ArticleActa orthopaedica2011
Different competing risks models applied to data from the Australian Orthopaedic Association National Joint Replacement Registry.
Article in Acta orthopaedica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- High revision rate of metal-backed glenoid component and impact on the overall revision rate of stemless total shoulder arthroplasty: a cohort study from the Danish Shoulder Arthroplasty Registry.Acta orthopaedica · 2024Article
- Reoperation and revision rates at ten years after 1,312 cemented Thompson's hemiarthroplasties : any need to change to a different implant?Bone & joint open · 2022Article
- Competing Risk Analysis: What Does It Mean and When Do We Need It in Orthopedics Research?The Journal of arthroplasty · 2021Article
- Different competing risks models for different questions may give similar results in arthroplasty registers in the presence of few events.Acta orthopaedica · 2018Article
- The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data.Acta orthopaedica · 2017Article
- Sex differences in risk and heritability estimates on primary knee osteoarthritis leading to total knee arthroplasty: a nationwide population based follow up study in Danish twins.Arthritis research & therapy · 2016Article
- Probability and heritability estimates on primary osteoarthritis of the hip leading to total hip arthroplasty: a nationwide population based follow-up study in Danish twins.Arthritis research & therapy · 2015Article
- Cemented Thompson's hemiarthroplasty in patients with intracapsular neck of femur fractures: survival analysis of 1,670 procedures.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2015Article
- Pelvic irradiation does not increase the risk of hip replacement in patients with gynecological cancer. A cohort study based on 8,507 patients.Acta orthopaedica · 2014Article
- Increasing age and female gender are associated with early knee replacement following arthroscopy.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2014Article
- How to deal with lost to follow-up in total knee arthroplasty : a new method based on the competing risks approach.International orthopaedics · 2014Article
- Mortality and implant revision rates of hip arthroplasty in patients with osteoarthritis: registry based cohort study.BMJ (Clinical research ed.) · 2012Article
- Hemiarthroplasties after hip fractures in Norway and Sweden: a collaboration between the Norwegian and Swedish national registries.Hip international : the journal of clinical and experimental research on hip pathology and therapyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeHere we describe some available statistical models and illustrate their use for analysis of arthroplasty registry data in the presence of the competing risk of death, when the influence of covariates on the revision rate may be different to the influence on the probability (that is, risk) of the occurrence of revision. PATIENTS AND
methodsRecords of 12,525 patients aged 75-84 years who had received hemiarthroplasty for fractured neck of femur were obtained from the Australian Orthopaedic Association National Joint Replacement Registry. The covariates whose effects we investigated were: age, sex, type of prosthesis, and type of fixation (cementless or cemented). Extensions of competing risk regression models were implemented, allowing the effects of some covariates to vary with time.
resultsThe revision rate was significantly higher for patients with unipolar than bipolar prostheses (HR = 1.38, 95% CI: 1.01-1.89) or with monoblock than bipolar prostheses (HR = 1.45, 95% CI: 1.08-1.94). It was significantly higher for the younger age group (75-79 years) than for the older one (80-84 years) (HR = 1.28, 95% CI: 1.05-1.56) and higher for males than for females (HR = 1.37, 95% CI: 1.09-1.71). The probability of revision, after correction for the competing risk of death, was only significantly higher for unipolar prostheses than for bipolar prostheses, and higher for the younger age group. The effect of fixation type varied with time; initially, there was a higher probability of revision for cementless prostheses than for cemented prostheses, which disappeared after approximately 1.5 years.
interpretationWhen accounting for the competing risk of death, the covariates type of prosthesis and sex influenced the rate of revision differently to the probability of revision. We advocate the use of appropriate analysis tools in the presence of competing risks and when covariates have time-dependent effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.