Evidence map›Paper›PMID 29163178›Full record

ReviewFrontiers in pharmacology2017

NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes.

Sachin V Suryavanshi, Yogesh A Kulkarni

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 4 pooled it
6.7field-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

182 citing papers in PubMed, 4 syntheses or guidelines pooled it, 340 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Combined Omeprazole andInternational journal of molecular sciences · 2026
    Article
  9. Investigating the Antidiabetic Effects ofFood science & nutrition · 2026
    Article
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  11. Review
  12. Multi-target healing mechanisms ofAvicenna journal of phytomedicine · 2026
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122 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

2 authors at 1 institution in 1 country.

Sachin V SuryavanshiShobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India.
Yogesh A KulkarniShobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India.
Narsee Monjee Institute of Management Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a metabolic disorder affecting large percentage of population worldwide. NF-κβ plays key role in pathogenesis of vascular complications of diabetes. Persistent hyperglycemia activates NF-κβ that triggers expression of various cytokines, chemokines and cell adhesion molecules. Over-expression of TNF-α, interleukins, TGF-β, Bcl2 and other pro-inflammatory proteins and pro-apoptotic genes by NF-κβ is key risk factor in vascular dysfunction. NF-κβ over-expression also triggers calcification of endothelial cells leading to endothelial dysfunction and further vascular complications. Inhibition of NF-κβ pro-inflammatory pathway is upcoming novel target for management of vascular complications of diabetes. Various natural and synthetic inhibitors of NF-κβ have been studied in management of diabetic complications. Recent preclinical and clinical studies validate NF-κβ as promising target in the management of vascular complications of diabetes.

Indexed as

cardiomyopathydiabetic complicationsinflammationnephropathyneuropathyNF-κβNF-κβ inhibitorsretinopathy

Identifiers

PMID29163178
PMCPMC5681994
OpenAlexW2767589056

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.