Evidence map›Paper›PMID 27216032›Full record

ArticleEuropean journal of clinical pharmacology2016

A methodological comparison of two European primary care databases and replication in a US claims database: inhaled long-acting beta-2-agonists and the risk of acute myocardial infarction.

A Afonso, S Schmiedl, C Becker, S Tcherny-Lessenot, P Primatesta, E Plana, P Souverein, Y Wang, J C Korevaar, J Hasford and 5 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2016. 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
1.8field-weighted citation impact, top 16% 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, 13 citations in OpenAlex.

  1. Article
  2. Association between Inhaled βInternational journal of chronic obstructive pulmonary disease · 2022
    Article
  3. 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

15 authors at 9 institutions in 6 countries.

A AfonsoDivision Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584 CA, Utrecht, The Netherlands.
S SchmiedlDepartment of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, 58448, Witten, Germany.
C BeckerBasel Pharmacoepidemiology Unit, Division of Clinical Pharmacy & Epidemiology, Department of Pharmaceutical Sciences, University of Basel, Hebelstrasse 2 (Markgräflerhof), 4031, Basel, Switzerland.
S Tcherny-LessenotGlobal Pharmacovigilance and Epidemiology, Sanofi, Avenue Pierre Brossolette, 91380, Chilly-Mazarin, France.
P PrimatestaGlobal Epidemiology, Novartis Pharma AG, 4002, Basel, Switzerland.
E PlanaNovartis Pharma AG, Apartado 708, 08080, Barcelona, Spain.
P SouvereinDivision Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584 CA, Utrecht, The Netherlands.
Y WangGlobal Pharmacovigilance and Epidemiology, Sanofi, Avenue Pierre Brossolette, 91380, Chilly-Mazarin, France.
J C KorevaarNIVEL, Netherlands Institute for Health Services Research, Postbus 1568, 3500 BN, Utrecht, The Netherlands.
J HasfordInstitute for Medical Information Sciences, Biometry, and Epidemiology, Ludwig-Maximilians-Universitaet, Marchioninistr. 15, 81377, Munich, Germany.
R ReynoldsEpidemiology, Pfizer, 235 E 42nd St, New York, NY, 10017, USA.
M C H de GrootDivision Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584 CA, Utrecht, The Netherlands.
R SchliengerGlobal Epidemiology, Novartis Pharma AG, 4002, Basel, Switzerland.
O KlungelDivision Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584 CA, Utrecht, The Netherlands.
M RottenkolberInstitute for Medical Information Sciences, Biometry, and Epidemiology, Ludwig-Maximilians-Universitaet, Marchioninistr. 15, 81377, Munich, Germany. marietta.rottenkolber@med.uni-muenchen.de.
Utrecht University · NLNovartis (Switzerland) · CHSanofi (France) · FRZimmer Biomet (Germany) · DENetherlands Institute for Health Services Research · NLNovartis (Spain) · ESPfizer (United States) · USUniversity of Basel · CHWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeResults from observational studies on inhaled long-acting beta-2-agonists (LABA) and acute myocardial infarction (AMI) risk are conflicting, presumably due to variation in methodology. We aimed to evaluate the impact of applying a common study protocol on consistency of results in three databases.

methodsIn the primary analysis, we included patients from two GP databases (Dutch-Mondriaan, UK-CPRD GOLD) with a diagnosis of asthma and/or COPD and at least one inhaled LABA or a "non-LABA inhaled bronchodilator medication" (short-acting beta-2-agonist or short-/long-acting muscarinic antagonist) prescription between 2002 and 2009. A claims database (USA-Clinformatics) was used for replication. LABA use was divided into current, recent (first 91 days following the end of a treatment episode), and past use (after more than 91 days following the end of a treatment episode). Adjusted hazard ratios (AMI-aHR) and 95 % confidence intervals (95 % CI) were estimated using time-dependent multivariable Cox regression models stratified by recorded diagnoses (asthma, COPD, or both asthma and COPD).

resultsFor asthma or COPD patients, no statistically significant AMI-aHRs (age- and sex-adjusted) were found in the primary analysis. For patients with both diagnoses, a decreased AMI-aHR was found for current vs. recent LABA use in the CPRD GOLD (0.78; 95 % CI 0.68-0.90) and in Mondriaan (0.55; 95 % CI 0.28-1.08), too. The replication study yielded similar results. Adjusting for concomitant medication use and comorbidities, in addition to age and sex, had little impact on the results.

conclusionsBy using a common protocol, we observed similar results in the primary analysis performed in two GP databases and in the replication study in a claims database. Regarding differences between databases, a common protocol facilitates interpreting results due to minimized methodological variations. However, results of multinational comparative observational studies might be affected by bias not fully addressed by a common protocol.

Indexed as

Databases, FactualAdministration, InhalationAdrenergic beta-2 Receptor AgonistsAsthmaEuropeHumansMyocardial InfarctionPrimary Health CarePulmonary Disease, Chronic ObstructiveResearch DesignUnited StatesAdrenergic beta-2 Receptor AgonistsAcute myocardial infarctionLong-acting beta-2-agonistsMethodological comparisonSecondary data analysis

Identifiers

PMID27216032
OpenAlexW2399407432

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.