Evidence map›Paper›PMID 28194692›Full record

ArticleWorld journal of pediatrics : WJP2017

Role of CFTR mutation analysis in the diagnostic algorithm for cystic fibrosis.

Michelle Ratkiewicz, Matthew Pastore, Karen Sharrock McCoy, Rohan Thompson, Don Hayes, Shahid Ijaz Sheikh

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in World journal of pediatrics : WJP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Exercise and Cystic Fibrosis.Advances in experimental medicine and biology · 2020
    Review
  5. Cystic fibrosis-related diabetes: optimizing care with a multidisciplinary approach.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Article
  6. Review
  7. 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 at 1 institution in 1 country.

Michelle RatkiewiczDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA.
Matthew PastoreDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA.
Karen Sharrock McCoyDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA.
Rohan ThompsonDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA.
Don HayesDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA.
Shahid Ijaz SheikhDepartment of Pediatrics, the Ohio State University College of Medicine, Columbus, Ohio, USA. Shahid.Sheikh@nationwidechildrens.org.
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cystic fibrosis transmembrane conductance regulator (CFTR) gene mutation identification is being used with increased frequency to aid in the diagnosis of cystic fibrosis (CF) in those suspected with CF. Aim of this study was to identify diagnostic outcomes when CFTR mutational analysis was used in CF diagnosis. CFTR mutational analysis results were also compared with sweat chloride results.

methodsThis study was done on all patients at our institution who had CFTR mutation analysis over a sevenyear period since August 2006.

resultsA total of 315 patients underwent CFTR mutational analysis. Fifty-one (16.2%) patients had two mutations identified. Among them 32 had positive sweat chloride levels (≥60 mmol/L), while seven had borderline sweat chloride levels (40-59 mmol/L). An additional 70 patients (22.3%) had only one mutation identified. Among them eight had positive sweat chloride levels, and 17 had borderline sweat chloride levels. Fifty-five patients (17.5%) without CFTR mutations had either borderline (n=45) or positive (n=10) sweat chloride results. Three patients with a CF phenotype had negative CFTR analysis but elevated sweat chloride levels. In eighty-three patients (26.4%) CFTR mutational analysis was done without corresponding sweat chloride testing.

conclusionsAlthough CFTR mutation analysis has improved the diagnostic capability for CF, its use either as the first step or the only test to diagnose CFTR dysfunction should be discouraged and CF diagnostic guidelines need to be followed.

Indexed as

AlgorithmsGene Expression RegulationAdolescentAdultAgedChildChloridesCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDatabases, FactualDNA Mutational AnalysisFemaleGenetic TestingHumansMaleMiddle AgedCFTR protein, humanChloridesCystic Fibrosis Transmembrane Conductance RegulatorCFTRcystic fibrosissweat chloride

Identifiers

PMID28194692
OpenAlexW2588687016

What OpenQuestion holds

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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.