Evidence map›Paper›PMID 37743973›Full record

ArticleJournal of analytical methods in chemistry2023

Multicomponent Analysis of Liuwei Dihuang Pills by a Single Marker Quantification Method and Chemometric Discrimination of Fingerprints.

Lin Yang, Yan Li, Yuanfang Hou, Yongfu Wu, Lihong Tan, Zhenqiang Mu, Zhaojing Zhu, Dan He

Abstract read
In one paragraph

Article in Journal of analytical methods in chemistry, 2023. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Lin YangChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0000-0003-1583-2021
Yan LiChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0000-0001-5151-8318
Yuanfang HouChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0009-0003-2347-9333
Yongfu WuTraditional Chinese Medicine Factory Co. Ltd., Taiji Group Chongqing, Chongqing 402284, China.ORCID https://orcid.org/0009-0001-5838-0355
Lihong TanChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0000-0001-5874-668X
Zhenqiang MuChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0009-0007-6952-4602
Zhaojing ZhuChongqing Pharmaceutical Preparation Engineering Technology Research Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.ORCID https://orcid.org/0000-0002-8233-0489
Dan HeChongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, China.ORCID https://orcid.org/0000-0003-1600-130X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective and comprehensive quality evaluation method for Liuwei Dihuang pills (LDP) was established by the simultaneous determination of 8 active components in LDP by the quantitative analysis of multicomponents by single marker (QAMS) method and high-performance liquid chromatography (HPLC) fingerprint combined with chemometrics. These 8 active components were determined by QAMS and the external standard method (ESM), and the quantitative results of the two methods were compared to validate the accuracy and feasibility of the QAMS method. 8 active components showed good linear relationships within their ranges, whose average recoveries were 99.7∼102.3%. No significant difference was found (

Identifiers

PMID37743973
PMCPMC10516694

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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.