Evidence map›Paper›PMID 10759693›Full record

ArticleBritish journal of clinical pharmacology2000

Drug interactions avoided-a useful indicator of good prescribing practice.

D Williams, A Kelly, J Feely

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Factor analysis improves the selection of prescribing indicators.European journal of clinical pharmacology · 2006
    Article
  3. 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

3 authors at 1 institution in 1 country.

D WilliamsDepartments of Pharmacology and Therapeutics and Community Health and General Practice, Trinity College, Dublin 2, Ireland. williamd@tcd.i.e
A Kelly
J Feely
Trinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo develop an index of quality prescribing in general practice by investigating the incidence of potential drug interactions when medicines were coprescribed within the State supported General Medical Services (GMS) in Ireland.

methodsWe determined an odds ratio (OR), as a measure of the relative risk of being exposed to a potential interaction, comparing the use of the H2-receptor antagonist, cimetidine, with that of the noninteracting agents ranitidine, famotidine and nizatidine in users and nonusers of warfarin, phenytoin and theophylline. RESULTS AND

conclusionsIn 86 510 prescriptions for the H2-receptor antagonists potentially interacting drugs were dispensed to 8188 (9%) patients in the Eastern Health Board Region of the GMS. We found that prescribers were significantly less likely to use cimetidine (OR = 0.20,95% CI 0. 17-0.21, P < 0.001) in those patients who were coprescribed warfarin, suggesting good prescribing practice within the GMS. Similarly there was preferential use of the noninteracting H2-receptor antagonists in patients receiving phenytoin or theophylline and the extent of this selective prescribing was in keeping with the rank order of severity of interaction with these drugs. This novel pharmacological index may be a sensitive marker of good prescribing practice.

Indexed as

Drug InteractionsAnticoagulantsAnticonvulsantsCimetidineDrug PrescriptionsHistamine H2 AntagonistsHumansIrelandOdds RatioPhenytoinTheophyllineVasodilator AgentsWarfarinAnticoagulantsAnticonvulsantsCimetidineHistamine H2 AntagonistsPhenytoinTheophyllineVasodilator AgentsWarfarin

Identifiers

PMID10759693
PMCPMC2014934
OpenAlexW1635194085

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.