Evidence map›Paper›PMID 30581484›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

An Investigation of the Prescription Patterns of Chinese Herbal Products for Chronic Glomerulonephritis Patients: A Hospital-Based Cross-Sectional Study.

Wen Chen, Hsing-Yu Chen, Yao-Hsu Yang, Sien-Hung Yang, Ching-Wei Yang, You-Hung Wu, Jiun-Liang Chen

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 20 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

7 authors at 3 institutions in 1 country.

Wen ChenDivision of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Hsing-Yu ChenDivision of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Yao-Hsu YangDepartment for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Chia-Yi, Taiwan.ORCID 0000-0002-8080-0504
Sien-Hung YangDivision of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Ching-Wei YangDivision of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
You-Hung WuGraduate Institute of Acupuncture Science, College of Medicine, China Medical University, Taichung, Taiwan.
Jiun-Liang ChenDivision of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID 0000-0002-9714-2771
Chang Gung University · TWChina Medical University · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) has a high incidence and prevalence worldwide, and chronic glomerulonephritis (CGN) is one of the main causes of CKD. Therefore, it is important to diagnose and treat CGN early. The purpose of this study is to analyze the prescription patterns and frequencies of Chinese herbal products (CHPs) for CGN by using a hospital-based database from the Chang Gung Memorial Hospital (CGMH), a large, tertiary hospital system in Taiwan, and to evaluate the safety and possible efficacy of CHPs by blood test. The International Classification of Disease Ninth Revision (ICD-9) code 582 was used to identify patients with CGN. From 2004 to 2015, a total of 54726 CHP prescriptions for CGN were provided. Association rule mining was used to analyze the prevalent of CHP combination patterns in treating CGN. Jia-Wei-Xiao-Yao-San (JWXYS) and

Identifiers

PMID30581484
PMCPMC6276402
OpenAlexW2900868145

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Registered trials

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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.