Evidence map›Paper›PMID 34108013›Full record

ArticleBMC chemistry2021

Simultaneous determination of five diuretic drugs using quantitative analysis of multiple components by a single marker.

Fuchao Chen, Baoxia Fang, Peng Li, Sicen Wang

Open access · goldAbstract read
In one paragraph

Article in BMC chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 3 institutions in 1 country.

Fuchao Chen *Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, People's Republic of China.
Baoxia Fang *Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, People's Republic of China.
Peng LiSinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, People's Republic of China.
Sicen WangSchool of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, Shanxi, People's Republic of China. wangsc@mail.xjtu.edu.cn.
China National Pharmaceutical Group Corporation (China) · CNDongfeng General Hospital · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoop diuretics are commonly used in clinical practice to manage high fluid loads and to control fluid balance. In this paper, a novel quantitative analysis method for multiple components with a single marker (QAMS) was developed for the simultaneous determination of 5 diuretic drugs furosemide, torasemide, azosemide, etacrynic acid, and bumetanide, by HPLC. Qualitative analysis was performed using relative retention time and ultraviolet (UV) spectral similarity as the double indicator. The QAMS method was conducted with etacrynic acid as an internal reference substance. The quantities of the other four diuretics were calculated by using the relative correction factors for etacrynic acid. The quantities of the 5 diuretic drugs were also determined by the external standard method (ESM). Chromatographic separation was achieved on a Shimadzu HC-C

resultsUnder these conditions, the 5 diuretic drugs were well separated, showing linear relationships within certain ranges. The quantitative results showed that there was no significant difference between the QAMS and ESM methods.

conclusionsOverall, the HPLC-QAMS analytical scheme established in this study is a simple, efficient, economical, and accurate method for the quantitative evaluation of 5 diuretic drugs.

Indexed as

Diuretic drugHPLCMethod developmentMulti-components detection with a single marker

Identifiers

PMID34108013
PMCPMC8191180
OpenAlexW3168330872

What OpenQuestion holds

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LicenceCC BY
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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.