Evidence map›Paper›PMID 34155950›Full record

ArticlePharmaceutical biology2021

Simiao Qingwen Baidu decoction inhibits Epstein-Barr virus-induced B lymphoproliferative disease and lytic viral replication.

Xianhui Yang, Lingling Liu, Huijuan Zhang, Xiaoxu Sun, Yongbin Yan, Ruiying Ran

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutical biology, 2021. 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
0.1field-weighted citation impact, top 54% 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, 2 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

6 authors at 2 institutions in 1 country.

Xianhui YangGraduate School, Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
Lingling LiuPediatric Zone 5, First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
Huijuan ZhangPediatric Zone 5, First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
Xiaoxu SunPediatric Zone 5, First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
Yongbin YanPediatric Zone 5, First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
Ruiying RanGraduate School, Henan University of Traditional Chinese Medicine, Zhengzhou, PR China.
First Affiliated Hospital of Henan University of Traditional Chinese Medicine · CNHenan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSimiao Qingwen Baidu decoction (SQBD), a traditional Chinese medicine prescription, can ameliorate Epstein-Barr virus (EBV) induced disease. However, its mechanism still remains unknown.

objectiveTo detect the mechanism of SQBD in EBV-induced B lymphoproliferative disease MATERIALS AND

methodsSprague-Dawley (SD) rats (

resultsWe found that IC

conclusionsOur data confirmed that SQBD inhibits EBV-induced B lymphoproliferative disease and lytic viral replication. This work provides a theoretical basis for the mechanism of SQBD in EBV-induced B lymphoproliferative disease, and SQBD may be an effectively therapeutic drug for EBV-induced B lymphoproliferative disease.

Indexed as

AnimalsB-LymphocytesDrugs, Chinese HerbalEpstein-Barr Virus InfectionsHerpesvirus 4, HumanLymphoproliferative DisordersMaleRatsRats, Sprague-DawleyVirus ReplicationDrugs, Chinese Herbalqingwen baiduapoptosisCGM1 cellsProliferation

Identifiers

PMID34155950
PMCPMC8221142
OpenAlexW3176419319

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.