Recent editorial in the CORR was about EQUATOR guidelines and the editors write: Since reporting guidelines rely on consensual scientific principles and evidence-based research, consulting them before beginning a project will tend to cause clinician scientists to consider why an element of a checklist is included; doing so inevitably results in discussion and consideration of […]
Tag: statistics
Fragility Index – Why?
Fragility Index is a completely useless metric. Literature is filled with studies claiming that findings in some field in medicine are fragile. Maldano et al conclude: A systematic survey of hip arthroscopy RCTs resulted in a low FI, indicating that the findings tended to be fragile. What is the point to calculate FI for outcomes […]
More well developed orthopaedic prediction models
It seems that appropriate methodology in the development of prediction models is becoming more common in our field. These two recent studies caught my attention: Development of a model to predict the probability of incurring a complication during spine surgery and Prediction of 90-day mortality after total hip arthroplasty. Both studies report calibration performance and […]
Mesmerized by clinical prediction models
I am not a surgical oncologist but I came across with this study: A deep survival interpretable radiomics model of hepatocellular carcinoma patients. Authors conclude: In summary, novel deep radiomic analysis provides improved performance for risk assessment of HCC prognosis compared with Cox survival models and may facilitate stratification of HCC patients and personalization of […]
Implications of binomial distribution in the daily orthopaedic practice
Deep infection is a devastating complication in the orthopaedic surgery. It usually requires a revision surgery and a risk for further complications increases greatly. Functional outcome is usually much worse after deep infection compared to uneventful primary surgery especially if removal of implants is required to eridicate the infection. Deep infection are often systematically recorded […]
How to investigate “novel techniques”?
I liked the study by Lapner et al. very much. Their study was titled “Preoperative bone marrow stimulation does not improve functional outcomes in arthroscopic cuff repair: a prospective randomized controlled trial”. They proposed a new concept to improve healing of rotator cuff repair. Authors hypothesized that preoperative ultrasound-guided bone channeling in the footprint 5-7 […]
What sort of improvement we need in our research?
This is not a new study but I came across to this study by Brophy et al. titled “Update on the Methodological Quality of Research Published in The American Journal of Sports Medicine“. They concluded: Despite a dramatic increase in the number of published articles, the research published in AJSM shifted toward more prospective, randomized, […]
Rules of thumb or just rules in statistics?
I just had to blog this tweet because it encapsulates so many things which are lost in modern biomedical research:
When you thought you had seen it all…
I follow regularly the field of sports surgery and new studies published in that subspecialty. It seems the true research gems are only seen in sports surgery… I introduce the recent top 2 studies in this and subsequent post. I have research interest in ACL reconstruction studies and this study published in the American Journal […]
Why do we need randomized trials?
Discussion about randomized controlled trials (RCT) has been extensive in social media during this spring due to corona virus epidemic. This discussion was especially heated when “not so good” clinical trial was published stating that hydroxychloroquine is efficient in the treatment of corona virus disease (CoViD-19). I drew this picture and posted it on Twitter. […]