Evidence map›Paper›PMID 23036247›Full record

ReviewPediatric clinics of North America2012

How to optimize the evaluation and use of antibiotics in neonates.

Evelyne Jacqz-Aigrain, Florentia Kaguelidou, John N van den Anker

Abstract readReview
In one paragraph

Review in Pediatric clinics of North America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

3 authors at 3 institutions in 3 countries.

Evelyne Jacqz-AigrainDepartment of Pharmacology, Université Paris Diderot, 5 rue Thomas Mann, Paris F75013, France. evelyne.jacqzaigrain@gmail.com
Florentia Kaguelidou
John N van den Anker
Délégation Paris 7 · FRErasmus MC - Sophia Children’s Hospital · NLUniversité Paris Cité · FR

Funding

Preclinical dosing optimization: Dosing schedule, tissueU54HD071601 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VAN DEN ANKER, JOHN NICOLAAS · 2011 to 2015
$4.0M
Metabolism and Toxicity of Acetaminophen in Preterm InfantsR01HD060543 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VAN DEN ANKER, JOHANNES NICOLAAS · 2010 to 2014
$1.5M
Optimizing the Use of Morphine in Preterm InfantsR01HD048689 · NICHD · CHILDREN'S NATIONAL MEDICAL CENTER · PI VAN DEN ANKER, JOHANNES NICOLAAS · 2005 to 2009
$1.5M
Optimizing the Use of Methadone in Newborn InfantsK24DA027992 · NIDA · CHILDREN'S RESEARCH INSTITUTE · PI VAN DEN ANKER, JOHANNES NICOLAAS · 2010 to 2014
$878k
NICHD NIH HHS R01 HD048689NICHD NIH HHS R01HD048689NICHD NIH HHS R01 HD060543NICHD NIH HHS R01HD060543NICHD NIH HHS U54 HD071601NICHD NIH HHS U54HD071601NIDA NIH HHS K24 DA027992NIDA NIH HHS K24DA027992
6 · The paper itself

Abstract

The optimal evaluation and use of antibacterial agents that are very frequently prescribed in neonates during various situations such as early- and late-onset invasive infections depend on adapted dose selection, based on population pharmacokinetic/pharmacodynamic modeling and simulation, using approved surrogate biomarkers as pharmacodynamic end points. Data on efficacy can be extrapolated from adult and pediatric data because of comparable mechanistic action of antibiotics in neonates, children, and adults. However, evaluation of efficacy and toxicity in the neonate should always be discussed with regulatory agencies and are highly recommended when feasible.

Indexed as

AdultAnti-Bacterial AgentsBacterial InfectionsDecision TreesHumansInfant, NewbornAnti-Bacterial Agents

Identifiers

PMID23036247
PMCPMC4709255
OpenAlexW2024663294

What OpenQuestion holds

Textmetadata
LicenceTDM
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.