Evidence map›Paper›PMID 28891931›Full record

SynthesisNutrients2017

Beneficial Effects of Common Bean on Adiposity and Lipid Metabolism.

Henry J Thompson, John N McGinley, Elizabeth S Neil, Mark A Brick

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% 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, 49 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Therapeutic Potential of White Kidney Beans (Foods (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Cooked Bean (Nutrients · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Daily Intake of aFrontiers in nutrition · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors at 1 institution in 1 country.

Henry J ThompsonCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. henry.thompson@colostate.edu.ORCID 0000-0002-3730-9322
John N McGinleyCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. john.mcginley@colostate.edu.
Elizabeth S NeilCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. elizabeth.neil@colostate.edu.
Mark A BrickDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA. mark.brick@colostate.edu.
Colorado State University · US

Funding

Identification of Mechanisms of Cannellini Bean Effects on Breast CancerR01CA172375 · NCI · COLORADO STATE UNIVERSITY · PI THOMPSON, HENRY J · 2013 to 2017
$1.5M
NCI NIH HHS R01 CA172375
6 · The paper itself

Abstract

In developed countries which are at the epicenter of the obesity pandemic, pulse crop consumption is well below recommended levels. In a recent systematic review and meta-analysis of 21 randomized controlled clinical trials, pulse consumption was associated with improved weight control and reduced adiposity, although the underlying mechanisms were a matter of speculation. Common bean (

Indexed as

AdiposityDietFabaceaeLipid MetabolismAdipocytesAnimalsCarnitine O-PalmitoyltransferaseCholesterolDisease Models, AnimalFatty AcidsHumansLiverMeta-Analysis as TopicObesityOxidation-ReductionRandomized Controlled Trials as TopicCarnitine O-PalmitoyltransferaseCholesterolFatty AcidsTriglyceridesadipositybeanfatty acid oxidationpulse crops

Identifiers

PMID28891931
PMCPMC5622758
OpenAlexW2751098282

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.