Evidence map›Paper›PMID 39074961›Full record

Observational studyBMJ open respiratory research2024

Real-world impact of ivacaftor in people with cystic fibrosis and select ivacaftor-responsive mutations.

Craig McKinnon, Teja Thorat, Alexander Craft, Mark Higgins

Abstract readObservational Study
In one paragraph

Observational study in BMJ open respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Craig McKinnonVertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA Craig_McKinnon@vrtx.com.ORCID http://orcid.org/0000-0001-5768-4237
Teja ThoratVertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA.
Alexander CraftVertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA.
Mark HigginsVertex Pharmaceuticals (Europe) Limited, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIvacaftor approval was extended to people with cystic fibrosis (CF) with ≥1 of 28 additional ivacaftor-responsive mutations in the USA in 2017 based on preclinical in vitro data. This retrospective, observational study assessed real-world clinical response to ivacaftor in people with CF with ≥1 of these mutations, using data from the US Cystic Fibrosis Foundation Patient Registry.

methodsParticipants aged ≥2 years with ≥1 of 28 eligible mutations initiating ivacaftor between May 2017 and December 2018 were included. Clinical outcomes data were evaluated for ≤1 year before and ≤2 years after ivacaftor initiation. Participants initiating ivacaftor between May and December 2017 (2017 cohort) were used for the primary analysis because up to 2 years of post-ivacaftor-initiation data were available. Analyses were descriptive; key outcomes included percent predicted forced expiratory volume in 1 s (ppFEV

resultsThe study included 1004 eligible participants. In the 2017 cohort (n=613), mean absolute change in ppFEV

conclusionsThese real-world observational study findings support the effectiveness of ivacaftor in people with CF aged ≥2 years with selected

Indexed as

AminophenolsCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorMutationQuinolonesAdolescentAdultChildChild, PreschoolChloride Channel AgonistsFemaleForced Expiratory VolumeHumansMaleRegistriesRetrospective StudiesAminophenolsCFTR protein, humanChloride Channel AgonistsCystic Fibrosis Transmembrane Conductance RegulatorivacaftorQuinolonesCystic Fibrosis

Identifiers

PMID39074961
PMCPMC11288149

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.