The results of core decompression treatment in patients with avascular necrosis of femoral head in patients at Isfahan City educational hospitals in 2010-2011
Bibliographic record
Abstract
BACKGROUND: Avascular necrosis (AVN) of femoral head is one of the multifactorial pathologies, which can disturb hip joint and its range of motion. There have been several therapeutic methods for this pathology, but the results are controversial. Some studies show that core compression prevents the progress of the disease and its symptoms. This study aims to explore this issue. MATERIALS AND METHODS: This clinical trial was conducted on patients who were diagnosed with AVN of femoral head stage I, IIA, at educational hospitals of Isfahan in 2010. The patients who met the inclusion criteria and suffered from AVN of femoral head stage I, IIA for any reason (primary or secondary), entered the study. Six and 12 months after surgery, final assessment in terms of range of motion, return to work, and severity of pain based on vancouver associated score (VAS) was made and recorded. The duration of hospitalization and rate of infection were also recorded. The data were entered into and analyzed by the SPSS software. RESULTS: Mean and standard deviation of pain severity before surgery was 6.82 ± 1.74 in the participants. After 6 months, pain severity reduced to 4.05 ± 1.29, and after 12 months, it reached 2.41 ± 1.82. On the basis of analysis of variance with repeated observation, the severity of pain was significantly reduced in 1 year (P<0.001). CONCLUSION: It can be concluded that core decompression in patients with AVN of femoral head stage I, IIA can improve pain in hip area and increase range of motion.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".