Evidence map›Paper›PMID 31781287›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2019

Chaihu-Shugan-San Reinforces CYP3A4 Expression via Pregnane X Receptor in Depressive Treatment of Liver-Qi Stagnation Syndrome.

Zehui He, Rong Fan, Chunhu Zhang, Tao Tang, Xu Liu, Jiekun Luo, Hanjin Cui, Yang Wang, Ruohuang Lu, Pingping Gan

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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, 21 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Zehui HeLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.
Rong FanLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.
Chunhu ZhangLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.ORCID https://orcid.org/0000-0001-8829-3319
Tao TangLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.ORCID https://orcid.org/0000-0002-4642-4314
Xu LiuDepartment of Integrated Chinese and Western Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.
Jiekun LuoLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.ORCID https://orcid.org/0000-0002-9622-533X
Hanjin CuiLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.
Yang WangLaboratory of Ethnopharmacology, Institute of Integrative Chinese Medicine, Xiangya Hospital, Central South University, 410008 Changsha, China.ORCID https://orcid.org/0000-0003-0447-3107
Ruohuang LuDepartment of Stomatology, Third Xiangya Hospital, Central South University, 410008 Changsha, China.
Pingping GanDepartment of Oncology, Xiangya Hospital, Central South University, 410008 Changsha, China.ORCID https://orcid.org/0000-0002-9765-1322
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID31781287
PMCPMC6875207
OpenAlexW2984528345

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.