suhail ShiekhMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Victoria Ponce HardyMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Joy E LawnMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Simon CousensMaternal Adolescent Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundLow birthweight (LBW) of less than 2500 g is an important marker of maternal and fetal health, predicting mortality, stunting, and adult-onset chronic conditions. Global nutrition targets set at the World Health Assembly in 2012 include an ambitious 30% reduction in LBW prevalence between 2012 and 2025. Estimates to track progress towards this target are lacking; with this analysis, we aim to assist in setting a baseline against which to assess progress towards the achievement of the World Health Assembly targets.

methodsWe sought to identify all available LBW input data for livebirths for the years 2000-16. We considered population-based national or nationally representative datasets for inclusion if they contained information on birthweight or LBW prevalence for livebirths. A new method for survey adjustment was developed and used. For 57 countries with higher quality time-series data, we smoothed country-reported trends in birthweight data by use of B-spline regression. For all other countries, we estimated LBW prevalence and trends by use of a restricted maximum likelihood approach with country-level random effects. Uncertainty ranges were obtained through bootstrapping. Results were summed at the regional and worldwide level.

findingsWe collated 1447 country-years of birthweight data (281 million births) for 148 countries of 195 UN member states (47 countries had no data meeting inclusion criteria). The estimated worldwide LBW prevalence in 2015 was 14·6% (uncertainty range [UR] 12·4-17·1) compared with 17·5% (14·1-21·3) in 2000 (average annual reduction rate [AARR] 1·23%). In 2015, an estimated 20·5 million (UR 17·4-24·0 million) livebirths were LBW, 91% from low-and-middle income countries, mainly southern Asia (48%) and sub-Saharan Africa (24%).

interpretationAlthough these estimates suggest some progress in reducing LBW between 2000 and 2015, achieving the 2·74% AARR required between 2012 and 2025 to meet the global nutrition target will require more than doubling progress, involving both improved measurement and programme investments to address the causes of LBW throughout the lifecycle.

fundingBill & Melinda Gates Foundation, The Children's Investment Fund Foundation, United Nations Children's Fund (UNICEF), and WHO.

Indexed as

Infant, Low Birth WeightDatabases, FactualGlobal HealthHealth SurveysHumansLikelihood FunctionsNutrition DisordersPrevalenceRegression Analysis

Identifiers

PMID31103470
PMCPMC6560046

What OpenQuestion holds

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LicenceCC BY
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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.