Evidence map›Paper›PMID 31206748›Full record

ReviewBritish journal of clinical pharmacology2019

Pharmacoepidemiology: Using randomised control trials and observational studies in clinical decision-making.

Thomas M Caparrotta, James W Dear, Helen M Colhoun, David J Webb

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  20. Clinical epidemiology and pharmacoepidemiology studies with real-world databases.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2022
    Review
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

4 authors at 2 institutions in 1 country.

Thomas M CaparrottaInstitute of Genetics and Molecular Medicine, University of Edinburgh, UK.ORCID 0000-0001-9009-9179
James W DearQueen's Medical Research Institute, University of Edinburgh, UK.ORCID 0000-0002-8630-8625
Helen M ColhounInstitute of Genetics and Molecular Medicine, University of Edinburgh, UK.ORCID 0000-0002-8345-3288
David J WebbQueen's Medical Research Institute, University of Edinburgh, UK.ORCID 0000-0003-0755-1756
Institute of Genetics and Cancer · GBThe Queen's Medical Research Institute · GB

Funding

British Heart Foundation PG/13/26/30128
6 · The paper itself

Abstract

Weighing up sources of evidence is a key skill for clinical decision-makers. Randomised controlled trials (RCTs) and observational studies each have advantages and disadvantages, and in both cases perceived weaknesses can be improved through modifications of design and analysis. In the field of pharmacoepidemiology, RCTs are the best way to determine whether an intervention modifies an outcome being studied, largely because randomisation reduces bias and confounding. Observational studies are useful to investigate whether benefits/harms of a treatment are seen in day-to-day clinical practice in a wider group of patients. Although observational studies, even in a small cohort, can provide very useful clinical evidence, they may also be misleading (as shown by subsequent RCTs), in part because of allocation bias. There is an unmet need for clinicians to become well versed in appraising the study design and statistical analysis of observational pharmacoepidemiology (OP) studies, rather like the medical training already offered for RCT evaluation. This is because OP studies are likely to become more common with the computerisation of healthcare records and increasingly contribute to the evidence base available for clinical decision-making. However, when the results of an RCT conflict with the results of an OP study, the findings of the RCT should be preferred, especially if its findings have been repeated elsewhere. Conversely, OP studies that align with the findings of RCTs can provide rich and useful information to complement that generated by RCTs.

Indexed as

Clinical Decision-MakingData Interpretation, StatisticalHumansObservational Studies as TopicPharmacoepidemiologyRandomized Controlled Trials as TopicResearch Designclinical trial methodologyevidence-based medicinehealth policypharmacoepidemiologyquality use of medicines

Identifiers

PMID31206748
PMCPMC6710512
OpenAlexW2952571047

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.