Evidence map›Paper›PMID 32219697›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2020

Study on the Pharmacokinetics of Diazepam and Its Metabolites in Blood of Chinese People.

Le-le Wang, Xin-Xin Ren, Yi He, Guan-Feng Cui, Zhi-Wen Wei, Juan Jia, Jie Cao, Yao Liu, Bin Cong, Yong Niu and 1 more

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In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Le-le WangSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Xin-Xin RenInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Yi HeInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Guan-Feng CuiInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Zhi-Wen WeiSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Juan JiaSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Jie CaoSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Yao LiuSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Bin CongSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
Yong NiuDepartment of Criminal, The Ministry of Public Security, Beijing, 100038, China. niuyong770204@163.com.
Ke-Ming YunSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China. yunkeming5142@163.com.
Shanxi Medical University · CNInstitute of Forensic Science · CNMinistry of Public Security of the People's Republic of China · CN

Funding

CSRD VA 1National Key Technology R & D Program of China (2007BAK26B05 and 2012BAK02B02) 000National Key Technology R & D Program of China (2007BAK26B05 and 2012BAK02B02) 960National Science and Technology Special Project Work (SQ2015FYJ010051) 000National Science and Technology Special Project Work (SQ2015FYJ010051) 300NSFC (81172906) 000NSFC (81172906) 450
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDriving under the influence of diazepam is increasing in China. The pharmacokinetics of diazepam and its metabolites, especially the glucuronide metabolites, are helpful in the identification of diazepam use by drivers. This study aimed to investigate the pharmacokinetics of diazepam and its metabolites (nordazepam, oxazepam, oxazepam glucuronide and temazepam glucuronide) in the blood of Chinese people, and to provide basic data for identifying diazepam use and estimating the time of last diazepam ingestion.

methodsA total of 28 participants (14 men, 14 women) were recruited and each person received 5 mg diazepam orally. Whole blood was collected at 0 h (pre-dose), and 1 h, 2 h, 4 h, 8 h, 12 h, and 24 h, and at 2 days, 3 days, 6 days, 12 days, and 15 days post-dose. Analytes of interest were extracted via solid-phase extraction and analyzed by a liquid chromatography tandem mass spectrometry method operated in a positive multiple response monitoring mode. Pharmacokinetic parameters were analyzed by a pharmacokinetic software DAS according to the non-compartment model. The time of last diazepam use was estimated using the concentration ratios of diazepam to metabolites and metabolites to metabolites from controlled drug administration studies.

resultsThe respective time of maximum concentration, the maximum concentration and the elimination half-life of diazepam were 1.04 ± 1.00 h, 87.37 ± 31.92 ng/mL and 129.07 ± 75.00 h; of nordazepam were 133.14 ± 109.63 h, 3.80 ± 1.75 ng/mL, and 229.73 ± 236.83 h; of oxazepam were 100.29 ± 87.16 h, 1.62 ± 2.64 ng/mL, and 382.86 ± 324.58 h; of temazepam glucuronide were 44.43 ± 55.41 h, 2.08 ± 0.88 ng/mL, and 130.53 ± 72.11 h; and of oxazepam glucuronide were 66.86 ± 56.33 h, 1.10 ± 0.41 ng/mL, and 240.66 ± 170.12 h. A good correlation model was obtained from the concentration ratio of diazepam to nordazepam and the time of diazepam use, and the prediction errors were less than 20%.

conclusionsThis study provides a sensitive method to identify diazepam ingestion by monitoring diazepam and its metabolites including glucuronides, as well as to infer the time following oral consumption.

Indexed as

Administration, OralAdultAsian PeopleChinaChromatography, High Pressure LiquidDiazepamFemaleHumansHypnotics and SedativesMaleMetabolic Detoxication, Phase IMetabolic Detoxication, Phase IIModels, BiologicalSolid Phase ExtractionTandem Mass SpectrometryYoung AdultDiazepamHypnotics and Sedatives

Identifiers

PMID32219697
OpenAlexW3013817325

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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.