Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 172

The DOI matches its Crossref record.

Guidelines, polypharmacy, and drug-drug interactions in patients with multimorbidity

Marengoni, A., Onder, G.·2015·BMJ

Abstract

A cascade of failure Polypharmacy, defined as the chronic co-prescription of several drugs, is often the consequence of the application of disease specific guidelines, targeting disease specific goals, to patients with multiple chronic diseases. One common consequence of polypharmacy is the high rate of adverse drug reactions, mainly from drug-drug interactions (the ability of a drug to modify the action or effect of another drug administered successively or simultaneously).1 The risk of a drug-drug interaction in any particular patient increases with the number of co-existing diseases and the number of drugs prescribed.2 In a linked paper, Dumbreck and colleagues (doi:10.1136/bmj.h949) selected three clinical guidelines produced by the National Institute for Health and Care Excellence (NICE)—type 2 diabetes, heart failure, and depression—and systematically looked for possible drug-disease and drug-drug interactions in relation to another 11 NICE guidelines for potentially comorbid chronic conditions.3 Drug-disease interactions were relatively uncommon and mostly occurred between the recommended drug and chronic kidney disease. But the authors identified many potentially serious drug-drug interactions, most of which were overlooked by the index guideline. In general, few disease specific guidelines consider that target patients can also have other diseases, treated …

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmj.h1059

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 172

Metadata

Authors
Marengoni, A., & Onder, G.
Venue
BMJ
Publisher
BMJ
Published
2015-03-11
Volume
350
Issue
mar11 4
Pages
h1059-h1059
ISSN
1756-1833 (ISSN-L)
OpenAlex
W2075394440
Cited by
172
References
0
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Guidelines, polypharmacy, and drug-drug interactions in patients with multimorbidity. https://app.cochat.ai/papers/10.1136/bmj.h1059
The paper
Marengoni, A., & Onder, G. (2015). Guidelines, polypharmacy, and drug-drug interactions in patients with multimorbidity. BMJ. https://doi.org/10.1136/bmj.h1059

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.