Evidence map›Paper›PMID 33845771›Full record

ArticleBMC infectious diseases2021

Antibiotic prescriptions for children younger than 5 years with acute upper respiratory infections in China: a retrospective nationwide claims database study.

Fengxia Xue, Baoping Xu, Adong Shen, Kunling Shen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  5. Drug Prescription Indicators in Outpatient Services in Social Security Organization Facilities in Iran.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
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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

4 authors at 2 institutions in 1 country.

Fengxia XueNational Clinical Research Center for Respiratory Diseases, Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Baoping XuNational Clinical Research Center for Respiratory Diseases, Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Adong ShenBeijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Kunling ShenNational Clinical Research Center for Respiratory Diseases, Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. kunlingshen1717@163.com.
Beijing Children’s Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, there were few studies to estimate antibiotic use for children with upper respiratory infections at the national level. The aim of this study was to describe the antibiotic prescribing practice for children aged < 5 years old with upper respiratory infections (URIs) using a nationwide claims database.

methodsThis was a retrospective cross-sectional study using a sampled database from the China Health Insurance Research Association (CHIRA). Study subjects included children younger than 5 years with outpatient visits in 2015 that resulted in a diagnosis of a upper respiratory infection. We calculated the percentage of visits who received antibiotics, the proportion of injection formulations, the percentage of combined antibiotics and the proportion of each antibiotic class. The patterns of antibiotic prescription were also described by medical institution type, city level and geographical region.

resultsAmong the 92,821 visits, 27.1% were prescribed antibiotics, of which 27.0% received injection formulations. The rate of antibiotic prescribing varied by age group (P < 0.001), with the lowest (16.0%) in infants and the highest in patients at age 3 to < 4 years (29.9%) and age 4 to < 5 years (32.5%). The Midwestern region, underdeveloped cities and low-level hospitals represented relatively higher rates of prescribing antibiotics (P < 0.001) and higher proportions of injection dosage forms (P < 0.001). The most 3 common antibiotic classes prescribed of all visits with antibiotic prescriptions were the third-generation cephalosporins (34.9%), macrolides (24.3%), and the second-generation cephalosporins (23.3%).

conclusionsIn mainland China, the overall rate of antibacterial prescribing and the proportion of injection formulations prescribed in children under 5 years with URIs were at a low level, but still higher in underdeveloped regions and cities. Moreover, the overuse of the second and third generation cephalosporins, macrolides, remains a serious issue. Further efforts should be focused on reducing those non-first-line antibiotic prescribing and narrowing the gaps among regions and cities.

Indexed as

Anti-Bacterial AgentsChild, PreschoolChinaCross-Sectional StudiesDatabases, FactualDrug PrescriptionsFemaleHumansInfantMaleRespiratory Tract InfectionsRetrospective StudiesAnti-Bacterial AgentsAntibiotic prescriptionChildrenChinaUpper respiratory infections

Identifiers

PMID33845771
PMCPMC8040226
OpenAlexW3155264619

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.