Evidence map›Paper›PMID 31398884›Full record

ReviewNutrients2019

Curcumin and Type 2 Diabetes Mellitus: Prevention and Treatment.

Francesca Pivari, Alessandra Mingione, Caterina Brasacchio, Laura Soldati

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 7 pooled it
13.0field-weighted citation impact, top 1% 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

153 citing papers in PubMed, 7 syntheses or guidelines pooled it, 361 citations in OpenAlex.

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  19. [Curcumin improves osteoporosis in type 2 diabetic mice by inhibiting RANBP3L expression].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
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93 more citing papers are in PubMed but not listed here.

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.

Francesca PivariDepartment of Health Sciences, University of Milan, Via A. Di Rudinì, 8, 20142 Milan, Italy. francesca.pivari@unimi.it.ORCID 0000-0002-2277-6833
Alessandra MingioneDepartment of Health Sciences, University of Milan, Via A. Di Rudinì, 8, 20142 Milan, Italy.
Caterina BrasacchioDepartment of Health Sciences, University of Milan, Via A. Di Rudinì, 8, 20142 Milan, Italy.
Laura SoldatiDepartment of Health Sciences, University of Milan, Via A. Di Rudinì, 8, 20142 Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is an ensemble of metabolic diseases that has reached pandemic dimensions all over the world. The multifactorial nature of the pathology makes patient management, which includes lifelong drug therapy and lifestyle modification, extremely challenging. It is well known that T2DM is a preventable disease, therefore lowering the incidence of new T2DM cases could be a key strategy to reduce the global impact of diabetes. Currently, there is growing evidence on the efficacy of the use of medicinal plants supplements for T2DM prevention and management. Among these medicinal plants, curcumin is gaining a growing interest in the scientific community. Curcumin is a bioactive molecule present in the rhizome of the

Indexed as

AnimalsClinical Trials as TopicCurcumaCurcuminDiabetes Mellitus, Type 2HumansHypoglycemic AgentsPhytotherapyPlant ExtractsPlants, MedicinalCurcuminHypoglycemic AgentsPlant Extractsturmeric extractantioxidant activityclinical trialscurcumininflammationtype 2 diabetes mellitus

Identifiers

PMID31398884
PMCPMC6723242
OpenAlexW2964485240

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.