Immunotherapy for advanced renal cell cancer
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
BACKGROUND: The course of advanced renal cell carcinoma is extremely variable, ranging from spontaneous remission to disease progression refractory to chemotherapy. Immunotherapy has held promise of improved outcomes based on uncontrolled studies and randomized controlled trials generally limited by small size and low power. OBJECTIVES: To evaluate immunotherapy for advanced renal cell carcinoma by comparing: (1) high dose interleukin-2 to other options and (2) interferon-alpha to other options. SEARCH STRATEGY: A search of MEDLINE, Cancerlit, EMBASE and Cochrane Library databases from 1966 through the end of 1999. Handsearches were made of the proceedings of the annual meetings of the American Urologic Association, ASCO, and biennial European ECCO meetings, and the references of identified studies. SELECTION CRITERIA: Randomized controlled trials that selected (or stratified) patients with advanced renal cell carcinoma, utilized an immunotherapeutic agent in at least one study arm, and reported response or survival by allocation. Forty-two studies involving 4216 patients were eligible and reported response and 26 of these reported survival outcome (3089 patients). DATA COLLECTION AND ANALYSIS: Two independent reviewers abstracted each article by following a prospectively designed protocol. Dichotomous outcomes for treatment response (partial plus complete) and for deaths at one year were used for the main comparisons. Survival hazard ratios were also used for studies of interferon-alpha versus controls. MAIN RESULTS: The average response rate was 10.2 % (range by arm, 0 - 39%) and complete response rate was 3.2% (123/3852; n = 38 studies). Median survival averaged 11.6 months (range by arm, 6 - 28 months) and two-year survival averaged 22% (16 studies, range by arm 8 - 41%). There were no placebo-controlled studies and no randomized controlled studies examined survival for high dose interleukin-2 versus controls. Results from 6 studies (n = 963) indicate that interferon-alpha is superior to controls (OR for death at one year = 0.67, 95% CI 0.50 - 0.89. The pooled hazard ratio for survival of 0.78 (0.67 - 0.90) indicates that the treatment effect persisted until 24 months from randomization. The weighted average median improvement in survival was 2.6 months. Additional comparisons failed to prove a survival benefit from the addition of other agents to either modified schedules of interleukin-2 or to interferon-alpha. Dose-response studies examining survival for either agent could not be identified. The difference in response rate between arms was correlated with the difference in survival (P<0.001) suggesting that response rate difference may be a surrogate intermediate endpoint for survival. REVIEWER'S CONCLUSIONS: Interferon-alpha provides a modest survival benefit compared to other commonly used treatments and should be considered for the control arm of future studies of systemic agents. Interleukin-2 has not been validated in controlled randomized studies.
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 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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".