Clinical and Radiographic Assessment of The Young Adult With Symptomatic Hip Dysplasia
Bibliographic record
Abstract
Acetabular dysplasia is a major precursor of osteoarthritis of the hip. It is important to identify patients before the development of osteoarthritis, because these patients may be candidates for joint-preserving surgery, such as pelvic osteotomy. Patients with hip dysplasia, and no osteoarthritis, present with unique findings on history and physical examination. On history, patients should be questioned for symptoms unique to dysplasia, such as locking, snapping, and feelings of instability. Physical examination should look for signs of labral disease, by using the impingement test. Patients suspected of having symptomatic dysplasia should have plain radiographs, including an anteroposterior radiograph of the pelvis taken with the patient standing, a false profile view, and an abduction view of the hip. The anteroposterior radiograph of the pelvis and false profile view will help to quantify the degree of the dysplasia. The abduction view is important in determining the patient's eligibility for joint-preserving hip surgery. Computed tomography scanning and magnetic resonance imaging are reserved for patients who are operative candidates. Computed tomography scanning can aid in the planning of complex pelvic osteotomies. Magnetic resonance imaging especially is useful for delineating labral disease. It is this combination of history, physical examination, and radiographic workup that will allow successful treatment of the dysplastic hip before the development of osteoarthritis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".