Evidence map›Paper›PMID 38251844›Full record

ArticlePediatric pulmonology2024

Time to be blunt: Substance use in cystic fibrosis.

Sanaz Vaziri, Meghan E McGarry, Chiung-Yu Huang, Addison A Cuneo, Shaina M Willen, Kensho Iwanaga, Fatima Neemuchwala, Elizabeth R Gibb, Marilynn Chan, Ngoc P Ly

Open access · hybridAbstract read
In one paragraph

Article in Pediatric pulmonology, 2024. 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
2.9field-weighted citation impact, top 9% 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, 7 citations in OpenAlex.

  1. Article
  2. Secondhand vape exposure regulation of CFTR and immune function in cystic fibrosis.American journal of physiology. Lung cellular and molecular physiology · 2025
    Article
  3. Alcohol and Disability Sports: Insights from Swiss Coaches.Substance abuse and rehabilitation · 2025
    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

10 authors at 3 institutions in 1 country.

Sanaz VaziriDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-5842-5082
Meghan E McGarryDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8562-7018
Chiung-Yu HuangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Addison A CuneoDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
Shaina M WillenDepartment of Pediatrics, University of California Davis, Davis, California, USA.
Kensho IwanagaDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
Fatima NeemuchwalaDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
Elizabeth R GibbDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
Marilynn ChanDepartment of Pediatrics, Kaiser Permanente, Oakland, California, USA.
Ngoc P LyDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USKaiser Permanente · USUniversity of California, Davis · US

Funding

Risk Factors For Worse Lung Function In Latinos With Cystic FibrosisK23HL133437 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCGARRY, MEGHAN ELIZABETH · 2018 to 2023
$1.0M
NHLBI NIH HHS 1K23HL133437-01A1NHLBI NIH HHS K23 HL133437NIMHD NIH HHS L60 MD010865
6 · The paper itself

Abstract

backgroundAs the population of people with cystic fibrosis (pwCF) continues to age, attention is shifting towards addressing the unique challenges teenagers and adults face, including substance use. Changing attitudes and legality regarding marijuana and cannabidiol (CBD) may influence their use among pwCF, but data on the rate of use, reasons for use, and administration methods are lacking.

objectiveInvestigate marijuana, CBD, e-cigarette, and cigarette usage among pwCF and explore differences in demographics, disease severity, and cystic fibrosis transmembrane receptor (CFTR) modulator use between recent users and nonusers.

methodsThis cross-sectional study used a one-time electronic survey to assess marijuana, CBD, e-cigarette, and cigarette use in pwCF aged >13 years. Demographic and clinical characteristics were compared between recent users and nonusers. The association between recent substance use and CFTR modulator use was analyzed using logistic regressions.

resultsAmong 226 participants, 29% used marijuana, 22% used CBD, 27% used e-cigarettes, and 22% used cigarettes in the last 12 months. Users of all substances were more likely to be college-educated or aged 29-39 years than nonusers. E-cigarette users were 2.9 times more likely to use CFTR modulators (95% confidence interval [95% CI]: 0.98-11.00, p = .08) and marijuana users were 2.5 times more likely to use CFTR modulators compared to nonusers, adjusted for confounders. CBD, e-cigarettes, and cigarettes users were more likely to have an abnormal mental health screen compared to nonusers. A high proportion of never-users of marijuana and CBD expressed interest in using.

conclusionSubstance use is more prevalent among pwCF than previously reported and needs to be addressed by healthcare providers.

Indexed as

Cystic FibrosisElectronic Nicotine Delivery SystemsSubstance-Related DisordersAdolescentAdultCross-Sectional StudiesCystic Fibrosis Transmembrane Conductance RegulatorHumansCystic Fibrosis Transmembrane Conductance Regulatorcannabidiolcystic fibrosise‐cigarettesmarijuanavaping

Identifiers

PMID38251844
PMCPMC11781230
OpenAlexW4391109272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.