ArticleBritish journal of clinical pharmacology2011
Using primary care prescribing databases for pharmacovigilance.
Article in British journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.BMC medical informatics and decision making · 2017Pooled it
- Views of healthcare professionals to linkage of routinely collected healthcare data: a systematic literature review.Journal of the American Medical Informatics Association : JAMIA · 2014Pooled it
- Stimulant Therapy in Acute Traumatic Brain Injury: Prescribing Patterns and Adverse Event Rates at 2 Level 1 Trauma Centers.Journal of intensive care medicine · 2020Article
- Learning to detect and understand drug discontinuation events from clinical narratives.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Unplanned medication discontinuation as a potential pharmacovigilance signal: a nested young person cohort study.BMC pharmacology & toxicology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsIn the UK, adverse drug reactions (ADRs) are responsible for over 6.5% of all hospital admissions, representing a significant morbidity and cost burden to the health service. We aimed to develop an ADR monitoring system capable of identifying the reasons for patient discontinuation of drug therapy within 6 months of the index prescription.
methodsPatients first prescribed amlodipine between 1 March 2004 and 28 February 2007 who discontinued their amlodipine medication within 6 months of the index prescription were identified from the practice team information (PTI) database. Once identified, reasons for amlodipine discontinuation were assessed by an electronic database search using relevant Readcodes and key words and by a direct approach to the primary care medical records.
resultsThe PTI database identified 995 patients [61.4% females, mean age 65.9 years (SD 12.4 years)] who discontinued amlodipine within 6 months of an index prescription. An electronic search of the database, using Readcodes, identified that 19.4% (193) of patients who discontinued their medication had an ADR recorded in the database. Six (20%) of 30 participating primary care practices, contributing to the PTI database, agreed to be approached directly and supply the reasons for discontinuation for the 51 patients identified as having discontinued amlodipine in their practices. Completed data were returned for all 51 patients, 98% of whom discontinued amlodipine due to an ADR or adverse drug event.
conclusionsThe results of this study confirm that primary care prescribing databases can be easily used to identify the frequency and nature of ADRs occurring in an ADR-enriched population identified through medication discontinuation.
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