Evidence map›Paper›PMID 38448044›Full record

ArticleBMJ open respiratory research2024

Characteristics, treatment patterns and burden of illness in US patients with asthma newly initiating multiple-inhaler triple therapy.

Beade Numbere, Yunhao Liu, Shiyuan Zhang, Alexandrosz Czira, Yifei Lu

Abstract read
In one paragraph

Article 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

5 authors.

Beade NumbereR&D Global Medical, GSK, Brentford, UK beaden@live.com.ORCID http://orcid.org/0000-0003-2946-4880
Yunhao LiuR&D Global Medical, GSK, Brentford, UK.
Shiyuan ZhangR&D Global Medical, GSK, Collegeville, Pennsylvania, USA.
Alexandrosz CziraR&D Global Medical, GSK, Brentford, UK.
Yifei LuUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFor patients with asthma who remain symptomatic on medium-dose inhaled corticosteroid/long-acting β

methodsThis retrospective cohort study used administrative data from IBM Truven MarketScan Commercial Claims and Encounters Database with Medicare supplement between 1 January 2016 and 31 December 2019. Adult patients with asthma who initiated MITT between 1 January 2017 and 31 March 2019 were included and were classified based on their discontinuation status. 'Continuous users' had continuous use of MITT and 'discontinuers' discontinued treatment within the 6-month period postinitiation. Demographics and clinical characteristics, asthma treatment use prior to MITT initiation (12-month baseline period), mode of MITT initiation and complexity of regimen were described.

resultsOf 4132 patients (mean age: 49.0 years, 67.9% female), 78.0% (n=3224) were discontinuers; 22.0% (n=908) were continuous users. Demographic and other clinical and treatment-related characteristics during baseline were broadly similar between cohorts. A significantly higher proportion of continuous users versus discontinuers had ≥6 dispensed claims for short-acting β

conclusionsMost patients with asthma discontinued MITT within 6 months. Results indicate that patients with a history of uncontrolled, symptomatic asthma and those using less complex triple therapy regimens at initiation are less likely to discontinue MITT than patients with controlled asthma and those using a complex MITT regimen.

Indexed as

AsthmaMedicareAdultAgedCost of IllnessFemaleHumansMaleMiddle AgedNebulizers and VaporizersRetrospective StudiesUnited Statesasthmaasthma epidemiology

Identifiers

PMID38448044
PMCPMC10916089

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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.