Evidence map›Paper›PMID 32231572›Full record

ArticleFrontiers in pharmacology2020

Knowledge Mapping of

Cuncun Lu, Ming Liu, Wenru Shang, Yuan Yuan, Meixuan Li, Xiuxiu Deng, Huijuan Li, Kehu Yang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

8 authors.

Cuncun LuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Ming LiuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Wenru ShangSchool of Public Health, Fudan University, Shanghai, China.
Yuan YuanClinical College of Chinese Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, China.
Meixuan LiEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Xiuxiu DengCentral Laboratory, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Huijuan LiEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Kehu YangEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese medicine (TCM) has been widely accepted and applied worldwide, and many publications related to

methodsPublications related to AS published from 2009 to 2018 were identified and selected from the Web of Science (WoS) Core Collection on May 30, 2019 using relevant keywords. HistCite, CiteSpace, and Excel 2016 software tools were used to conduct this scientometric study.

resultsSeven hundred and sixty-seven articles (including 717 primary articles and 60 review articles) and their cited references were included and analyzed. The majority of publications (

conclusionThe present scientometric study provides an overview of the development of AS research over the previous decade using quantitative and qualitative methods, and this overview can provide references for researchers focusing on AS.

Indexed as

Angelica sinensis (Oliv.) DielsCiteSpaceHistCitescientometrictraditional Chinese medicine

Identifiers

PMID32231572
PMCPMC7082756

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.