Evidence map›Paper›PMID 37475719›Full record

ReviewFrontiers in pharmacology2023

Research progress on

Chenguang Wu, Jingjing Wang, Rui Zhang, Hailing Zhao, Xin Li, Lifan Wang, Peng Liu, Ping Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Inhibitory effects of cornuside on human liver cytochrome P450 enzymes.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
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

8 authors at 3 institutions in 1 country.

Chenguang WuRenal Division, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China.
Jingjing WangRenal Division, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China.
Rui ZhangRenal Division, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China.
Hailing ZhaoChina-Japan Friendship Hospital, Beijing, China.
Xin LiChina-Japan Friendship Hospital, Beijing, China.
Lifan WangRenal Division, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China.
Peng LiuShunyi Hospital, Beijing Hospital of Traditional Chinese Medicine, Beijing, China.
Ping LiChina-Japan Friendship Hospital, Beijing, China.
Heilongjiang Academy of Sciences · CNChina-Japan Friendship Hospital · CNShunyi Hospital of Beijing Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a kidney disorder secondary to diabetes and is one of the main diabetic microvascular complications. As the number of diabetic patients grows, DN has become the leading cause of chronic kidney disease in China. Unfortunately, no definitive cure currently exists for DN. Cornus officinalis (CO), frequently utilized in clinical settings for diabetes mellitus treatment, has proven vital in both preventing and treating DN. This article explores the pathogenesis of DN and how CO and its active compounds regulate glucose and lipid metabolism, exhibit anti-inflammatory properties, inhibit oxidative stress, regulate podocytes, and manage autophagy. The mechanism and role of and its active compounds in the treatment of DN are discussed.

Indexed as

active compoundsChinese herbal medicineCornus officinalisdiabetic nephropathyresearch progress

Identifiers

PMID37475719
PMCPMC10354237
OpenAlexW4383224593

What Socratic 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 Socratic graph.