Evidence map›Paper›PMID 31484373›Full record

ArticleNutrients2019

Efficacy of Arabica Versus Robusta Coffee in Improving Weight, Insulin Resistance, and Liver Steatosis in a Rat Model of Type-2 Diabetes.

Pedram Shokouh, Per B Jeppesen, Christine B Christiansen, Fredrik B Mellbye, Kjeld Hermansen, Søren Gregersen

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. International journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Review
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

6 authors.

Pedram ShokouhDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark.ORCID 0000-0002-4514-0045
Per B JeppesenDepartment of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 165, 8200 Aarhus N, Denmark.ORCID 0000-0001-8042-7554
Christine B ChristiansenDepartment of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 165, 8200 Aarhus N, Denmark.ORCID 0000-0001-6381-5360
Fredrik B MellbyeDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark.ORCID 0000-0002-1477-1178
Kjeld HermansenDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark.
Søren GregersenDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. soeren.gregersen@aarhus.rm.dk.

Funding

Aarhus Universitets Forskningsfond unknownDanish Diabetes Acedemy UnknownInnovation Fund Denmark 1308-00028BNovo Nordisk UnknownRiisfort Fonden unknown
6 · The paper itself

Abstract

The effects of chronic coffee exposure in models of type 2 diabetes mellitus (T2D) models is scarcely studied, and the efficacy of the main coffee species has never been compared. We tested the hypothesis that long-term consumption of arabica and robusta coffee may differentially delay and affect T2D development in Zucker diabetic fatty rats. Three study groups received either chow mixed with arabica or robusta instant coffee (1.8%

Indexed as

CoffeeDiabetes Mellitus, Type 2Fatty LiverInsulin ResistanceAnimalsBlood GlucoseBody WeightHomeostasisRandom AllocationRatsRats, ZuckerBlood GlucoseCoffeecoffeegene expressioninsulin resistanceliver steatosistype 2 diabetes mellitus

Identifiers

PMID31484373
PMCPMC6770458

What OpenQuestion holds

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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.