ArticleNPJ primary care respiratory medicine2018
Population-based study of LAMA monotherapy effectiveness compared with LABA/LAMA as initial treatment for COPD in primary care.
Article in NPJ primary care respiratory medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Methods to assess COPD medications adherence in healthcare databases: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2023Pooled it
- Comparing Costs and Healthcare Resource Utilization (HCRU) Using LAMA versus LABA/ICS at Treatment Initiation for COPD: Findings from CITRUS (Comparing the Incidence of Tiotropium and ICS/LABA in Real-World Use in South Korea) Study.International journal of chronic obstructive pulmonary disease · 2024Observational
- Effectiveness trials: critical data to help understand how respiratory medicines really work?European clinical respiratory journal · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This epidemiological study aimed to describe and compare the characteristics and outcomes of COPD patients starting treatment with a long-acting anti-muscarinic (LAMA) or a combination of a long-acting beta-2 agonist (LABA)/LAMA in primary care in Catalonia (Spain) over a one-year period. Data were obtained from the Information System for the Development in Research in Primary Care (SIDIAP), a population database containing information of 5.8 million inhabitants (80% of the population of Catalonia). Patients initiating treatment with a LAMA or LABA/LAMA in 2015 were identified, and information about demographic and clinical characteristics was collected. Then, patients were matched 1:1 for age, sex, FEV1%, history of exacerbations, history of asthma and duration of treatment, and the outcomes between the two groups were compared. During 2015, 5729 individuals with COPD started treatment with a LAMA (69.8%) or LAMA/LABA (30.2%). There were no remarkable differences between groups except for a lower FEV1 and more previous hospital admissions in individuals on LABA/LAMA. The number of tests and referrals was low and decreased in both groups during follow-up. For the same severity status, the evolution was similar with a reduction in exacerbations in both groups. Treatment was changed during follow-up in up to 34.2% of patients in the LABA/LAMA and 26.3% in the LAMA group, but adherence was equally good for both. Our results suggest that initial therapy with LAMA in monotherapy may be adequate in a significant group of mild to moderate patients with COPD and a low risk of exacerbations managed in primary care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.