Systemic sarcoidosis mimicking metastatic renal cell carcinoma with subsequent cardiac involvement
Bibliographic record
Abstract
There exists a well-established association between sarcoidosis and many solid and hematologic malignancies however it is a less frequently described phenomenon in patients with renal cell carcinoma. Moreover the majority of described cases presented with local sarcoid-like reactions in close proximity to the tumor with comparatively few reports of more distant disease. Given the relatively low number of cases there remains a great deal of uncertainty surrounding the clinical behaviour of sarcoidosis in the setting of renal cell carcinoma. We report the case of a patient with surgically resected renal cell carcinoma who, several years later, developed bilateral pulmonary nodules, intra-thoracic lymphadenopathy as well as splenic, hepatic and osseous lesions. After extensive investigation, culminating in video-assisted thoracoscopic surgical resection, he was found to have sarcoidosis. He remained asymptomatic for many years before being diagnosed with cardiac sarcoidosis, which was found to be inactive and did not require any treatment. Both his sarcoidosis and underlying renal cell carcinoma have remained in remission to date. This case highlights the variable behaviour of sarcoidosis in these patients and underscores the importance of obtaining an accurate tissue diagnosis in the setting of suspected metastatic disease. Additionally, it underscores the importance of close monitoring and long-term follow up as these patients may develop significant organ involvement, even many years after diagnosis. Interestingly the patient's renal cell carcinoma remained in remission, raising questions about whether the development of sarcoidosis portends a better prognosis in patients with an underlying solid malignancy.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".