Evidence map›Paper›PMID 31375622›Full record

ArticleBMJ open2019

Do β-adrenoreceptor blocking drugs associate with reduced risk of symptomatic osteoarthritis and total joint replacement in the general population? A primary care-based, prospective cohort study using the Clinical Practice Research Datalink.

Georgina Nakafero, Matthew Grainge, Ana Valdes, Nick Townsend, Christian Mallen, Weiya Zhang, Michael Doherty, Mamas A Mamas, Abhishek Abhishek

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 4 institutions in 1 country.

Georgina NakaferoAcademic Rheumatology, University of Nottingham, Nottingham, UK.
Matthew GraingeDivision of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
Ana ValdesAcademic Rheumatology, University of Nottingham, Nottingham, UK.
Nick TownsendUniversity of Bath, Bath, UK.
Christian MallenArthritis Research UK Primary Care Centre, Keele University, Keele, UK.
Weiya ZhangAcademic Rheumatology, University of Nottingham, Nottingham, UK.
Michael DohertyAcademic Rheumatology, University of Nottingham, Nottingham, UK.
Mamas A MamasResearch Institute for Primary Care and Health Sciences, Keele University, Newcastle, UK.
Abhishek AbhishekAcademic Rheumatology, University of Nottingham, Nottingham, UK Abhishek.abhishek@nottingham.ac.uk.
University of Nottingham · GBKeele University · GBNottingham Biomedical Research Centre · GBUniversity of Bath · GB

Funding

Department of Health PB-PG-0816-20025Department of Health RP_2014-04-026Department of Health RP-PG-0617-20005
6 · The paper itself

Abstract

introductionTo investigate if β-adrenoreceptor blocking drug (β-blocker) prescription reduces the risk of knee or hip osteoarthritis, total joint replacement and analgesic prescription.

settingPrimary care. METHODS AND ANALYSIS: This is a cohort study using data from the Clinical Practice Research Datalink. Two separate analyses will be performed. Study 1 will be on the association between β-blocker prescription and incident knee/hip osteoarthritis. Inclusion criteria will be age ≥40 years. Exposed participants will be those with ≥2 continuous β-blocker prescriptions, and the index date will be the date of the first prescription of β-blocker. Unexposed participants will include up to four controls matched for age, sex, general practice surgery and propensity score for β-blocker prescription. Exclusion criteria will include contraindications to β-blockers, consultations for osteoarthritis or potent analgesic prescription before the index date. Outcomes will be knee osteoarthritis (primary outcome), hip osteoarthritis, knee pain and hip pain. Study 2 will be on the association between β-blocker prescription and total joint replacement and analgesic prescription in people with osteoarthritis. Inclusion criteria will be age ≥40 years, knee or hip osteoarthritis, and index date will be as in study 1. Unexposed participants will be as in study 1, additionally matched for consultation for knee or hip osteoarthritis prior to the index date. Exclusion criteria will include contraindications to β-blockers and osteoarthritis in other joints prior to the index date. Outcomes will be total knee replacement (primary outcome), total hip replacement and new analgesic prescription. STATISTICAL ANALYSIS: Kaplan-Meier curves will be plotted, and Cox proportional HRs and 95% CIs will be calculated. Stratified analysis will be performed by class of β-blocker, intrinsic sympathomimetic effect and indication(s) for prescription. ETHICS AND DISSEMINATION: This study was ethically approved by the Independent Scientific Advisory Committee of the Medicines and Healthcare Authority (Ref 18_227R). The results of this study will be published in peer-reviewed journals and presented at conferences. SUMMARY: This prospective cohort study will evaluate the analgesic potential of commonly used drugs for osteoarthritis pain.

Indexed as

Risk Reduction BehaviorAdrenergic beta-AntagonistsAnalgesicsArthralgiaArthroplasty, Replacement, HipArthroplasty, Replacement, KneeDrug Therapy, CombinationHumansKaplan-Meier EstimateOsteoarthritis, HipOsteoarthritis, KneePrimary Health CareProportional Hazards ModelsProspective StudiesResearch DesignAdrenergic beta-AntagonistsAnalgesicsanalgesiaanti-hypertensivesosteoarthritispaintotal joint replacement

Identifiers

PMID31375622
PMCPMC6688671
OpenAlexW2966163096

What OpenQuestion 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 OpenQuestion graph.