Evidence map›Paper›PMID 32030275›Full record

ArticleJournal of thoracic disease2019

Cystic fibrosis patients at risk for disease progression marked by decline in FEV1% predicted: development of the cystic fibrosis risk of disease progression score.

Nathan L Marsteller, Eliezer Nussbaum, Tricia Morphew, Inderpal S Randhawa

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Nathan L MarstellerThe Translational Pulmonary and Immunology Research Center (TPIRC), Long Beach, CA, USA.
Eliezer NussbaumMemorialCare Health System, Long Beach, CA, USA.
Tricia MorphewMemorialCare Health System, Long Beach, CA, USA.
Inderpal S RandhawaThe Translational Pulmonary and Immunology Research Center (TPIRC), Long Beach, CA, USA.
MemorialCare Health System · USMiller Children's & Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic fibrosis (CF) is one of the most common recessively inherited disorders diagnosed in early childhood in the United States. Determining the phenotype of CF patients likely to experience a significant drop in FEV1% predicted will help target efforts for mitigating this deleterious disorder.

methodsThis retrospective cohort study evaluated potential risk variables that account for the decline in FEV1% predicted in 81 CF patients treated at Miller Children's and Women's Hospital, CA. Cystic fibrosis risk of disease progression (CF RD-Pro) score was evaluated as a tool to identify high-risk patients for accelerated disease progression (event = drop in FEV1% predicted ≥10 percentage points) based on risk variables identified as significant.

resultsROC analysis determined classification of high versus low-moderate risk of FEV1% decline during year two based on RD-Pro score. Scores ≥2 applied as threshold for high-risk revealed relatively good validity estimates: sensitivity =82.8%, specificity =66.7%, PVP =77.4%, PVN =73.7%, and correct classification =76%. Patients with CF RD-Pro scores suggestive of high (≥2 points)

conclusionsIdentification of patients at high risk for significant decline in lung function will enable address of potential therapeutic modalities, environmental exposures, and behavioral variants that may improve outcomes in these patients. The power of the CF RD-Pro Score lies in its simplicity. Our study provides a novel readily available score, which incorporates body mass index (BMI) and

Indexed as

body mass index (BMI)Cystic fibrosisdisease progression scorelung transplantStaphylococcus aureus

Identifiers

PMID32030275
PMCPMC6988003
OpenAlexW2997276702

What OpenQuestion holds

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Registered trials

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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.