ReviewNutrition reviews2021
Comprehensive Nutrient Gap Assessment (CONGA): A method for identifying the public health significance of nutrient gaps.
Review in Nutrition reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed.
- From Evidence to Action: Addressing Micronutrient Gaps among Women of Reproductive Age in Malawi Using the Comprehensive Nutrient Gap Assessment Framework.Current developments in nutrition · 2026Article
- Enhanced Labeling to Promote Consumption of Nutrient Dense Foods and Healthier Diets.Foods (Basel, Switzerland) · 2024Article
- A subnational affordability assessment of nutritious foods for complementary feeding in Kenya.Maternal & child nutrition · 2024Article
- Micronutrient gaps during the complementary feeding period in seven countries in Southeast Asia: A Comprehensive Nutrient Gap Assessment.Maternal & child nutrition · 2023Article
- A Decision Framework for Selecting Critically Important Nutrients from Aquatic Foods.Current environmental health reports · 2023Review
- Assessing the Diets of Young Children and Adolescents in India: Challenges and Opportunities.Frontiers in pediatrics · 2022Review
- Micronutrient gaps during the complementary feeding period in South Asia: A Comprehensive Nutrient Gap Assessment.Nutrition reviews · 2021Review
- Affordability of nutritious foods for complementary feeding in South Asia.Nutrition reviews · 2021Review
- Micronutrient gaps during the complementary feeding period in 6 countries in Eastern and Southern Africa: a Comprehensive Nutrient Gap Assessment.Nutrition reviews · 2021Review
- Affordability of nutritious foods for complementary feeding in Eastern and Southern Africa.Nutrition reviews · 2021Review
- Nutrient gaps and affordability of complementary foods in Eastern and Southern Africa and South Asia.Nutrition reviews · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying dietary nutrient gaps and interpreting their public health significance are essential for improving poor diets and reducing malnutrition. Evidence indicative of the burden of nutrient deficiencies and inadequate nutrient intake or availability exists in many countries yet is often misinterpreted or underused in decision-making. Clear guidance is lacking on how to synthesize and interpret the relevant evidence, which comes in many forms. To fill this methodological gap, an approach called Comprehensive Nutrient Gap Assessment was created to enable use of existing evidence to assess the public health significance of nutrient gaps and identify evidence gaps. Comprehensive Nutrient Gap Assessment requires ≥ 2 experts in nutritional assessment but does not require primary data collection or secondary quantitative data analysis. It can be implemented relatively quickly with low costs, for specific countries and subnational regions, and updated on the basis of new data with minimal effort. The findings from a Comprehensive Nutrient Gap Assessment are easily interpretable by nontechnical decision makers yet include clear justification for technical audiences.
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Registered trials
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.