Evidence map›Paper›PMID 26628524›Full record

ArticleBMJ open2015

Assessing the effects of the Spanish partial smoking ban on cardiovascular and respiratory diseases: methodological issues.

Iñaki Galán, Lorena Simón, Víctor Flores, Cristina Ortiz, Rafael Fernández-Cuenca, Cristina Linares, Elena Boldo, María José Medrano, Roberto Pastor-Barriuso

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 1 country.

Iñaki GalánNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPAZ, Madrid, Spain.
Lorena SimónNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Víctor FloresNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Cristina OrtizNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Rafael Fernández-CuencaNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Cristina LinaresNational School of Public Health, Instituto de Salud Carlos III, Madrid, Spain.
Elena BoldoNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain Puerta de Hierro Biomedical Research Institute, Madrid, Spain.
María José MedranoNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Roberto Pastor-BarriusoNational Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Instituto de Salud Carlos III · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecent research has assessed the impact of tobacco laws on cardiovascular and respiratory morbidity. In this study, we also examined whether the association between the implementation of the 2005 Spanish smoking ban and hospital admissions for cardiovascular and respiratory diseases varies according to the adjustment for potential confounders.

designEcological time series analysis.

settingResidents of Madrid and Barcelona cities (Spain). OUTCOME: Data on daily emergency room admissions for acute myocardial infarction, cerebrovascular disease, chronic obstructive pulmonary disease (COPD), and asthma derived from the 2003-2006 Spanish hospital admissions registry.

methodsChanges in admission rates between 2006 and the 2003-2005 period were estimated using additive Poisson models allowing for overdispersion adjusted for secular trend in admission, seasonality, day of the week, temperature, number of flu and acute respiratory infection cases, pollution levels, tobacco consumption prevalence and, for asthma cases, pollen count.

resultsIn Madrid, fully adjusted models failed to detect significant changes in hospital admission rates for any disease during the study period. In Barcelona, however, hospital admissions decreased by 10.2% (95% CI 3.8% to 16.1%) for cerebrovascular diseases and by 16.0% (95% CI 7.0% to 24.1%) for COPD. Substantial changes in effect estimates were observed on adjustment for linear or quadratic trend. Effect estimates for asthma-related admissions varied substantially when adjusting for pollen count in Madrid, and for seasonality and tobacco consumption in Barcelona.

conclusionsOur results confirm that the potential impact of a smoking ban must be adjusted for the underlying secular trend. In asthma-related admissions, pollen count, seasonality and tobacco consumption must be specified in the model. The substantial variability in effects detected between the two cities of Madrid and Barcelona lends strong support for a nationwide study to assess the overall effect of a smoking ban in Spain and identify the causes of the observed heterogeneity.

Indexed as

AdolescentAdultAgedAged, 80 and overAsthmaCerebrovascular DisordersFemaleHospitalizationHumansMaleMiddle AgedMyocardial InfarctionPoisson DistributionPulmonary Disease, Chronic ObstructiveRegistriesRegression AnalysisTobacco Smoke PollutionEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID26628524
PMCPMC4679921
OpenAlexW2189728566

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.