Evidence map›Paper›PMID 34247270›Full record

ReviewEuropean journal of clinical pharmacology2021

Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources.

Marianne Meaidi, Henrik Støvring, Klaus Rostgaard, Christian Torp-Pedersen, Kristian Hay Kragholm, Morten Andersen, Maurizio Sessa

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

12 citing papers in PubMed.

  1. Antifungal Dispensing in Denmark: Patterns Across Primary Care, Secondary Care, and Over-the-Counter Sectors.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
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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

7 authors.

Marianne MeaidiDepartment of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, København Ø, Denmark.
Henrik StøvringDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Klaus RostgaardDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Christian Torp-PedersenDepartment of Clinical Research, Nordsjællands Hospital, Hillerød, Denmark.
Kristian Hay KragholmDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Morten AndersenDepartment of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, København Ø, Denmark.
Maurizio SessaDepartment of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, København Ø, Denmark. maurizio.sessa@sund.ku.dk.ORCID http://orcid.org/0000-0003-0874-4744

Funding

Novo Nordisk Fonden (DK) NNF15SA0018404
6 · The paper itself

Abstract

purposeIn pharmacoepidemiology, correctly defining the exposure period of pharmacological treatment is a challenging step when information on the time in treatment is missing or incomplete.

methodsIn this review, we describe several methods for defining exposure to pharmacological treatments using secondary data sources that lack such information. RESULTS AND

conclusionSeveral methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.

Indexed as

Data CollectionDrug PrescriptionsDrug UtilizationHumansPharmacoepidemiologyPrescription DrugsPrescription DrugsAdherencePersistencePharmacoepidemiologySecondary data sourcesTreatment episode duration

Identifiers

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.