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June 27, 2024  Contents Introduction Anatomy Biomechanics Clinical Presentation Pathogenesis Classification (Staging) Physical Examination Imaging Conservative Treatment Operative Treatment Controversy References Introduction Anatomy Biomechanics Clinical Presentation Pathogenesis Classification (Staging) Physical Examination Imaging Conservative Treatment Operative Treatment Controversy References [...] Read more...
June 27, 2024Term Definition Alpha threshold The scientific method tests hypotheses. We don’t actually prove our hypothesis, we set out to disprove the opposite (called the null hypothesis). And we don’t even get to actually disprove the the null hypothesis either; the best we can manage is to say that the probability of the null hypothesis being right is very low. How low is very low? That is in the eye of the beholder, and the beholder sets this level by defining the alpha threshold. In medicine, for historical and arbitrary reasons, we set alpha to be 0.05. That is, we are willing to accept the a 5% chance of a false positive study result, aka Type I error. If the p-value of a study is below alpha (p < 0.05, typically), the study results are said to be statistically significant. In some cases, it may make sense to set alpha even lower than 0.05; but that of course increases the risk of failing to reject a false null hypothesis, Type II error. As in many situations in clinical medicine, setting alpha is a compromise. One cannot "err on the side of caution" with a uniformly high or low threshold. The conservative approach depends on the clinical details. Incidence Incidence is a measure of the number of new cases of a disease that crop up in a population over a specified time interval. It is often confused with prevalence. Prevalence Prevalence is the fraction of the population with the disease, or the ratio of the number of people with the disease to the number of individuals in the population. Prevalence should not to be confused with incidence – the latter is a measure of new occurrences of a disease within a given time interval, whereas prevalence counts total cases, regardless of when they were contracted. Prevalence is typically greater than incidence, unless the disease is highly fatal. Mean The mean is the average value for all of the data points. Note that only continuous, not categorical, data can have a mean. The "mean result" of a series of 6 patients, 2 of whom were rated "bad", 2 "ok", and 2 "good" is not "ok"; rather, in that case, the term "mean" is meaningless (no pun intended). Median The median is the value of the "middle number" of the sorted data set; by definition, half of the values are above the median, and half are below. If there are 101 data points, the median is the value of sorted item number 51 (50 are below it and 50 are above). The median is also the 50th percentile. The median of the set (1,2,3,4,5,6,7,8,9) is obviously 5. The key to finding the median is sorting the set; the median of the set is not so obvious when not sorted: (8,5,6,1,2,7,4,9,3). Mode The mode is defined as the most frequently occurring value or item within a distribution. P-value This is a test statistic representing the probability that the null hypothesis (typically, the assumption the two groups are not different) is true. Hence, the lower the value, the more likely that the two groups are indeed different. Statistical significance When we say two sample means are different and that the difference is statistically significant, we are saying that the probability that the two means come from the same group is so low that we can ignore that possibility and consider that the samples represent groups that are indeed distinct. Ordinarily, one sets a standard for significance, called the alpha threshold, and then calculates a p- value of the results. The p-value is compared with the alpha threshold, and if the p-value is below alpha, the results are said to be statistically significant. Type I error A false positive. Example: A small (n=2) study of ankle fractures showed that ORIF leads to faster union than casting. In fact, if a larger study were undertaken, time to union would be the same. This is a Type I error. Type II error A false negative. Example: A small (n=2) study of ankle fractures showed that ORIF and casting have the same wound infection complication rate; zero in both groups. In fact, if a larger study were undertaken, wound infections would be found only in the surgical group. This is a Type II error. The Power of the Study is the ability to detect differences if they truly are present. Power increases with sample size. The small study size caused the error here. [...] Read more...
June 27, 2024Inborn Errors of Metabolism  Hurler’s Syndrome  Sanfilippos   Sickle cell anemia  OI II and III  Hypophosphatasia   Hereditary Vit. D dependent rickets   Diastrophic dysplasia   Metaphyseal chondrodysplasia  [...] Read more...
June 27, 2024Physical therapy for selected orthopaedic conditions Disorders of the rotator cuff Instability Labral injuries Adhesive capsulitis [...] Read more...

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Sensory innervation Description of sensory innervation Motor innervation Description of motor innervation Contributing spinal nerve roots List contributing spinal nerve roots, boldface major ones Course of nerve Description of course of nerve Clinical correlates Link to clinical conditions References Key references [...] Read more...
