Evidence map›Paper›PMID 38269291›Full record

ArticleFrontiers in pediatrics2023

Pediatric intensive care unit admissions network-rationale, framework and method of operation of a nationwide collaborative pediatric intensive care research network in Germany.

Nora Bruns, Christian Dohna-Schwake, Martin Olivieri, Michael S Urschitz, Susanne Blomenkamp, Clara Frosch, Victoria Lieftüchter, Markos K Tomidis Chatzimanouil, Florian Hoffmann, Sebastian Brenner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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  4. Review
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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

10 authors at 5 institutions in 1 country.

Nora BrunsDepartment of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Christian Dohna-SchwakeDepartment of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Martin OlivieriPediatric Intensive Care Unit, Dr. von Hauner Childreńs Hospital, LMU Munich, Munich, Germany.
Michael S UrschitzDivision of Pediatric Epidemiology, Institute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.
Susanne BlomenkampDivision of Pediatric Epidemiology, Institute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.
Clara FroschDepartment of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Victoria LieftüchterPediatric Intensive Care Unit, Dr. von Hauner Childreńs Hospital, LMU Munich, Munich, Germany.
Markos K Tomidis ChatzimanouilPediatric Intensive Care Medicine, Department of Pediatrics, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany.
Florian HoffmannPediatric Intensive Care Unit, Dr. von Hauner Childreńs Hospital, LMU Munich, Munich, Germany.
Sebastian BrennerPediatric Intensive Care Medicine, Department of Pediatrics, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany.
Ludwig-Maximilians-Universität München · DEUniversity of Duisburg-Essen · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DETU Dresden · DEUniversity Hospital Carl Gustav Carus · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pediatric Intensive Care Unit Admissions (PIA) network aims to establish a nationwide database in Germany to gather epidemiological, clinical, and outcome data on pediatric critical illness. The heterogeneity of pediatric patients in intensive care units (PICU) poses challenges in obtaining sufficient case numbers for reliable research. Multicentered approaches, such as patient registries, have proven effective in collecting large-scale data. However, Germany lacks a systematic registration system for pediatric intensive care admissions, hindering epidemiological and outcome assessments. The PIA network intends to address these gaps and provide a framework for clinical and epidemiological research in pediatric intensive care. The network will interconnect PICUs across Germany and collect structured data on diagnoses, treatment, clinical course, and short-term outcomes. It aims to identify areas for improvement in care, enable disease surveillance, and potentially serve as a quality control tool. The PIA network builds upon the existing infrastructure of the German Pediatric Surveillance Unit ESPED and utilizes digitalized data collection techniques. Participating units will complete surveys on their organizational structure and equipment. The study population includes patients aged ≥28 days admitted to participating PICUs, with a more detailed survey for cases meeting specific criteria. Data will be collected by local PIA investigators, anonymized, and entered into a central database. The data protection protocol complies with regulations and ensures patient privacy. Quarterly data checks and customized quality reports will be conducted to monitor data completeness and plausibility. The network will evaluate its performance, data collection feasibility, and data quality. Eligible investigators can submit proposals for data analyses, which will be reviewed and analyzed by trained statisticians or epidemiologists. The PIA network aims to improve pediatric intensive care medicine in Germany by providing a comprehensive understanding of critical illness, benchmarking treatment quality, and enabling disease surveillance.

Indexed as

admissionepidemiologynetworkpediatric critical illnesspediatric intensive care unitPICU outcomequality controlsurveillance

Identifiers

PMID38269291
PMCPMC10806156
OpenAlexW4390699585

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.