Evidence map›Paper›PMID 30241493›Full record

ArticleBMC public health2018

Epidemiology of non-steroidal anti-inflammatory drugs consumption in Spain. The MCC-Spain study.

Inés Gómez-Acebo, Trinidad Dierssen-Sotos, María de Pedro, Beatriz Pérez-Gómez, Gemma Castaño-Vinyals, Tania Fernández-Villa, Camilo Palazuelos-Calderón, Pilar Amiano, Jaione Etxeberria, Yolanda Benavente and 15 more

Abstract readMulticenter Study
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Why Pharmacovigilance of Non-steroidal Anti-inflammatory Drugs is Important in India?Endocrine, metabolic & immune disorders drug targets · 2024
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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

25 authors.

Inés Gómez-AceboCIBER Epidemiología y Salud Pública, Madrid, Spain. ines.gomez@unican.es.
Trinidad Dierssen-SotosCIBER Epidemiología y Salud Pública, Madrid, Spain.
María de PedroFacultad de Medicina, Universidad de Cantabria - IDIVAL, Avda Herrera Oria s/n, 39011, Santander, Spain.
Beatriz Pérez-GómezCIBER Epidemiología y Salud Pública, Madrid, Spain.
Gemma Castaño-VinyalsCIBER Epidemiología y Salud Pública, Madrid, Spain.
Tania Fernández-VillaInstitute of Biomedicine (IBIOMED), University of León, León, Spain.
Camilo Palazuelos-CalderónFacultad de Medicina, Universidad de Cantabria - IDIVAL, Avda Herrera Oria s/n, 39011, Santander, Spain.
Pilar AmianoCIBER Epidemiología y Salud Pública, Madrid, Spain.
Jaione EtxeberriaCIBER Epidemiología y Salud Pública, Madrid, Spain.
Yolanda BenaventeCIBER Epidemiología y Salud Pública, Madrid, Spain.
Guillermo Fernández-TardónCIBER Epidemiología y Salud Pública, Madrid, Spain.
Inmaculada Salcedo-BellidoCIBER Epidemiología y Salud Pública, Madrid, Spain.
Rocío CapeloCentro de Investigación en Recursos Naturales, Salud, y Medio Ambiente. (RENSMA), Universidad de Huelva, Huelva, Spain.
Rosana PeiróCIBER Epidemiología y Salud Pública, Madrid, Spain.
Rafael Marcos-GrageraCIBER Epidemiología y Salud Pública, Madrid, Spain.
José M HuertaCIBER Epidemiología y Salud Pública, Madrid, Spain.
Adonina TardónCIBER Epidemiología y Salud Pública, Madrid, Spain.
Aurelio BarricarteCIBER Epidemiología y Salud Pública, Madrid, Spain.
Jone-Miren AltzibarCIBER Epidemiología y Salud Pública, Madrid, Spain.
Jessica Alonso-MoleroFacultad de Medicina, Universidad de Cantabria - IDIVAL, Avda Herrera Oria s/n, 39011, Santander, Spain.
Verónica Dávila-BatistaInstitute of Biomedicine (IBIOMED), University of León, León, Spain.
Nuria AragonésCIBER Epidemiología y Salud Pública, Madrid, Spain.
Marina PollánCIBER Epidemiología y Salud Pública, Madrid, Spain.
Manolis KogevinasCIBER Epidemiología y Salud Pública, Madrid, Spain.
Javier LlorcaCIBER Epidemiología y Salud Pública, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-steroidal anti-inflammatory drugs (NSAIDs) are widely used despite their risk of gastrointestinal bleeding or cardiovascular events. We report the profile of people taking NSAIDs in Spain, and we include demographic factors, health-related behaviours and cardiovascular disease history.

methodsFour thousand sixtyparticipants were selected using a pseudorandom number list from Family Practice lists in 12 Spanish provinces. They completed a face-to-face computerized interview on their NSAID consumption, demographic characteristics, body mass index, alcohol and tobacco consumption and medical history. In addition, participants completed a self-administered food-frequency and alcohol consumption questionnaire. Factors associated with ever and current NSAID consumption were identified by logistic regression.

resultsWomen consumed more non-aspirin NSAIDs (38.8% [36.7-41.0]) than men (22.3 [20.5-24.2]), but men consumed more aspirin (11.7% [10.3-13.2]) than women (5.2% [4.3-6.3]). Consumption of non-aspirin NSAIDs decrease with age from 44.2% (39.4-49.1) in younger than 45 to 21.1% (18.3-24.2) in older than 75, but the age-pattern for aspirin usage was the opposite. Aspirin was reported by about 11% patients, as being twice as used in men (11.7%) than in women (5.2%); its consumption increased with age from 1.7% (< 45 years old) to 12.4% (≥75 years old). Aspirin was strongly associated with the presence of cardiovascular risk factors or established cardiovascular disease, reaching odds ratios of 15.2 (7.4-31.2) in women with acute coronary syndrome, 13.3 (6.2-28.3) in women with strokes and 11.1 (7.8-15.9) in men with acute coronary syndrome. Participants with cardiovascular risk factors or diseases consumed as much non-aspirin NSAID as participants without such conditions.

conclusionsNon-aspirin NSAIDs were more consumed by women and aspirin by men. The age patterns of aspirin and non-aspirin NSAIDs were opposite: the higher the age, the lower the non-aspirin NSAIDs usage and the higher the aspirin consumption. People with cardiovascular risk factors or diseases consumed more aspirin, but they did not decrease their non-aspirin NSAIDs usage.

Indexed as

AdultAgedAge DistributionAnti-Inflammatory Agents, Non-SteroidalAspirinCardiovascular DiseasesCase-Control StudiesFemaleGastrointestinal HemorrhageHumansMaleMiddle AgedRisk FactorsSex DistributionSpainSurveys and QuestionnairesAnti-Inflammatory Agents, Non-SteroidalAspirinAspirinCardiovascular riskGastrointestinal bleedingNon-steroidal anti-inflammatory drugsPropionates

Identifiers

PMID30241493
PMCPMC6150967

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.