OrthopaedicsOne is led by co-founders Joseph Bernstein, MD, MS, FACS, and Christian Veillette MD, MSc, FRCSC. Joseph Bernstein, MD, MS, FACS Dr. Bernstein is a Clinical Associate Professor of Orthopaedic Surgery at the University of Pennsylvania School of Medicine, Philadelphia, Pa. A graduate of Columbia University Medical College, Dr. Bernstein did his internship, residency, and a fellowship in sports medicine and shoulder surgery at the Hospital of the University of Pennsylvania. Dr. Bernstein serves as the Director of Education for OrthopaedicsOne, as well as a Managing Editor. Christian Veillette MD, MSc, FRCSC Dr. Veillette, also a Managing Editor of OrthopaedicsOne and the site’s Director of Technology, is an Assistant Professor at the University of Toronto, Toronto, Ontario, Canada. He has an active shoulder and elbow reconstructive surgery practice at Toronto Western Hospital, part of the University Health Network in Toronto. Dr. Veillette is a graduate of the University of Calgary, and he completed his orthopaedic residency training at the University of Toronto, which included a Masters of Science degree as part of the Surgeon Scientist Program. He did two fellowships, one in upper extremity trauma and reconstruction (St. Michael’s Hospital, Toronto) and the other in shoulder and elbow arthroscopy and reconstruction (Mayo Clinic, Rochester, Minn.). Drs. Bernstein and Veillette are supported by an outstanding group of Editors and Associate Editors Section Editors Clinical Topics Johnny Lau W. Norman Scott Charles Day Matthew Dobbs Rick Papandrea Saad Chaudhary Paul Dougherty John Healey Professional Topics Mohit Bhandari Myles Clough Orrin Franko David Levine Associate Editors Eric Bluman Jonathan Deland Daniel Farber Vinod Panchbhavi Brian Straus Mary O’Connor Arlen Hanssen Vincent Pellegrini Stephanie Böhm Haemish A. Crawford Christopher Iobst Noppachart Limpaphayom Edward McFarland Steve Petersen Guido Marra Michael Vives Sheeraz Qureshi Thomas Mroz Jaimo Ahn Jay Wunder Peter Ferguson Contributors OrthopaedicsOne is privileged to host content from individual orthopaedic surgeons — from the very elite of the profession to trainees just getting started — and from orthopaedic organizations, including The Association of Bone and Joint Surgeons, the American Orthopaedic Foot and Ankle Surgeons, the Canadian Orthopaedic Association, and the International Congress for Joint Reconstruction. By posting their content on OrthopaedicsOne, these contributors have acknowledged that a new paradigm has emerged in orthopaedic publishing, one that is not bound by paper-and-ink traditions. Positioned at the forefront of this new paradigm, OrthopaedicsOne is charting the future of information and knowledge management in orthopaedic surgery. [...] Read more...
Arthrokinematics Ankle joint Elbow joint Foot Hand Hip joint Knee joint Sacroiliac joint Shoulder joint Spinal Wrist joint [...] Read more...
Origin Spine of ischium Insertion Obturator internus tendon Action(s) Rotates laterally thigh Nerve Supply Nerve to obturator internus (S1, S2, S3) Arterial Supply Inferior gluteal artery Physical Exam Enter physical examination maneuvers for muscle Clinical Importance Enter clinical importance of muscle Disease States Enter links to pages where muscle involved Discussion The superior gemellus muscle is a muscle of the human body. The Gemelli are two small muscular fasciculi, accessories to the tendon of the Obturator internus which is received into a groove between them. The Gemellus superior, the smaller of the two, arises from the outer surface of the spine of the ischium, blends with the upper part of the tendon of the Obturator internus, and is inserted with it into the medial surface of the greater trochanter. It is sometimes wanting. Figures Click thumbnail for larger image Credits: From Wikipedia: Superior gemellus Attachments: Superior gemellus.png (image/png) Superior gemellus.png (image/png) [...] Read more...
  Introduction Define/describe the condition Anatomy Describe the pertinent anatomy Pathogenesis Describe the biomechanics/biologic basis of the disorder or the mechanism of injury Natural History Describe the natural history, epidemiology and prognosis Clinical Presentation Describe the means to elicit the most useful information from the patient history and physical examination as well as the relevant findings Imaging and Diagnostic Studies Describe appropriate radiologic and other diagnostic studies Classification Include a list with links to relevant conditions Treatment Include: Medical therapy Nonoperative treatment Operative treatment – include links to pages with detailed surgical techniques Indications and contraindications Outcome Include functional and prosthetic survivorship data as applicable Complications Include overview of complications Pearls and Pitfalls Tips and problems to avoid Controversy Include current controversies in diagnosis or treatment References Insert selected references and landmark articles [...] Read more...

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