Evidence mapPaperPMID 28886089Full record

ArticlePloS one2017

Drug exposure in register-based research-An expert-opinion based evaluation of methods.

Antti Tanskanen, Heidi Taipale, Marjaana Koponen, Anna-Maija Tolppanen, Sirpa Hartikainen, Riitta Ahonen, Jari Tiihonen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Long-term thiazide use and risk of low-energy fractures among persons with Alzheimer's disease-nested case-control study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Article
  14. Article
  15. 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

7 authors at 1 institution in 2 countries.

Antti TanskanenKarolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3795-3126
Heidi TaipaleKarolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.
Marjaana KoponenKuopio Research Centre of Geriatric Care, University of Eastern Finland, Kuopio, Finland.
Anna-Maija TolppanenSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.
Sirpa HartikainenKuopio Research Centre of Geriatric Care, University of Eastern Finland, Kuopio, Finland.
Riitta AhonenSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.
Jari TiihonenKarolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.
University of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn register-based pharmacoepidemiological studies, construction of drug exposure periods from drug purchases is a major methodological challenge. Various methods have been applied but their validity is rarely evaluated. Our objective was to conduct an expert-opinion based evaluation of the correctness of drug use periods produced by different methods.

methodsDrug use periods were calculated with three fixed methods: time windows, assumption of one Defined Daily Dose (DDD) per day and one tablet per day, and with PRE2DUP that is based on modelling of individual drug purchasing behavior. Expert-opinion based evaluation was conducted with 200 randomly selected purchase histories of warfarin, bisoprolol, simvastatin, risperidone and mirtazapine in the MEDALZ-2005 cohort (28,093 persons with Alzheimer's disease). Two experts reviewed purchase histories and judged which methods had joined correct purchases and gave correct duration for each of 1000 drug exposure periods.

resultsThe evaluated correctness of drug use periods was 70-94% for PRE2DUP, and depending on grace periods and time window lengths 0-73% for tablet methods, 0-41% for DDD methods and 0-11% for time window methods. The highest rate of evaluated correct solutions for each method class were observed for 1 tablet per day with 180 days grace period (TAB_1_180, 43-73%), and 1 DDD per day with 180 days grace period (1-41%). Time window methods produced at maximum only 11% correct solutions. The best performing fixed method TAB_1_180 reached highest correctness for simvastatin 73% (95% CI 65-81%) whereas 89% (95% CI 84-94%) of PRE2DUP periods were judged as correct.

conclusionsThis study shows inaccuracy of fixed methods and the urgent need for new data-driven methods. In the expert-opinion based evaluation, the lowest error rates were observed with data-driven method PRE2DUP.

Indexed as

PharmacoepidemiologyResearchDrug PrescriptionsDrug UtilizationHumansMedication ErrorsTime Factors

Identifiers

PMID28886089
PMCPMC5590868
OpenAlexW2751968896

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.