Evidence map›Paper›PMID 28704915›Full record

ReviewThe Korean journal of internal medicine2017

Treatment of diabetic kidney disease: current and future targets.

Mi-Kyung Kim

Registry-linked trialAbstract readReview
In one paragraph

Review in The Korean journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03983551 (Comparing the Effect of Dipeptidyl-peptidase 4 Inhibitors and Sulfonylureas on Urinary Albumin Excretion in People With Type 2 Diabetes Mellitus), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

NCT03983551 phase4completednot on this map

Comparing the Effect of Dipeptidyl-peptidase 4 Inhibitors and Sulfonylureas on Urinary Albumin Excretion in People With Type 2 Diabetes Mellitus

TypeinterventionalSponsorChanghua Christian HospitalRan2016 to 2018Enrolled101ConditionsType 2 Diabetes Mellitus, ProteinuriaArmsDipeptidyl Peptidase 4 Inhibitor, Sulfonylurea
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Acta pharmaceutica Sinica. B · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Autophagy in diabetic nephropathy: a review.International urology and nephrology · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Lipid mediators of insulin signaling in diabetic kidney disease.American journal of physiology. Renal physiology · 2019
    Review
  19. Article
  20. Adiponectin for the treatment of diabetic nephropathy.The Korean journal of internal medicine · 2019
    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

1 author.

Mi-Kyung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease in Korea and worldwide, and is a risk factor for the development of cardiovascular complications. The conventional treatments for DKD are control of blood glucose and blood pressure levels by inhibiting the renin-angiotensin system. However, the prevalence of DKD continues to increase and additional therapies are required to prevent or ameliorate the condition. Many drugs have been, or are being, developed to target the molecular mechanisms in play in DKD. This review focuses on DVD treatment, considering current and emerging therapeutic targets and the clinical trial-based evidence.

Indexed as

Antihypertensive AgentsBlood GlucoseBlood PressureDiabetic NephropathiesDipeptidyl-Peptidase IV InhibitorsHumansAntihypertensive AgentsBlood GlucoseDipeptidyl-Peptidase IV InhibitorsDiabetesKidneyTherapeutics

Identifiers

PMID28704915
PMCPMC5511942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.