Evidence map›Paper›PMID 22162514›Full record

ArticlePediatric pulmonology2012

Regional differences in the evolution of lung disease in children with cystic fibrosis.

Zhanhai Li, Don B Sanders, Michael J Rock, Michael R Kosorok, Jannette Collins, Christopher G Green, Alan S Brody, Philip M Farrell

Open access · greenAbstract read
In one paragraph

Article in Pediatric pulmonology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sensitive structural and functional measurements and 1-year pulmonary outcomes in pediatric cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2021
    Article
  6. Article
  7. Article
  8. Mucoid Pseudomonas aeruginosa and regional inflammation in the cystic fibrosis lung.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2019
    Article
  9. A Flow Cytometric Method for Isolating Cystic Fibrosis Airway Macrophages from Expectorated Sputum.American journal of respiratory cell and molecular biology · 2019
    Article
  10. Review
  11. Preliminary comparison of normalized T1 and non-contrast perfusion MRI assessments of regional lung disease in cystic fibrosis patients.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2017
    Article
  12. Article
  13. Article
  14. Cheating by type 3 secretion system-negative Pseudomonas aeruginosa during pulmonary infection.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. Review
  16. 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

8 authors at 2 institutions in 1 country.

Zhanhai LiDepartment of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin 53792-9988, USA.
Don B Sanders
Michael J Rock
Michael R Kosorok
Jannette Collins
Christopher G Green
Alan S Brody
Philip M Farrell
University of Wisconsin–Madison · USUniversity of Cincinnati · US

Funding

PULMONARY BENEFITS OF CYSTIC FIBROSIS NEONATAL SCREENINGR01DK034108 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI FARRELL, PHILIP M · 1986 to 2011
$6.9M
Pulmonary Benefits of Cystic Fibrosis Neonatal ScreeningR56DK034108 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI FARRELL, PHILIP M · 2006 to 2006
$214k
NIDDK NIH HHS DK 34108NIDDK NIH HHS R01 DK034108NIDDK NIH HHS R56 DK034108
6 · The paper itself

Abstract

Progression of lung disease is a major event in children with cystic fibrosis (CF), but regional differences in its evolution are unclear. We hypothesized that regional differences occur beginning in early childhood. We examined this issue by evaluating 132 patients followed in the Wisconsin Neonatal Screening Project between 1985 and 2010. We scored chest X-rays obtained every 1-2 years with the Wisconsin chest X-ray system, in which we divided the lungs into quadrants, and gave special attention to ratings for bronchiectasis (BX) and nodular/branching opacities. We compared the upper and lower quadrant scores, and upper right and left quadrant scores, as patients aged using a multivariable generalized estimation equation (GEE) model. We did a confirmatory analysis for a subset of 81 patients with chest computerized tomography (CT) images obtained in 2000 and scored using the Brody scoring system. The chest X-ray analysis shows that the upper quadrants have higher BX (P<0.001) and nodular/branching opacities (P<0.001) scores than the lower quadrants. CT analysis likewise reveals that the upper quadrants have more BX (P=0.02). Patients positive for mucoid PA showed significantly higher BX scores than patients with non-mucoid PA (P=0.001). Chest X-ray scoring also revealed that the upper right quadrant has more BX (P<0.001) than the upper left quadrant, and CT analysis was again confirmatory (P<0.001). We conclude that pediatric patients with CF develop more severe lung disease in the upper lobes than the lower lobes in association with mucoid PA infections and also have more severe lung disease on the right side than on the left side in the upper quadrants. A variety of potential explanations such as aspiration episodes may be clinically relevant and provide insights regarding therapies.

Indexed as

AdolescentBronchiectasisChildChild, PreschoolCystic FibrosisDisease ProgressionFemaleHumansLongitudinal StudiesLung DiseasesMaleMass Chest X-RaySeverity of Illness IndexTomography, X-Ray ComputedWisconsin

Identifiers

PMID22162514
PMCPMC3310260
OpenAlexW2108762405

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.