The Role of Back Injury or Trauma in Lumbar Disc Degeneration
Bibliographic record
Abstract
In Brief Study Design. Exposure discordant twin study. Objective. To investigate the effect of injury on lumbar disc degeneration in monozygotic twins with discordant exposures to recalled previous injury/trauma to the lumbar spine. Summary of Background Data. Disc degeneration is considered a primary source of low back pain. Despite this, important determinants of disc degeneration other than genotype have not been identified. One possible important determinant of disc degeneration that has undergone limited investigation is previous back injury. Methods. We compared disc degeneration between 37 male monozygotic twin pairs with discordant exposures to recalled previous injury/trauma to the lumbar spine. Data on injury history were obtained through an extensive structured interview. Disc degeneration was assessed using quantitative measures of disc height and disc signal intensity. Results. Disc degeneration did not differ between twins who reported previous back injury and their uninjured cotwins. This finding was consistent for both disc height and disc signal intensity regardless of whether mean scores or greatest difference at any one lumbar level was used in the analysis. Disc height averaged 0.3 mm higher in the injured twin (P = 0.302), and was on average 0.05% higher at the level of the greatest cotwin difference (P = 0.302). There was no evidence that greater period since injury resulted in greater twin differences in disc degeneration. Conclusion. The current study suggests that back injury based on patient report is not an important predictor of future disc degeneration. This study investigated the effect of injury on lumbar disc degeneration in monozygotic twins with discordant exposures to recalled previous injury/trauma to the lumbar spine. Disc degeneration, measured as disc height or signal intensity, did not differ between twins who reported previous back trauma/injury and their uninjured cotwins.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".