Evidence map›Paper›PMID 21884133›Full record

ArticleNutrition reviews2011

Economic analysis of nutrition interventions for chronic disease prevention: methods, research, and policy.

John B Wong, Paul M Coates, Robert M Russell, Johanna T Dwyer, James A Schuttinga, Barbara A Bowman, Sarah A Peterson

Open access · bronzeAbstract readConference Proceedings
In one paragraph

Article in Nutrition reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Vitamin/trace mineral supplements for the elderly.Advances in nutrition (Bethesda, Md.) · 2012
    Article
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

7 authors at 1 institution in 1 country.

John B WongDivision of Clinical Decision Making, Tufts Medical Center, School of Medicine, Tufts University, Boston, Massachusetts 02111, USA. jwong@tuftsmedicalcenter.org
Paul M Coates
Robert M Russell
Johanna T Dwyer
James A Schuttinga
Barbara A Bowman
Sarah A Peterson
Tufts Medical Center · US

Funding

Intramural NIH HHS Z99 OD999999
6 · The paper itself

Abstract

Increased interest in the potential societal benefit of incorporating health economics as a part of clinical translational science, particularly nutrition interventions, led the Office of Dietary Supplements at the National Institutes of Health to sponsor a conference to address key questions about the economic analysis of nutrition interventions to enhance communication among health economic methodologists, researchers, reimbursement policy makers, and regulators. Issues discussed included the state of the science, such as what health economic methods are currently used to judge the burden of illness, interventions, or healthcare policies, and what new research methodologies are available or needed to address knowledge and methodological gaps or barriers. Research applications included existing evidence-based health economic research activities in nutrition that are ongoing or planned at federal agencies. International and US regulatory, policy, and clinical practice perspectives included a discussion of how research results can help regulators and policy makers within government make nutrition policy decisions, and how economics affects clinical guideline development.

Indexed as

DietNutrition PolicyChronic DiseaseHealth PromotionHumansNational Institutes of Health (U.S.)Practice Guidelines as TopicTranslational Research, BiomedicalUnited States

Identifiers

PMID21884133
PMCPMC3170130
OpenAlexW1933480175

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.