Evaluation of persistent pain after hip resurfacing.
Bibliographic record
Abstract
Evaluation and treatment of pain following hip resurfacing arthroplasty can be challenging, even for the most experienced arthroplasty surgeon. As in any total hip replacement, there are a number of investigative tools at the disposal of orthopaedic surgeons to elicit the underlying causes of pain for diagnosis and treatment. A detailed history and physical examination are the most important first steps in the differential diagnosis of the intrinsic and extrinsic etiologies of hip pain. Serial radiographs from the time of surgery also should be reviewed and compared for changes indicative of loosening, migration, and osteolysis, in combination or alone. Diagnostic injections with local anesthetic agents additionally can be performed to localize the origin of pain. Bone scintigraphy, hip joint aspiration, and laboratory tests, including erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), should be requested routinely to exclude an occult infection. The use of ultrasound (US), magnetic resonance imaging (MRI), and even hip arthroscopy has been suggested as potential diagnostic tools when metal sensitivity is suspected. Relative to cause, femoral neck fractures and the possibility of metal hypersensitivity as sources of persistent groin pain should always be considered in metal-on-metal hip resurfacing. Additionally, iliopsoas tendinopathy and anterior impingement of the femoral neck are well-recognized causes of pain and should be included in the differential diagnosis. Surface arthroplasty is becoming an acceptable alternative to standard total hip replacement in young patients. It is increasingly essential to recognize the different causes of pain following resurfacing in order to make an accurate diagnosis and initiate timely, appropriate treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".