Diagnostic use of infrared thermography in a patient with chronic pain following electrocution: a case report
Bibliographic record
Abstract
Survival after severe electrocution is uncommon but chronic pain after such trauma is rare. We present a case report of an individual in whom the only modality providing objective evidence of pain related injury was infrared thermography. A 35-year-old Caucasian woman presented to the Calgary Health Region Chronic Pain Centre with severe pain in her left hand and foot following electrocution. All previous clinical and neurological testing had been normal. Infrared thermography demonstrated a significant reduction in temperature in the regions affected on her left hand and foot. Pain was reduced with the use of pregabalin but without changes to thermal differences in the affected limbs. It would appear from this case report that infrared thermography may be of use in the documentation of abnormalities associated with chronic pain following survival after electrocution. Pregabalin may be of benefit in pain reduction after electrocution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".