Evidence map›Paper›PMID 29736825›Full record

SynthesisEuropean journal of clinical pharmacology2018

Bleeding events attributable to concurrent use of warfarin and other medications in high-risk elderly: meta-analysis and Italian population-based investigation.

Rosanna Irene Comoretto, Federico Rea, Ersilia Lucenteforte, Alessandro Mugelli, Gianluca Trifirò, Silvia Cascini, Giuseppe Roberto, Alessandro Chinellato, Amelia Filippelli, Giovanni Corrao and 1 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical pharmacology, 2018. 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
1.0field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  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

11 authors at 6 institutions in 1 country.

Rosanna Irene ComorettoDepartment of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, Edificio U7, Milan, 20126, Italy. r.comoretto@campus.unimib.it.ORCID http://orcid.org/0000-0002-8601-1899
Federico ReaDepartment of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, Edificio U7, Milan, 20126, Italy.
Ersilia LucenteforteDepartment of Neurosciences, Psychology, Drug Research and Children's Health, University of Florence, Florence, Italy.
Alessandro MugelliDepartment of Neurosciences, Psychology, Drug Research and Children's Health, University of Florence, Florence, Italy.
Gianluca TrifiròDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
Silvia CasciniDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Giuseppe RobertoEpidemiology Unit, Regional Agency for Healthcare Services of Tuscany, Florence, Italy.
Alessandro ChinellatoTreviso Local Health Unit, Treviso, Italy.
Amelia FilippelliPharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Salerno, Italy.
Giovanni CorraoDepartment of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, Edificio U7, Milan, 20126, Italy.
Italian Group for Appropriate Drug prescription in the Elderly (I-GrADE)
University of Milano-Bicocca · ITUniversity of Florence · ITUniversity of Messina · ITUniversity of Salerno · ITAgenzia Regionale di Sanità della Toscana · ITAULSS 2 Marca Trevigiana · IT

Funding

AIFA FARM9LBBBL
6 · The paper itself

Abstract

purposeThe aim of this study was to estimate the proportion of bleedings that occurred among warfarin users attributable to the concomitant use of other medications. A general approach for measuring the impact of the prescriptive inappropriateness on drug adverse outcomes at the population level is described.

methodsA meta-analysis was conducted to obtain summary relative risks of bleeding associated with concurrent use of warfarin and other medications compared to warfarin use alone. A population-based investigation was performed, in an Italian cohort of cardiopathic patients aged 65 years or older, to estimate the prevalence of concurrent users of warfarin and other medicaments. The population attributable fraction was computed by combining data on summary relative risks and prevalence of concurrent users.

resultsConcomitant use of warfarin and cotrimoxazole, amiodarone, quinolones, macrolides, platelet aggregation inhibitors, SSRIs, NSAIDs, and lipid-lowering agents was associated with an increased risk of bleeding. The corresponding attributable fractions were 3% (95% CI 2 to 4%), 21% (1 to 41%), 21% (17 to 25%), 9% (8 to 10%), 14% (12 to 16%), 6% (5 to 8%), 10% (1 to 20%), and 8% (0 to 18%), respectively.

conclusionsMore than half of bleeding events occurring among frail elderly using warfarin are attributable to a concomitant use of warfarin with certain drugs. Because some of these drugs appear to be essential for the treatment/prevention of cardiovascular conditions, and their concomitant use with warfarin could be acceptable in some cases, proper INR-monitoring and warfarin dose adjustments are requested.

Indexed as

AgedAge FactorsAnticoagulantsDrug InteractionsDrug Therapy, CombinationFemaleHemorrhageHumansMaleWarfarinAnticoagulantsWarfarinAttributable fractionBleeding riskDrug-drug interactionElderly patientsWarfarin

Identifiers

PMID29736825
OpenAlexW2802596847

What OpenQuestion holds

Textmetadata
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.