Evidence map›Paper›PMID 26621515›Full record

ArticleBMJ open2015

Identification of antithrombotic drugs related to total joint replacement using anonymised free-text notes: a search strategy in the Clinical Practice Research Datalink.

Johannes Th Nielen, Bart J F van den Bemt, Annelies Boonen, Pieter C Dagnelie, Pieter J Emans, Nicole Veldhorst, Arief Lalmohamed, Tjeerd-Pieter van Staa, Frank de Vries

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 1 country.

Johannes Th NielenDivision of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
Bart J F van den BemtDepartment of Pharmacy, Sint Maartenskliniek, Nijmegen, The Netherlands Department of Pharmacy, Radboud University Medical Center, Nijmegen, The Netherlands.
Annelies BoonenDepartment of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Pieter C DagnelieDepartment of Epidemiology, CAPHRI School for Public Health and Primary Care, and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
Pieter J EmansDepartment of Orthopaedics, Maastricht University Medical Center, Maastricht, The Netherlands.
Nicole VeldhorstDepartment of Clinical Pharmacy and Toxicology, Maastricht University Medical Center, Maastricht, The Netherlands.
Arief LalmohamedDepartment of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands.
Tjeerd-Pieter van StaaDivision of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands.
Frank de VriesDivision of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands Department of Clinical Pharmacy and Toxicology, Maastricht University Medical Center, Maastricht, The Netherlands.
Maastricht University · NLUtrecht University · NLMaastricht University Medical Centre · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NL

Funding

Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

objectivesWe aimed to design and test a method to extract information on antithrombotic therapy from anonymised free-text notes in the Clinical Practice Research Datalink (CPRD).

settingGeneral practice database representative of the UK.

participantsAll patients undergoing total hip replacement (THR, n=25,898) or total knee replacement (TKR, n=22,231) between January 2008 and October 2012 were included. Antithrombotic drug use related to THR or TKR was identified using anonymised free text and prescription data. PRIMARY AND SECONDARY OUTCOME MEASURES: Internal validity of our newly designed method was determined by calculating positive predictive values (PPVs) of hits for predefined keywords in a random sample of anonymised free-text notes. In order to determine potential detection bias, total joint replacement (TJR) patient characteristics were compared as per their status of exposure to antithrombotics.

resultsPPVs ranging between 97% and 99% for new oral anticoagulants (NOAC) or low-molecular weight heparins (LMWH) exposure related to TJR were obtained with our method. Our search strategy increased detection rates by 57%, yielding a total proportion of 18.5% of all THR and 18.6% of all TKR surgeries. Identified users of NOACs and LMWHs were largely similar with regards to age, sex, lifestyle, disease and drug history compared to patients without identified drug use.

conclusionsWe have developed a useful method to identify additional exposure to NOACs or LMWHs with TJR surgery.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeAdolescentAdultAgedAnticoagulantsDatabases, FactualDrug UtilizationFemaleFibrinolytic AgentsHumansMaleMiddle AgedYoung AdultAnticoagulantsFibrinolytic AgentsEPIDEMIOLOGYORTHOPAEDIC & TRAUMA SURGERYSTATISTICS & RESEARCH METHODS

Identifiers

PMID26621515
PMCPMC4679841
OpenAlexW2189528707

What OpenQuestion holds

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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.