Evidence map›Paper›PMID 35190746›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Shen-Shuai-Ling Formulation Attenuates Renal Interstitial Fibrosis in Chronic Kidney Disease by Regulating SHH-Gli1 Signaling Pathway.

Ying Li, Haitao Tu, Yan Luo, Weijian Xiong, Hong Liu, Yanying Xiong, Qin Zhang, Huihui Li, Xuan Gao

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Ying LiDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
Haitao TuDepartment of Nephrology, The First Clinical Hospital of Guangzhou Medical University, Guangzhou 510405, China.
Yan LuoDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.ORCID https://orcid.org/0000-0003-2145-4020
Weijian XiongDepartment of Nephrology, The First Clinical Hospital of Guangzhou Medical University, Guangzhou 510405, China.ORCID https://orcid.org/0000-0001-6920-1909
Hong LiuDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
Yanying XiongDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
Qin ZhangDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
Huihui LiDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
Xuan GaoDepartment of Nephrology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China.
First People's Hospital of Chongqing · CNFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShen-Shuai-Ling Formulation (SSLF) has apparent effects on improving renal function, delaying the progression of chronic kidney disease (CKD).

methodsFifty male SD rats were randomly divided into 5 groups: Sham group, Model group, SSLF group, CPN group, and C + S group. The morphological changes and the collagen fibers of the rat kidneys were observed by HE staining. The expression of

resultsCompared with the Model group, the fibrosis in SSLF, CPN, and C + S groups was significantly alleviated. And, compared with those in the Model group, the expression of

conclusionsSSLF remarkably improves renal function and alleviates renal interstitial fibrosis in UUO rats.

Identifiers

PMID35190746
PMCPMC8858066
OpenAlexW4211210181

What OpenQuestion holds

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Registered trials

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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.