Evidence map›Paper›PMID 37737077›Full record

SynthesisIndian journal of pharmacology

Protective effects of ginsenosides in cisplatin-induced kidney injury: A systematic review, meta-analysis.

Xinyi Luo, Dengpiao Xie, Ziwei Chen, Qing Ji

Open access · hybridAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Indian journal of pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Xinyi LuoChengdu Medical College, Chengdu, Sichuan, China.
Dengpiao XieDepartment of Kidney, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Ziwei ChenDepartment of Kidney, Chengdu First People's Hospital, Chengdu, Sichuan, China.
Qing JiDepartment of Kidney, Chengdu First People's Hospital, Chengdu, Sichuan, China.
Chengdu Medical College · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although evidence suggests ginsenosides, the primary active and distinctive components of ginseng, have beneficial effects in cisplatin-induced nephrotoxicity, their efficacy and protective mechanisms remain unclear. The aim of the current meta-analysis is to study the effectiveness and mechanisms of ginsenosides in a model of nephrotoxicity induced by cisplatin. Preclinical investigations were conducted in the search of various databases including Medline, Web of Science, Google, CNKI, Embase, and the Wanfang database. 12 studies with 216 animals were included in this review. Stata 15.0 and RevMan 5.3 were used for statistical analyses. The pooled results showed that ginsenosides significantly improved kidney function, and inhibited histological damage. The protective mechanism of ginsenosides is associated with its antioxidative stress, anti-inflammation, anti-apoptosis, and anti-autophagy. The results of our study indicate that ginsenosides have the potential to mitigate nephrotoxicity induced by cisplatin through the modulation of various targets and pathways. Consequently, ginsenosides hold promise as therapeutic agents for the clinical management and prevention of cisplatin-induced nephrotoxicity.

Indexed as

CisplatinGinsenosidesAnimalsKidneyOxidative StressCisplatinGinsenosidesCisplatinginsenosideskidney injurymeta-analysispreclinical study

Identifiers

PMID37737077
PMCPMC10657623
OpenAlexW4386585581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.