Evidence map›Paper›PMID 20135228›Full record

ArticlePharmacy world & science : PWS2010

Potential drug-drug interactions and radiodiagnostic procedures: an in-hospital survey.

F Lapi, M Vietri, M Moschini, E Cecchi, A Pugi, E Lucenteforte, G Banchelli, M Di Pirro, E Gallo, A Mugelli and 1 more

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Article in Pharmacy world & science : PWS, 2010. 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
–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

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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.

  1. Article
4 · The record

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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.

F LapiTuscan Regional Centre of Pharmacovigilance, Department of Pharmacology, University of Florence, Viale G. Pieraccini No. 6, 50139, Florence, Italy. francesco.lapi@unifi.it
M Vietri
M Moschini
E Cecchi
A Pugi
E Lucenteforte
G Banchelli
M Di Pirro
E Gallo
A Mugelli
A Vannacci

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the type, frequency, severity and predictors of potential Drug-Drug Interactions (DDIs) in a cohort of patients undergoing radiodiagnostic procedures.

settingEight Radiology wards located in Tuscany (Italy).

methodsAll participants exposed to at least two medications were included in the analysis. DDIs were grouped according to their severity as 'minor', 'moderate' or 'major'. A logistic model was used to estimate Odds Ratios and 95% Confidence Intervals for all predictors of potential DDI.

main outcome measuresType and predictors of potential DDI in a cohort of patients undergoing radiodiagnostic procedures.

resultsOne-thousand-and-two subjects (57.6% females; mean age: 67.3 +/- 12.2) entered the analysis, and 46.1% of them incurred in a potential DDI (78.9% 'moderate' in severity). The combination of allopurinol and ACE-inhibitors was the most frequent (21/153) among major potential DDIs, while steroids were involved in all cases of potential DDI due to premedication. Co-morbidity, number of co-medications, advanced age and premedication use increased the risk of potential DDI; a protective role was found for positive history of allergy. When the analysis was restricted to subjects with premedication (n = 93), only 12.9% of them reported a potential DDI directly attributable to premedication drugs.

conclusionsAmong patients undergoing radiological examination, types and predictors of potential DDIs appeared in agreement with other kind of in-hospital populations. Premedication revealed to be a proxy predictor for potential DDIs. Considering the poor capability of the prescriber in recognizing interactions, their systematic evaluation (using an informatics tool) in patients undergoing radiological examination might be helpful in preventing the occurrence of clinically relevant DDIs.

Indexed as

Drug InteractionsMagnetic Resonance ImagingAgedAge FactorsCohort StudiesComorbidityFemaleHospital AdministrationHumansMaleMiddle AgedPolypharmacyPremedicationRadiography

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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.