Evidence map›Paper›PMID 34036318›Full record

ReviewThe American journal of clinical nutrition2021

Increasing the availability and utilization of reliable data on population micronutrient (MN) status globally: the MN Data Generation Initiative.

Kenneth H Brown, Sophie E Moore, Sonja Y Hess, Christine M McDonald, Kerry S Jones, Sarah R Meadows, Mari S Manger, Jennifer Coates, Silvia Alayon, Saskia J M Osendarp

Abstract readReview
In one paragraph

Review in The American journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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

10 authors.

Kenneth H BrownDepartment of Nutrition and Institute for Global Nutrition, University of California Davis, Davis, CA, USA.ORCID 0000-0001-6498-3120
Sophie E MooreDepartment of Women's and Children's Health, Kings College London, London, United Kingdom.ORCID 0000-0003-1650-3238
Sonja Y HessDepartment of Nutrition and Institute for Global Nutrition, University of California Davis, Davis, CA, USA.ORCID 0000-0002-4661-277X
Christine M McDonaldDepartment of Pediatrics, University of California San Francisco School of Medicine, San Francisco, CA, USA.ORCID 0000-0003-1231-9003
Kerry S JonesNational Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-7380-9797
Sarah R MeadowsNational Institute for Health Research Biomedical Research Centre Nutritional Biomarker Laboratory, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-5222-0257
Mari S MangerInternational Zinc Nutrition Consultative Group, San Francisco, CA, USA.
Jennifer CoatesFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Silvia AlayonUnited States Agency for International Development Advancing Nutrition, Arlington, VA, USA.
Saskia J M OsendarpThe Micronutrient Forum, Washington, DC, USA.ORCID 0000-0002-3847-5584

Funding

Department of Health IS-BRC-1215-20014Medical Research Council MC_PC_MR/R019177/1Medical Research Council MC_U123292701Medical Research Council MR/P012019/1
6 · The paper itself

Abstract

Micronutrient (MN) deficiencies can produce a broad array of adverse health and functional outcomes. Young, preschool children and women of reproductive age in low- and middle-income countries are most affected by these deficiencies, but the true magnitude of the problems and their related disease burdens remain uncertain because of the dearth of reliable biomarker information on population MN status. The reasons for this lack of information include a limited understanding by policy makers of the importance of MNs for human health and the usefulness of information on MN status for program planning and management; insufficient professional capacity to advocate for this information and design and implement related MN status surveys; high costs and logistical constraints involved in specimen collection, transport, storage, and laboratory analyses; poor access to adequately equipped and staffed laboratories to complete the analyses reliably; and inadequate capacity to interpret and apply this information for public health program design and evaluation. This report describes the current situation with regard to data availability, the reasons for the lack of relevant information, and the steps needed to correct this situation, including implementation of a multi-component MN Data Generation Initiative to advocate for critical data collection and provide related technical assistance, laboratory services, professional training, and financial support.

Indexed as

Databases, FactualGlobal HealthNutritional StatusPopulation SurveillanceHumansMicronutrientsMicronutrientslaboratory quality assurancemineral deficiencynutritional status assessmentnutrition biomarkersnutrition surveysvitamin deficiency

Identifiers

PMID34036318
PMCPMC8408880

What OpenQuestion holds

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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 OpenQuestion graph.