Evidence map›Paper›PMID 24348712›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2013

Curcumin and diabetes: a systematic review.

Dong-Wei Zhang, Min Fu, Si-Hua Gao, Jun-Li Liu

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

Review in Evidence-based complementary and alternative medicine : eCAM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 2% 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

116 citing papers in PubMed, 4 syntheses or guidelines pooled it, 370 citations in OpenAlex.

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  11. Phytochemical and Preliminary Biological Evaluation ofPharmaceuticals (Basel, Switzerland) · 2026
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56 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 2 institutions in 2 countries.

Dong-Wei ZhangDiabetes Research Center, Beijing University of Chinese Medicine, Beijing 100029, China.
Min FuFraser Lab for Diabetes Research, McGill University Health Center, Montreal, Canada H3A 1A1.
Si-Hua GaoDiabetes Research Center, Beijing University of Chinese Medicine, Beijing 100029, China.
Jun-Li LiuFraser Lab for Diabetes Research, McGill University Health Center, Montreal, Canada H3A 1A1.
Beijing University of Chinese Medicine · CNMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Turmeric (Curcuma longa), a rhizomatous herbaceous perennial plant of the ginger family, has been used for the treatment of diabetes in Ayurvedic and traditional Chinese medicine. The active component of turmeric, curcumin, has caught attention as a potential treatment for diabetes and its complications primarily because it is a relatively safe and inexpensive drug that reduces glycemia and hyperlipidemia in rodent models of diabetes. Here, we review the recent literature on the applications of curcumin for glycemia and diabetes-related liver disorders, adipocyte dysfunction, neuropathy, nephropathy, vascular diseases, pancreatic disorders, and other complications, and we also discuss its antioxidant and anti-inflammatory properties. The applications of additional curcuminoid compounds for diabetes prevention and treatment are also included in this paper. Finally, we mention the approaches that are currently being sought to generate a "super curcumin" through improvement of the bioavailability to bring this promising natural product to the forefront of diabetes therapeutics.

Identifiers

PMID24348712
PMCPMC3857752
OpenAlexW1975591344

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.