Evidence map›Paper›PMID 36199600›Full record

ArticleRSC advances2022

Determination of 12 anti-obesity drugs in human plasma by a 96-well protein precipitation plate using HPLC-MS.

Tengteng Ping, Min Zheng, Pingping Zhang, Tianhao Yan, Xufeng Miao, Ke Wang, Kaoqi Lian

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Tengteng PingSchool of Public Health, Hebei Medical University Shijiazhuang 050017 China liankq@hebmu.edu.cn.
Min ZhengJinan Centre for Disease Control and Prevention Jinan 250000 China.
Pingping ZhangDepartment of Reproductive Genetic Family, Hebei General Hospital Shijiazhuang Hebei 050000 China.
Tianhao YanSchool of Public Health, Hebei Medical University Shijiazhuang 050017 China liankq@hebmu.edu.cn.
Xufeng MiaoPhysical Education Department, Hebei Medical University Shijiazhuang 050017 China wkecdc@163.com.
Ke WangShijiazhuang Centre for Disease Control and Prevention Shijiazhuang 050011 China.
Kaoqi LianSchool of Public Health, Hebei Medical University Shijiazhuang 050017 China liankq@hebmu.edu.cn.ORCID https://orcid.org/0000-0003-4876-2568
Hebei Medical University · CNHebei General Hospital · CNHebei Provincial Center for Disease Control and Prevention · CNShandong Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An analytical method was developed and validated for the simultaneous determination of 12 anti-obesity drugs (methylephedrine (MER), amphetamine (AMP), fenfluramine (FEN), bupropion (BUP), fluoxetine (FLU), sibutramine (SIBU), bisacodyl (BISA), bumetanide (BUM), lovastatin (LOVA), simvastatin (SIM), rimonabant (RIMO), and fenofibrate (FENO)) in human plasma by a 96-well protein precipitation plate combined with high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS). The 96-well protein precipitation plate was chosen for simultaneous pretreatment of large sample volumes, making the whole process more efficient and faster. Drugs were separated on an Agilent Poroshell 120 EC-C18 column, and detected by MS/MS under multiple reaction monitoring (MRM) mode. The developed method was validated in terms of linearity, matrix effect, accuracy and precision. A good linearity was obtained in the range of 0.1-20.0 ng mL

Identifiers

PMID36199600
PMCPMC9469181
OpenAlexW4295402503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.