Evidence map›Paper›PMID 34366563›Full record

ArticleJournal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems2021

Modernization of the National Institutes of Health Dietary Supplement Label Database.

Leila G Saldanha, Johanna T Dwyer, Richard A Bailen

Abstract read
In one paragraph

Article in Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. The Health Effects of Dietary Supplements.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  4. 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

3 authors.

Leila G SaldanhaOffice of Dietary Supplements National Institutes of Health, U.S. Department of Health and Human Services, 6100 Executive Blvd Bethesda MD USA 20892.
Johanna T DwyerOffice of Dietary Supplements National Institutes of Health, U.S. Department of Health and Human Services, 6100 Executive Blvd Bethesda MD USA 20892.
Richard A BailenOffice of Dietary Supplements National Institutes of Health, U.S. Department of Health and Human Services, 6100 Executive Blvd Bethesda MD USA 20892.

Funding

Intramural NIH HHS Z99 OD999999
6 · The paper itself

Abstract

Launched in 2008, NIH's DSLD (https://dsld.nlm.nih.gov/dsld/) currently catalogs information printed on over 125,000 (historical and current) labels of dietary supplement products sold in the U.S.. The database is maintained and updated continuously, and new versions deployed regularly. The new home page includes a prominent search bar and counter that displays the number of searchable labels in the database. The redesigned website yields near-instantaneous label retrieval, a more attractive layout of information, tailored search filters and download options, and the ability to view data in pictorial formats resulting in a much-improved user experience. The modernization of the DSLD ensures that this NIH resource has new forms of data delivery to meet the needs of App developers and data scientists, and improved performance for users. The DSLD is updated frequently to reflect the products sold in the rapidly evolving U.S. dietary supplement market.

Indexed as

botanicalsdatabasedietary supplement label databasedietary supplementsDSLDformulationslabelsNIHNoSQL databasesnutrient intake

Identifiers

PMID34366563
PMCPMC8336909

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.