Evidence map›Paper›PMID 36118748›Full record

ReviewFrontiers in nutrition2022

Precision nutrition: Maintaining scientific integrity while realizing market potential.

Silvia Berciano, Juliana Figueiredo, Tristin D Brisbois, Susan Alford, Katie Koecher, Sara Eckhouse, Roberto Ciati, Martin Kussmann, Jose M Ordovas, Katie Stebbins and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Observational
  7. Review
  8. Advancing personalised and precision nutrition.Journal of nutritional science · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

11 authors.

Silvia BercianoFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Juliana FigueiredoFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Tristin D BrisboisAdvanced Personalization Ideation Center, PepsiCo Inc., Purchase, New York, NY, United States.
Susan AlfordNovo Nordisk Inc., Plainsboro Township, NJ, United States.
Katie KoecherBell Institute of Health and Nutrition, General Mills, Inc., Minneapolis, MN, United States.
Sara EckhouseFoodShot Global, New York, NY, United States.
Roberto CiatiBarilla G&R, Parma, Italy.
Martin KussmannGerman Entrepreneurship, Cambridge, MA, United States.
Jose M OrdovasFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Katie StebbinsFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Jeffrey B BlumbergFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision Nutrition (PN) is an approach to developing comprehensive and dynamic nutritional recommendations based on individual variables, including genetics, microbiome, metabolic profile, health status, physical activity, dietary pattern, food environment as well as socioeconomic and psychosocial characteristics. PN can help answer the question "What should I eat to be healthy?", recognizing that what is healthful for one individual may not be the same for another, and understanding that health and responses to diet change over time. The growth of the PN market has been driven by increasing consumer interest in individualized products and services coupled with advances in technology, analytics, and omic sciences. However, important concerns are evident regarding the adequacy of scientific substantiation supporting claims for current products and services. An additional limitation to accessing PN is the current cost of diagnostic tests and wearable devices. Despite these challenges, PN holds great promise as a tool to improve healthspan and reduce healthcare costs. Accelerating advancement in PN will require: (a) investment in multidisciplinary collaborations to enable the development of user-friendly tools applying technological advances in omics, sensors, artificial intelligence, big data management, and analytics; (b) engagement of healthcare professionals and payers to support equitable and broader adoption of PN as medicine shifts toward preventive and personalized approaches; and (c) system-wide collaboration between stakeholders to advocate for continued support for evidence-based PN, develop a regulatory framework to maintain consumer trust and engagement, and allow PN to reach its full potential.

Indexed as

geneticsmetabolic healthmicrobiomeomicspersonalized nutritionprecision nutritionwearable devices

Identifiers

PMID36118748
PMCPMC9481417

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.