Evidence map›Paper›PMID 33188451›Full record

SynthesisEuropean journal of clinical pharmacology2021

Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients.

Xueting Yao, Xiaoyu Yan, Xiaohan Wang, Ting Cai, Shun Zhang, Cheng Cui, Xiaoxu Wang, Zhe Hou, Qi Liu, Haiyan Li and 3 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in European journal of clinical pharmacology, 2021. 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
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

13 authors at 4 institutions in 2 countries.

Xueting Yao *Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Xiaoyu Yan *School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region, 999077, China.
Xiaohan Wang *Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Ting Cai *Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, HwaMei Hospital, University of Chinese Academy of Sciences (Ningbo No.2 Hospital), Ningbo, 315010, China.
Shun Zhang *Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, HwaMei Hospital, University of Chinese Academy of Sciences (Ningbo No.2 Hospital), Ningbo, 315010, China.
Cheng CuiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Xiaoxu WangDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Zhe HouDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Qi LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Haiyan LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Jing LinKey Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, HwaMei Hospital, University of Chinese Academy of Sciences (Ningbo No.2 Hospital), Ningbo, 315010, China.
Zi XiongKey Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, HwaMei Hospital, University of Chinese Academy of Sciences (Ningbo No.2 Hospital), Ningbo, 315010, China.
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China. liudongyang@vip.sina.com.ORCID http://orcid.org/0000-0002-0608-8192
Peking University · CNNingbo No. 2 Hospital · CNChina Pharmaceutical University · CNChinese University of Hong Kong · HK

Funding

Bill & Melinda Gates Foundation No. INV-015694
6 · The paper itself

Abstract

aimsChloroquine (CQ) has been repurposed to treat coronavirus disease 2019 (COVID-19). Understanding the pharmacokinetics (PK) in COVID-19 patients is essential to study its exposure-efficacy/safety relationship and provide a basis for a possible dosing regimen optimization. SUBJECT AND

methodsIn this study, we used a population-based meta-analysis approach to develop a population PK model to characterize the CQ PK in COVID-19 patients. An open-label, single-center study (ethical review approval number: PJ-NBEY-KY-2020-063-01) was conducted to assess the safety, efficacy, and pharmacokinetics of CQ in patients with COVID-19. The sparse PK data from 50 COVID-19 patients, receiving 500 mg CQ phosphate twice daily for 7 days, were combined with additional CQ PK data from 18 publications.

resultsA two-compartment model with first-order oral absorption and first-order elimination and an absorption lag best described the data. Absorption rate (ka) was estimated to be 0.559 h

conclusionModel-based simulation using PK parameters from the COVID-19 patients shows that the concentrations under the currently recommended dosing regimen are below the safety margin for side-effects, which suggests that these dosing regimens are generally safe. The derived population PK model should allow for the assessment of pharmacokinetics-pharmacodynamics (PK-PD) relationships for CQ when given alone or in combination with other agents to treat COVID-19.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningModels, BiologicalAdministration, OralAdultAgedChloroquineCOVID-19Dose-Response Relationship, DrugDrug Administration ScheduleFemaleGastrointestinal AbsorptionHumansMaleMetabolic Clearance RateMiddle AgedChloroquinechloroquine diphosphateChloroquineCoronavirus disease 2019Population pharmacokinetics

Identifiers

PMID33188451
PMCPMC7665884
OpenAlexW3100787370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.