Evidence map›Paper›PMID 34002290›Full record

ArticleThe AAPS journal2021

Towards Evidence-Based Weaning: a Mechanism-Based Pharmacometric Model to Characterize Iatrogenic Withdrawal Syndrome in Critically Ill Children.

Sebastiaan C Goulooze, Erwin Ista, Monique van Dijk, Dick Tibboel, Elke H J Krekels, Catherijne A J Knibbe

Open access · hybridAbstract read
In one paragraph

Article in The AAPS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Sebastiaan C GouloozeDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands.
Erwin IstaPediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
Monique van DijkPediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
Dick TibboelPediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
Elke H J KrekelsDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands.
Catherijne A J KnibbeDivision of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands. c.knibbe@antoniusziekenhuis.nl.ORCID http://orcid.org/0000-0001-9893-4415
Leiden University · NLErasmus MC - Sophia Children’s Hospital · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the management of iatrogenic withdrawal syndrome (IWS) in children, a quantitative understanding of the dynamics of IWS of commonly used opioids and sedatives is lacking. Here, we introduce a new mechanism-based pharmacokinetic-pharmacodynamic (PKPD) modeling approach for studying IWS in pediatric clinical datasets. One thousand seven hundred eighty-two NRS

Indexed as

AdolescentAnalgesics, OpioidChildChild, PreschoolCritical IllnessDrug Administration ScheduleEvidence-Based MedicineFemaleHumansHypnotics and SedativesIatrogenic DiseaseInfantInfusions, IntravenousMaleSubstance Withdrawal SyndromeTreatment OutcomeAnalgesics, OpioidHypnotics and SedativesFentanylIatrogenic withdrawalMorphinePediatricPharmacometrics

Identifiers

PMID34002290
PMCPMC8128736
OpenAlexW3161890041

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.