Rare subtype of multiple myeloma presenting as sacroiliac joint pain in an avid golfer: a case report.
Bibliographic record
Abstract
OBJECTIVE: Kappa (κ) light chain multiple myeloma can be disguised as low back pain (LBP), and as such may present to a primary contact provider such as a chiropractor. The rarity and non-specific nature of the clinical presentation of this condition typically lead to a delayed diagnosis. CASE PRESENTATION: A 53-year old male avid golfer presented to a chiropractor with a chief complaint of LBP. He was diagnosed with sacroiliac joint dysfunction. His pain was initially improving with chiropractic management. The character of his pain changed, and the chiropractor referred for further imaging. He was subsequently diagnosed with κ light chain multiple myeloma. SUMMARY: This case presentation highlights that spinal malignancy is a possible cause of LBP. It reminds the clinician to investigate signs and symptoms that could lead to a suspicion of malignancy, to monitor patient progression, and consider further evaluations if the expected response to treatment is not achieved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".