Evidence map›Paper›PMID 33933164›Full record

ArticleAntimicrobial resistance and infection control2021

Development of a Weighted-Incidence Syndromic Combination Antibiogram (WISCA) to guide the choice of the empiric antibiotic treatment for urinary tract infection in paediatric patients: a Bayesian approach.

Elisa Barbieri, Daniele Bottigliengo, Matteo Tellini, Chiara Minotti, Mara Marchiori, Paola Cavicchioli, Dario Gregori, Carlo Giaquinto, Liviana Da Dalt, Daniele Donà

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 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
1.2field-weighted citation impact, top 21% 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, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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 at 2 institutions in 1 country.

Elisa BarbieriDivision of Paediatric Infectious Diseases- Department of Women's and Children's Health, University of Padova, Padova, Italy. elisa.barbieri@unipd.it.ORCID http://orcid.org/0000-0003-0850-8784
Daniele BottigliengoDepartment of Cardiac, Thoracic and Vascular Sciences, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy.
Matteo TelliniPaediatric Emergency Unit - Department of Women's and Children's Health, University of Padova, Padova, Italy.
Chiara MinottiPaediatric Emergency Unit - Department of Women's and Children's Health, University of Padova, Padova, Italy.
Mara MarchioriDepartment of Paediatrics, Ospedale Dell'Angelo, Mestre, Venice, Italy.
Paola CavicchioliDepartment of Paediatrics, Ospedale Dell'Angelo, Mestre, Venice, Italy.
Dario GregoriDepartment of Cardiac, Thoracic and Vascular Sciences, Unit of Biostatistics, Epidemiology and Public Health, University of Padova, Padova, Italy.
Carlo GiaquintoDivision of Paediatric Infectious Diseases- Department of Women's and Children's Health, University of Padova, Padova, Italy.
Liviana Da DaltPaediatric Emergency Unit - Department of Women's and Children's Health, University of Padova, Padova, Italy.
Daniele DonàDivision of Paediatric Infectious Diseases- Department of Women's and Children's Health, University of Padova, Padova, Italy.
University of Padua · ITOspedale dell' Angelo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the ability of Weighted-Incidence Syndromic Combination Antibiograms (WISCA) to inform the selection of empirical antibiotic regimens for suspected paediatric community-acquired urinary tract infections.

methodsData were collected from outpatients (< 15 years) accessing the emergency rooms of Padua University-Hospital and Mestre Dell' Angelo-Hospital (Venice) between January 1st, 2016, and December 31st, 2018. WISCAs were developed by estimating the coverage of eight regimens using a Bayesian hierarchical model adjusted for age, sex, and previous antibiotic treatment or renal/urological comorbidities.

results385 of 620 urine culture requests were included in the model analysis. The most frequently observed bacterium was E. coli (85% and 87%, Centre A and B). No centre effect on coverage estimates was found, and data were successfully pooled together. Coverage ranged from 77.8% (Co-trimoxazole) to 97.6% (Carbapenems). Complex cases and males had significantly lower odds of being covered by a regimen than non-complex cases and females (odds ratio (OR) 0.49 [95% HDI, 0.38-0.65], and OR: 0.73 [95% HDIs, 0.56-0.96] respectively). Children aged 3-5 years had lower odds of being covered by a regimen than other age groups, except for neonates.

conclusionsThe developed WISCAs provide highly informative estimates on coverage patterns overcoming the limitation of combination antibiograms and expanding the framework of previous Bayesian WISCA algorithm.

Indexed as

Microbial Sensitivity TestsAdolescentAnti-Bacterial AgentsBayes TheoremChildChild, PreschoolCommunity-Acquired InfectionsFemaleHumansIncidenceInfantInfant, NewbornItalyMaleRetrospective StudiesUrinary Tract InfectionsAnti-Bacterial AgentsAntibiotic-resistanceAntimicrobial stewardshipBayesian modelChildrenCombination antibiogramUrinary tract infection

Identifiers

PMID33933164
PMCPMC8088309
OpenAlexW3158607850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.