Evidence map›Paper›PMID 38141837›Full record

ArticleInternational journal of antimicrobial agents2024

The changes of different restriction level adjustments on antibiotic use in China.

Kexin Du, Haishaerjiang Wushouer, Tao Huang, Yue Zhou, Lin Hu, Yaoyao Yang, Yanping Deng, Bo Zheng, Xiaodong Guan, Luwen Shi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of antimicrobial agents, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. 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

10 authors.

Kexin DuDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Haishaerjiang WushouerDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China; International Research Center for Medicinal Administration (IRCMA), Peking University, Beijing, China.
Tao HuangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Yue ZhouDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Lin HuDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Yaoyao YangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Yanping DengDepartment of Clinical Pharmacology, National Institute on Drug Dependence, Peking University, Beijing, China.
Bo ZhengInstitute of Clinical Pharmacology, Peking University First Hospital, Beijing, China.
Xiaodong GuanDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China; International Research Center for Medicinal Administration (IRCMA), Peking University, Beijing, China. Electronic address: guanxiaodong@pku.edu.cn.
Luwen ShiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China; International Research Center for Medicinal Administration (IRCMA), Peking University, Beijing, China.

Funding

Medical Research Council MR/S013717/1
6 · The paper itself

Abstract

This quasi-experimental study aimed to investigate the changes in antibiotic use tailored by adjusting provincial antibiotic restriction lists in China using interrupted time-series analysis from 2013 to 2019. Antibiotic use was assessed as defined daily dose (DDD) per 1000 patients per day. Trends and level changes were analysed with segmented regression. The study identified 19 antibiotic formulations in four provinces with adjusted restriction levels (intervention group) and 110 formulations in the rest provinces without adjustments (comparison group). Antibiotics restriction level changed between two categories: (1) between 'highly-restricted' and 'restricted' and (2) between 'restricted' and 'non-restricted'. Analysis revealed distinct trend changes for antibiotics moving between 'highly-restricted' and 'restricted' (β = 0.0211, P = 0.003) and 'restricted' to 'highly-restricted' (β = -0.0039, P = 0.128) compared to the comparison group. After a 2-y adjustment period, when moving from 'restricted' to 'highly-restricted', absolute antibiotic utilisation significantly decreased (P < 0.001), with a relative decrease of 100.8% (P < 0.001) compared to the comparison group. Besides, individual antibiotics with higher consumption displayed greater responsiveness to adjustment. These findings underscore the changes in restriction level adjustments on antibiotics, highlighting antibiotic restriction list policies as crucial tools for antimicrobial stewardship.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipChinaHumansInterrupted Time Series AnalysisAnti-Bacterial AgentsAntibiotic clinical useAntibiotic restriction listsAntimicrobial stewardshipChinaInterrupted time-series analysis

Identifiers

PMID38141837
PMCPMC10879917

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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.