Evidence map›Paper›PMID 28512322›Full record

ArticleScientific reports2017

Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine.

Sophie N B Selby-Pham, Rosalind B Miller, Kate Howell, Frank Dunshea, Louise E Bennett

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Observational
  9. Polyphenol-RichFoods (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Chronic Consumption of Cranberries (Frontiers in nutrition · 2022
    Article
  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

5 authors at 2 institutions in 1 country.

Sophie N B Selby-PhamFaculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, 3010, Australia.ORCID 0000-0001-8514-3294
Rosalind B MillerCSIRO Data61, North Ryde, 2113, Australia.
Kate HowellFaculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, 3010, Australia.
Frank DunsheaFaculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, 3010, Australia.ORCID 0000-0003-3998-1240
Louise E BennettCSIRO Agriculture and Food, 671 Sneydes Road, Werribee, 3030, Australia. Louise.Bennett1@monash.edu.
Commonwealth Scientific and Industrial Research Organisation · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A diet high in phytochemical-rich plant foods is associated with reducing the risk of chronic diseases such as cardiovascular and neurodegenerative diseases, obesity, diabetes and cancer. Oxidative stress and inflammation (OSI) is the common component underlying these chronic diseases. Whilst the positive health effects of phytochemicals and their metabolites have been demonstrated to regulate OSI, the timing and absorption for best effect is not well understood. We developed a model to predict the time to achieve maximal plasma concentration (T

Indexed as

Absorption, PhysicochemicalGastrointestinal AbsorptionModels, BiologicalAlgorithmsHumansIntestine, SmallPhytochemicalsReproducibility of ResultsPhytochemicals

Identifiers

PMID28512322
PMCPMC5434065
OpenAlexW2613154581

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.