Evidence map›Paper›PMID 33496870›Full record

Trial reportPharmaceutical research2021

Effects of Different Component Contents of Colistin Methanesulfonate on the Pharmacokinetics of Prodrug and Formed Colistin in Human.

Ya-Xin Fan, Yuan-Cheng Chen, Yi Li, Ji-Cheng Yu, Xing-Chen Bian, Xin Li, Wan-Zhen Li, Bei-Ning Guo, Hai-Lan Wu, Xiao-Fen Liu and 11 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Pharmaceutical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

21 authors at 3 institutions in 1 country.

Ya-Xin Fan *Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Yuan-Cheng Chen *Key Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Yi LiInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Ji-Cheng YuKey Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Xing-Chen BianInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xin LiInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Wan-Zhen LiInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Bei-Ning GuoInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Hai-Lan WuInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xiao-Fen LiuInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Yu WangInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xiao-Yong XuInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jia-Li HuInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jing-Jing WangKey Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Xiao-Jie WuKey Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Guo-Ying CaoKey Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Ju-Fang WuKey Laboratory of Clinical Pharmacology of Antibiotics, National Population and Family Planning Commission, Shanghai, 200040, China.
Chun-Jia XueShanghai Institute of Pharmaceutical Industry, Shanghai, 201203, China.
Jun FengShanghai Institute of Pharmaceutical Industry, Shanghai, 201203, China.
Ying-Yuan ZhangInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jing ZhangInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China. zhangj_fudan@aliyun.com.ORCID http://orcid.org/0000-0003-2966-9149
Fudan University · CNShanghai Institute of Pharmaceutical Industry · CNNational Health and Family Planning Commission · CN

Funding

National Major Science and Technology Projects of China 2017ZX09304005
6 · The paper itself

Abstract

purposesTo evaluate the effects of component contents in different colistin methanesulfonate (CMS) formulas on their clinical pharmacokinetics of the prodrug CMS and the formed colistin.

methodsTwo CMS formulas (CTTQ and Parkedale) were investigated in a single dose, randomized, open-label, crossover study conducted in 18 healthy Chinese subjects. Both CMS formulas met the requirements of European Pharmacopoeia 9.2 with 12.1% difference in the two major active components (CMS A and CMS B). The PK parameters after a single intravenous infusion of CMS at 2.5 mg/kg were calculated and the steady-state plasma colistin concentrations (C

resultsThe systemic exposure (AUC

conclusionThe difference in component content in the two CMS formulas had a significant (P < 0.001) impact on the systemic exposure of colistin in human, thus, warranted essential considerations in clinical applications.

Indexed as

AdultAnti-Bacterial AgentsColistinCross-Over StudiesDrug CompoundingFemaleHealthy VolunteersHumansInfusions, IntravenousMaleProdrugsYoung AdultAnti-Bacterial AgentsColistinProdrugscolistincolistin methanesulfonatecomponent contentpharmacokinetics

Identifiers

PMID33496870
OpenAlexW3125635956

What OpenQuestion holds

Textmetadata
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.