Evidence map›Paper›PMID 30915142›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2019

Cryptotanshinone Ameliorates Radiation-Induced Lung Injury in Rats.

Yifang Jiang, Fengming You, Jie Zhu, Chuan Zheng, Ran Yan, Jinhao Zeng

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Experimental and therapeutic medicine · 2023
    Review
  8. Article
  9. Article
  10. The roles of CC chemokines in response to radiation.Radiation oncology (London, England) · 2022
    Review
  11. Review
  12. Review
  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

6 authors at 1 institution in 1 country.

Yifang JiangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Fengming YouSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Jie ZhuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Chuan ZhengCancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Ran YanCancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.ORCID 0000-0003-4722-432X
Jinhao ZengSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.ORCID 0000-0002-5860-3790
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptotanshinone (CTS) was reported to repress a variety of systemic inflammation and alleviate cardiac fibrosis, but it is still unclear whether CTS could prevent radiation-induced lung injury (RILI). Here, we investigated the effects and underlying mechanisms of CTS on a RILI rat model. Our data revealed that CTS could efficiently preserve pulmonary function in RILI rats and reduce early pulmonary inflammation infiltration elicited, along with marked decreased levels of IL-6 and IL-10. Moreover, we found that CTS is superior to prednisone in attenuating collagen deposition and pulmonary fibrosis, in parallel with a marked drop of HYP (a collagen indicator) and

Identifiers

PMID30915142
PMCPMC6402207
OpenAlexW2915941881

What OpenQuestion 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 OpenQuestion graph.