The Challenges of Renal Cell Carcinoma Metastatic to the Spine: A Systematic Review of Survival and Treatment
Bibliographic record
Abstract
STUDY DESIGN: Systematic review. OBJECTIVES: The objective of this systematic review was to answer 2 key questions: (1) What is the clinical presentation and probability of symptomatic improvement following treatment for patients with renal cell carcinoma (RCC) of the spine? (2) What is the overall survival of patients diagnosed with spinal metastases from RCC? METHODS: A literature review was performed to identify articles that reported on survival, clinical outcomes, and/or prognostic factors in the RCC population with spinal metastases from 1986 to 2016. RESULTS: Forty-eight articles (807 patients) were included. The Fuhrman Nuclear Grade has been significantly associated with survival in previous studies but was underpowered in the current study. The Memorial Sloan-Kettering Cancer Center Score (MSKCC/Motzer) was also underpowered in the current study. From the time of spinal metastasis, the mean and median survival for patients with previously diagnosed primary RCC was 8.75 and 11.7 months, respectively, whereas synchronously diagnosed patients (primary RCC and spinal metastasis) had a mean and median survival of 6.75 and 11 months, respectively. Patients with a "low" (0-8), "intermediate" (9-11), or "high" (12-15) revised Tokuhashi score at initial presentation had a median survival of 5.4, 11.7, and 32.9 months, respectively. CONCLUSION: Patients with either a synchronous or latent diagnosis of RCC survived greater than 6 months from the time of presentation. Initial Furhman grade, Tokuhashi score, and MSKCC/Motzer can be useful tools in informing patient-specific prognosis for those with metastatic RCC of the spine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".