Evidence map›Paper›PMID 28579864›Full record

ArticleClinical medicine insights. Pediatrics2017

Evaluation of Neonatal Transport in Western Switzerland: A Model of Perinatal Regionalization.

Caitriona Gilleece McEvoy, Emilienne Descloux, Mirjam Schuler Barazzoni, Corinne Stadelmann Diaw, Jean-François Tolsa, Matthias Roth-Kleiner

Abstract read
In one paragraph

Article in Clinical medicine insights. Pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

6 authors.

Caitriona Gilleece McEvoyClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Emilienne DesclouxClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Mirjam Schuler BarazzoniClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Corinne Stadelmann DiawClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Jean-François TolsaClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Matthias Roth-KleinerClinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal transport is an essential part of regionalization for highly specialized neonatal intensive care. This retrospective analysis of prospectively collected data on neonatal transport activity in a large Swiss perinatal network more than 1 year, aimed to quantify this activity, to identify the needs for staff, and the demands regarding know-how and equipment. Of the 565 admissions to the tertiary neonatology clinic, 176 (31.2%) were outborn patients, transported as emergencies to the level III unit. In 71.6% of cases, respiratory insufficiency was one of the reasons for transfer. Circadian and weekly distribution showed increased transport activity on workdays between 8 am and 10 pm, but regular demands for emergency transports regardless of the time frame require a neonatal transport team available 24/7. This study highlights the importance of neonatal transport and unveils several functional and infrastructural insufficiencies, which led to suggestions for improvement.

Indexed as

emergency transportneonatal networkNeonatal transportperinatal careregionalization

Identifiers

PMID28579864
PMCPMC5439992

What OpenQuestion holds

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LicenceCC BY-NC
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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.