Evidence map›Paper›PMID 32382291›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Radix Angelica Sinensis and Radix Hedysari Ultrafiltration Extract Protects against X-Irradiation-Induced Cardiac Fibrosis in Rats.

Chengxu Ma, Xinke Zhao, Juan Chang, Huan Guo, Huiping Wei, Zhaoyuan Fu, Yingdong Li

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

7 authors at 3 institutions in 1 country.

Chengxu MaCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou 730000, China.ORCID https://orcid.org/0000-0001-6115-9806
Xinke ZhaoAffiliated Hospital of Gansu University of Chinese Medicine, Lanzhou 730000, China.
Juan ChangThe Center of Traditional Medical Diagnosis and Treatment, Gansu Provincial Hospital, Lanzhou 730000, China.
Huan GuoSchool of Basic Medical Sciences, Lan Zhou University, Lanzhou 730000, China.
Huiping WeiAffiliated Hospital of Gansu University of Chinese Medicine, Lanzhou 730000, China.
Zhaoyuan FuAffiliated Hospital of Gansu University of Chinese Medicine, Lanzhou 730000, China.
Yingdong LiCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou 730000, China.ORCID https://orcid.org/0000-0001-7184-7290
Gansu University of Traditional Chinese Medicine · CNGansu Provincial Hospital · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation-induced myocardial fibrosis (RIMF) is the main pathological change associated with radiation-induced heart toxicity after radiation therapy in patients with thoracic tumors. There is an antifibrosis effect of Radix Angelica Sinensis and Radix Hedysari (RAS-RH) ultrafiltration extract from Danggui Buxue decoction (DBD) in X-irradiation-induced rat myocardial fibrosis, and this study aimed to investigate whether that effect correlated with apoptosis and oxidative stress damage in primary rat cardiac fibroblasts; further, the potential mechanisms were also explored. In this study, we first found that the RAS-RH antifibrosis effect was associated with the upregulation of microRNA-200a and the downregulation of TGF-

Identifiers

PMID32382291
PMCPMC7191370
OpenAlexW3018139201

What OpenQuestion holds

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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 OpenQuestion graph.