Evidence map›Paper›PMID 23734646›Full record

ReviewExpert review of respiratory medicine2013

Novel end points for clinical trials in young children with cystic fibrosis.

Shannon J Simpson, Lauren S Mott, Charles R Esther, Stephen M Stick, Graham L Hall

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of respiratory medicine, 2013. 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
0.7field-weighted citation impact, top 26% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 3 institutions in 2 countries.

Shannon J SimpsonTelethon Institute for Child Health Research, Centre for Child Health Research, University of Western Australia, Perth, Australia.
Lauren S Mott
Charles R Esther
Stephen M Stick
Graham L Hall
Princess Margaret Hospital for Children · AUThe Kids Research Institute Australia · AUUniversity of North Carolina at Chapel Hill · US

Funding

The Biophysics of Mucus Hydration and Adhesion/CohesionP01HL108808 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEDEN, DAVID B. · 2012 to 2021
$23.9M
Mucus and hypoxia in heterogeneous and progressive CF lung diseaseR01HL116228 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ESTHER, CHARLES RICHARD, MUHLEBACH, MARIANNE S · 2012 to 2015
$2.1M
NHLBI NIH HHS P01 HL108808NHLBI NIH HHS R01 HL116228
6 · The paper itself

Abstract

Cystic fibrosis (CF) lung disease commences early in the disease progression and is the most common cause of mortality. While new CF disease-modifying agents are currently undergoing clinical trial evaluation, the implementation of such trials in young children is limited by the lack of age-appropriate clinical trial end points. Advances in infant and preschool lung function testing, imaging of the chest and the development of biochemical biomarkers have led to increased possibility of quantifying mild lung disease in young children with CF and objectively monitoring disease progression over the course of an intervention. Despite this, further standardization and development of these techniques is required to provide robust objective measures for clinical trials in this age group.

Indexed as

Endpoint DeterminationLungResearch DesignAge FactorsBiomarkersChildChild, PreschoolClinical Trials as TopicCystic FibrosisDiagnostic ImagingEarly DiagnosisHumansInfantMagnetic Resonance ImagingPredictive Value of TestsRespiratory Function TestsBiomarkers

Identifiers

PMID23734646
PMCPMC5033038
OpenAlexW1987091587

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.