Pitfalls in the clinical diagnosis of vertebral fractures: a case series in which posterior midline tenderness was absent
Bibliographic record
Abstract
OBJECTIVE: There is widespread belief among doctors that posterior midline tenderness is virtually a prerequisite for spinal fracture in alert, sober patients without any painful distracting injury or neurological deficit. This paper examines and challenges this belief. METHODS AND RESULTS: We present three patients in whom significant thoracic and lumbar vertebral fractures were missed, or were thought to be "old", because of lack of posterior midline tenderness. We also present two further patients, one with a lumbar spine fracture and one with a cervical spine fracture, in whom posterior midline tenderness was absent but in whom the correct diagnosis was made. All these patients were sober and fully alert and none had a neurological deficit or a painful distracting injury. CONCLUSION: The absence of posterior midline tenderness does not exclude significant spinal injury. We suggest that patients should satisfy both the Canadian and British guidelines before it is decided that imaging of the cervical spine is unnecessary.
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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 | 0.001 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".