Evidence map›Paper›PMID 30050593›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

Establishing a Cell-Based High-Content Screening Assay for TCM Compounds with Anti-Renal Fibrosis Effects.

Xi-Ting Wang, Xue-Jiao Sun, Cheng Li, Yi Liu, Lan Zhang, Ya-Dong Li, Qing-Hua Wu, Shi-You Li, Yu Li

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  5. Article
  6. Frontiers in neuroscience · 2022
    Review
  7. Article
  8. Article
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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.

Xi-Ting WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0002-1846-1118
Xue-Jiao SunSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0002-1887-5310
Cheng LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0001-6147-1488
Yi LiuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Lan ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0001-7156-5488
Ya-Dong LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Qing-Hua WuKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China.
Shi-You LiKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China.
Yu LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0002-9077-9294
Beijing University of Chinese Medicine · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal fibrosis is thought to be the final common pathway leading to chronic kidney disease (CKD) and end-stage renal failure. Except for renal replacement therapy, no adequate treatment regimen is available; therefore studies on the treatment of renal fibrosis have attracted significant interest. In recent years, studies have shown that traditional Chinese medicine (TCM) may represent an attractive source to produce drugs with antifibrosis effects. The aim of this study was to establish a robust cell-based high-content screening (HCS) approach to identify TCM compounds with antifibrosis effects in NRK49F cells following TGF-

Identifiers

PMID30050593
PMCPMC6046160
OpenAlexW2810116320

What OpenQuestion holds

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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.