Evidence map›Paper›PMID 31623633›Full record

ArticleItalian journal of pediatrics2019

Antibiotic prescriptions in Italian hospitalised children after serial point prevalence surveys (or pointless prevalence surveys): has anything actually changed over the years?

Chiara Tersigni, Carlotta Montagnani, Patrizia D'Argenio, Marzia Duse, Susanna Esposito, Yingfen Hsia, Mike Sharland, Luisa Galli

Open access · goldAbstract readComparative Study
In one paragraph

Article in Italian journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Point prevalence survey of antibiotics in a pediatric tertiary hospital in the Republic of Panama.Revista panamericana de salud publica = Pan American journal of public health · 2025
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  8. Observational
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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

8 authors at 5 institutions in 2 countries.

Chiara TersigniInstitute for Infection and Immunity, Paediatric Infectious Disease Research Group, St. George's, University of London, London, England. chia88.te@gmail.com.
Carlotta MontagnaniDepartment of Health Sciences, University of Florence, Anna Meyer Children's University Hospital, Viale Pieraccini 24, 50139, Florence, Italy.
Patrizia D'ArgenioUnit of Immune and Infectious Diseases, Academic Department of Pediatrics, Children's Hospital Bambino Gesù, Rome, Italy.
Marzia DuseDepartment of Pediatrics, La Sapienza University of Rome, Rome, Italy.
Susanna EspositoPediatric Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy.
Yingfen HsiaInstitute for Infection and Immunity, Paediatric Infectious Disease Research Group, St. George's, University of London, London, England.
Mike SharlandInstitute for Infection and Immunity, Paediatric Infectious Disease Research Group, St. George's, University of London, London, England.
Luisa GalliDepartment of Health Sciences, University of Florence, Anna Meyer Children's University Hospital, Viale Pieraccini 24, 50139, Florence, Italy.
St George's, University of London · GBUniversity of Florence · ITBambino Gesù Children's Hospital · ITSapienza University of Rome · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoint prevalence surveys have been used in several studies to provide immediate and easily comparable information about antibiotic use and showed that about one third of hospitalised children had on ongoing antimicrobial prescription during their hospital admission. The aim of this study, as part of the Global Antimicrobial Resistance, Prescribing and Efficacy in Neonates and Children project, is to describe antimicrobial prescriptions among hospitalised children in four tertiary care hospitals in Italy to show if something has changed over the years.

methodsFour tertiary care Italian's hospitals joined three Point Prevalence Surveys (PPSs) in three different period of the year. All children under 18 years of age with an ongoing antimicrobial prescription, admitted on the participating wards at 8 o'clock in the morning of the selecting day were enrolled.

resultsA total of 1412 patients (475 neonates and 937 children) were admitted in the days of three PPSs. Overall, among the total admitted patients, 565 patients (40%) had an ongoing antimicrobial prescription in the days of the survey A total of 718 antibiotics were administered in the 485 admitted children and 133 in neonates. The most common indications for antibiotic therapy in children was Lower respiratory tract infections (244/718, 34%), while in neonates were prophylaxis for medical problems (35/133, 26.3%), newborn prophylaxis for newborn risk factors (29/133, 21.8%) and prophylaxis for surgical disease (15/133, 11.3%).

conclusionsBased on our results, it appears that nothing has changed since the last PPS and that the quality improved targets, underlyined in previous studies, are always the same. Serial PPSs can be part of AMS strategies but they are not sufficient alone to produce changes in clinical practice.

Indexed as

Child, HospitalizedAnti-Bacterial AgentsChildChild, PreschoolDrug PrescriptionsDrug Utilization ReviewHumansInfantInfant, NewbornItalyPractice Patterns, Physicians'Surveys and QuestionnairesAnti-Bacterial AgentsAntimicrobialsAntimicrobial stewardshipChildrenPoint prevalence surveys

Identifiers

PMID31623633
PMCPMC6798353
OpenAlexW2980326206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.