Evidence map›Paper›PMID 30648581›Full record

ArticleJournal of food and drug analysis2019

Simultaneous quantification combined with multivariate statistical analysis of multiple chemical markers of Wu Ji Bai Feng Pill by UHPLC-MS/MS.

Sheng-Nan Duan, Wen Qi, Si-Wen Zhang, Kun-Kun Huang, Dan Yuan

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of food and drug analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Sheng-Nan DuanDepartment of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
Wen QiDepartment of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
Si-Wen ZhangDepartment of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
Kun-Kun HuangDepartment of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
Dan YuanDepartment of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
Shenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wu Ji Bai Feng Pill (WJBFP) is a traditional Chinese medicine (TCM) complex formula, which has been widely used in the treatment of various gynecological disorders. However, the quality control of multiple components in WJBFP is challengeable by using the methods applicable to analysis of several phytochemicals in single herbs or simple herbal preparations. The purpose of this study is to establish an ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry (UHPLC-MS/MS) method for the quantitative determination of 20 bioactive compounds in WJBFP. The modified chromatographic conditions were achieved on an Agilent Poroshell 120 EC-C

Indexed as

Chromatography, High Pressure LiquidDrugs, Chinese HerbalLimit of DetectionMedicine, Chinese TraditionalMultivariate AnalysisPrincipal Component AnalysisTandem Mass SpectrometryDrugs, Chinese HerbalMultivariate statistical analysisQuantificationTraditional Chinese medicineUHPLC–MS/MSWu Ji Bai Feng Pill

Identifiers

PMID30648581
PMCPMC9298634
OpenAlexW2898233608

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.