Evidence map›Paper›PMID 35644192›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2022

[Effect of improvement in antibiotic use strategy on the short-term clinical outcome of preterm infants with a gestational age of <35 weeks].

Mei-Yan Chu, Ming-Jie Wang, Jin Lin, Ge Yang, Ying Ding, Zheng-Chang Liao, Chuan-Ding Cao, Shao-Jie Yue

Abstract read
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2022. 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
–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

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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.

  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

8 authors.

Mei-Yan ChuDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Ming-Jie WangDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Jin Lin
Ge YangDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Ying DingDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Zheng-Chang LiaoDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Chuan-Ding CaoDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.
Shao-Jie YueDepartment of Neonatology, Xiangya Hospital of Central South University, Changsha 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the effect of improvement in antibiotic use strategy on the short-term clinical outcome of preterm infants with a gestational age of <35 weeks.

methodsThe medical data were retrospectively collected from 865 preterm infants with a gestational age of <35 weeks who were admitted to the Neonatal Intensive Care Unit of Xiangya Hospital of Central South University from January 1, 2014 to December 31, 2016. The improved antibiotic use strategy was implemented since January 1, 2015. According to the time of implementation, the infants were divided into three groups: pre-adjustment (January 1, 2014 to December 31, 2014;

resultsThere were no significant differences among the three groups in gestational age, proportion of small-for-gestational-age infants, sex, and method of birth (

conclusionsIt is feasible to reduce unnecessary antibiotic use by the improvement in antibiotic use strategy in preterm infants with a gestational age of <35 weeks, which can also shorten the duration of parenteral nutrition and the length of hospital stay and reduce the incidence rates of grade ≥Ⅲ IVH and LOS.

Indexed as

Infant, Newborn, DiseasesSepsisAnti-Bacterial AgentsGestational AgeHumansInfantInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalRetrospective StudiesAnti-Bacterial AgentsAntibioticsLate-onset sepsisPreterm infant

Identifiers

PMID35644192
PMCPMC9154368

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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.