Evidence map›Paper›PMID 32549850›Full record

ArticleIntegrative medicine (Encinitas, Calif.)2019

The Evolution of Personalized Nutrition-From Addis, Pauling, and RJ Williams to the Future.

Jeffrey S Bland

Abstract readEditorial
In one paragraph

Article in Integrative medicine (Encinitas, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jeffrey S Bland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As forward progress continues, coupling together a person's genomic and epigenomic patterns with the deciphering of information that resides within the noncoding or "dark matter" of the human genome will revolutionize all fields of health care and certainly medical nutrition therapy. The more information we obtain in this field, the more we recognize that nutritional needs are not determined by single SNPs alone. Rather, it is more accurate to say that families of genes function together in a network to regulate metabolic function and its relationship to specific nutrients. The days of one-size-fits-all thinking about dietary recommendations are being replaced by excitement about specific genomic and biometric-based personalized recommendations.

Identifiers

PMID32549850
PMCPMC7238903

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.