Evidence map›Paper›PMID 31505676›Full record

ArticleThe Journal of nutrition2018

Challenges in Developing Analytically Validated Laboratory-Derived Dietary Supplement Databases.

Joseph M Betz, Catherine A Rimmer, Leila G Saldanha, Melissa M Phillips, Karen W Andrews, Stephen A Wise, Laura J Wood, Adam J Kuszak, Pavel A Gusev, Pamela R Pehrsson

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. The Health Effects of Dietary Supplements.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  5. Review
  6. Article
  7. 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

10 authors.

Joseph M BetzOffice of Dietary Supplements, National Institutes of Health, Bethesda, MD.
Catherine A RimmerChemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD.
Leila G SaldanhaOffice of Dietary Supplements, National Institutes of Health, Bethesda, MD.
Melissa M PhillipsChemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD.
Karen W AndrewsNutrient Data Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD.
Stephen A WiseOffice of Dietary Supplements, National Institutes of Health, Bethesda, MD.
Laura J WoodChemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD.
Adam J KuszakOffice of Dietary Supplements, National Institutes of Health, Bethesda, MD.
Pavel A GusevNutrient Data Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD.
Pamela R PehrssonNutrient Data Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Dietary Supplement Label Database (DSLD) is sponsored by the Office of Dietary Supplements (ODS) and the National Library of Medicine (NLM). It provides a searchable, free database of the contents of ∼65,000 supplement labels. A companion database of analytically verified product labels [the Dietary Supplement Ingredient Database (DSID)] was created by ODS, NLM, and the USDA. There are considerable challenges to populating both databases, but the DSID faces unique analytic chemistry challenges. This article describes the challenges to creating analytically verified marketplace surveys of dietary supplement (DS) product content claims for inclusion in public databases. Nutritionists and public health scientists require information on actual exposures to DS constituents because labeled content may not match labeled product content. Analytic verification of composition of DSs provides a link to actual exposure. A public database of analytically derived DS content was developed to provide more accurate estimates of dietary intake in population-based epidemiologic studies. The DSID has conducted surveys of several types of vitamin- and mineral-containing DSs. Results showing label content claims as analytically derived values are available in the current DSID. A recent pilot project explored the feasibility of adding botanical DS products to the DSID. Candidates for future botanical DSID studies will be based on sales volume, potential public health impacts, and the availability of validated analytic methods and reference materials. Databases like DSID and the DSLD are essential for researchers and clinicians to evaluate dietary ingredient intakes in population-based epidemiologic studies. Together, these databases provide a picture of the DS marketplace. The DSID provides an analytic survey of marketed DSs. However, selection of future botanical supplements for DSID evaluation involves analytic challenges. Even when appropriate resources are available, method selection and data evaluation are resource- and time-consuming.

Indexed as

Databases, FactualDietary SupplementsFood LabelingHumansLaboratoriesMineralsNational Institutes of Health (U.S.)National Library of Medicine (U.S.)Public HealthReference StandardsTeaUnited StatesUnited States Department of AgricultureVitaminsMineralsTeaVitaminscertified reference materialdietary supplementingredient databaselabellaboratory analysis

Identifiers

PMID31505676
PMCPMC6857616

What OpenQuestion holds

Textmetadata
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.