Evidence map›Paper›PMID 37790510›Full record

ArticleResearch square2023

Predicting return of lung function after a pulmonary exacerbation using the cystic fibrosis respiratory symptom diary-chronic respiratory infection symptom scale.

Eliana R Gill, Christopher H Goss, Scott D Sagel, Michelle L Wright, Sharon D Horner, Julie A Zuñiga

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Eliana R GillUniversity of Washington.
Christopher H GossUniversity of Washington.
Scott D SagelUniversity of Colorado Anschutz Medical Campus.
Michelle L WrightThe University of Texas at Austin.
Sharon D HornerThe University of Texas at Austin.
Julie A ZuñigaThe University of Texas at Austin.
The University of Texas at Austin · USUniversity of Washington · USUniversity of Colorado Anschutz Medical Campus · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Translational Research Center to Expedite Novel Therapies in Cystic FibrosisP30DK089507 · NIDDK · SEATTLE CHILDREN'S HOSPITAL · PI Christopher Hooper Goss · 2010 to 2026
$21.4M
Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic ConditionsT32NR019035 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI STUIFBERGEN, ALEXA · 2020 to 2024
$995k
NCATS NIH HHS UL1 TR002535NIDDK NIH HHS P30 DK089507NINR NIH HHS T32 NR019035
6 · The paper itself

Abstract

Background: Pulmonary exacerbations (PExs) in people with cystic fibrosis (PwCF) are associated with increased healthcare costs, decreased quality of life and the risk for permanent decline in lung function. Symptom burden, the continuous physiological and emotional symptoms on an individual related to their disease, may be a useful tool for monitoring PwCF during a PEx, and identifying individuals at high risk for permanent decline in lung function. The purpose of this study was to investigate if the degree of symptom burden severity, measured by the Cystic Fibrosis Respiratory Symptom Diary (CFRSD)- Chronic Respiratory Infection Symptom Scale (CRISS), at the onset of a PEx can predict failure to return to baseline lung function by the end of treatment. Methods: A secondary analysis of a longitudinal, observational study (N = 56) was conducted. Data was collected at four time points: year-prior-to-enrollment annual appointment, termed "baseline", day 1 of PEx diagnosis, termed "Visit 1", day 10-21 of PEx diagnosis, termed "Visit 2" and two-weeks post-hospitalization, termed "Visit 3". A linear regression model was performed to analyze the research question. Results: A regression model predicted that recovery of lung function decreased by 0.2 points for every increase in CRISS points, indicating that participants with a CRISS score greater than 48.3 were at 14% greater risk of not recovering to baseline lung function by Visit 2, than people with lower scores. Conclusion: Monitoring CRISS scores in PwCF is an efficient, reliable, non-invasive way to determine a person's status at the beginning of a PEx. The results presented in this paper support the usefulness of studying symptoms in the context of PEx in PwCF.

Identifiers

PMID37790510
PMCPMC10543508
OpenAlexW4386708057

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.