Evidence map›Paper›PMID 33183301›Full record

SynthesisBMC medicine2020

Ending malnutrition in all its forms requires scaling up proven nutrition interventions and much more: a 129-country analysis.

Nick Scott, Dominic Delport, Samuel Hainsworth, Ruth Pearson, Christopher Morgan, Shan Huang, Jonathan K Akuoku, Ellen Piwoz, Meera Shekar, Carol Levin and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 5 pooled it
4.2field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Nick ScottMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia. nick.scott@burnet.edu.au.
Dominic DelportMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Samuel HainsworthMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Ruth PearsonMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Christopher MorganMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Shan HuangMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Jonathan K AkuokuWorld Bank Group, Washington DC, USA.
Ellen PiwozNutrition Global Development Program, Bill and Melinda Gates Foundation, Seattle, USA.
Meera ShekarWorld Bank Group, Washington DC, USA.
Carol LevinDepartment of Global Health, University of Washington, Seattle, USA.
Mike TooleMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Caroline Se HomerMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.
Burnet Institute · AUWorld Bank Group · USBill & Melinda Gates Foundation · USUniversity of Melbourne · AUUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSustainable Development Goal (SDG) 2.2 calls for an end to all forms of malnutrition, with 2025 targets of a 40% reduction in stunting (relative to 2012), for wasting to occur in less than 5% of children, and for a 50% reduction in anaemia in women (15-49 years). We assessed the likelihood of countries reaching these targets by scaling up proven interventions and identified priority interventions, based on cost-effectiveness.

methodsFor 129 countries, the Optima Nutrition model was used to compare 2019-2030 nutrition outcomes between a status quo (maintained intervention coverage) scenario and a scenario where outcome-specific interventions were scaled up to 95% coverage over 5 years. The average cost-effectiveness of each intervention was calculated as it was added to an expanding package of interventions.

resultsOf the 129 countries modelled, 46 (36%), 66 (51%) and 0 (0%) were on track to achieve the stunting, wasting and anaemia targets respectively. Scaling up 18 nutrition interventions increased the number of countries reaching the SDG 2.2 targets to 50 (39%), 83 (64%) and 7 (5%) respectively. Intermittent preventative treatment of malaria during pregnancy (IPTp), infant and young child feeding education, vitamin A supplementation and lipid-based nutrition supplements for children produced 88% of the total impact on stunting, with average costs per case averted of US$103, US$267, US$556 and US$1795 when interventions were consecutively scaled up, respectively. Vitamin A supplementation and cash transfers produced 100% of the total global impact on prevention of wasting, with average costs per case averted of US$1989 and US$19,427, respectively. IPTp, iron and folic acid supplementation for non-pregnant women, and multiple micronutrient supplementation for pregnant women produced 85% of the total impact on anaemia prevalence, with average costs per case averted of US$9, US$35 and US$47, respectively.

conclusionsPrioritising nutrition investment to the most cost-effective interventions within the country context can maximise the impact of funding. A greater focus on complementing nutrition-specific interventions with nutrition-sensitive ones that address the social determinants of health is critical to reach the SDG targets.

Indexed as

AdolescentAdultDietary SupplementsFemaleHumansMaleMalnutritionMiddle AgedNutritional SupportSustainable DevelopmentYoung AdultEconomic analysisMathematical modelNutritionOptima NutritionSustainable Development Goals

Identifiers

PMID33183301
PMCPMC7661178
OpenAlexW3098882970

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.