The Effect of Adrenalectomy on Overall Survival in Metastatic Adrenocortical Carcinoma
Bibliographic record
Abstract
CONTEXT: Although complete surgical resection provides the only means of cure in adrenocortical carcinoma (ACC), the magnitude of the survival benefit of adrenalectomy in metastatic ACC (mACC) is unknown. OBJECTIVE: This work aimed to assess the effect of adrenalectomy on survival outcomes in patients with mACC in a real-world setting. METHODS: Patients with mACC aged 18 years or older with metastatic ACC at initial presentation who were treated between 2004 and 2020 were identified within the Surveillance, Epidemiology, and End Results database (SEER 2004-2020), and we tested for differences according to adrenalectomy status. Intervention included primary tumor resection status (adrenalectomy vs no adrenalectomy). Kaplan-Meier plots, multivariable Cox regression models, and landmark analyses were used. Sensitivity analyses focused on use of systemic therapy, contemporary (2012-2020) vs historical (2004-2011), single vs multiple metastatic sites, and assessable specific solitary metastatic sites (lung only and liver only). RESULTS: Of 543 patients with mACC, 194 (36%) underwent adrenalectomy. In multivariable analyses, adrenalectomy was associated with lower overall mortality without (hazard ratio [HR]: 0.39; P < .001), as well as with 3 months' landmark analyses (HR: 0.57; P = .002). The same association effect with 3 months' landmark analyses was recorded in patients exposed to systemic therapy (HR: 0.49; P < .001), contemporary patients (HR: 0.57; P = .004), historical patients (HR: 0.42; P < .001), and in those with lung-only solitary metastasis (HR: 0.50; P = .02). In contrast, no statistically significant association was recorded in patients naive to systemic therapy (HR: 0.68; P = .3), those with multiple metastatic sites (HR: 0.55; P = .07), and those with liver-only solitary metastasis (HR: 0.98; P = .9). CONCLUSION: The present results indicate a potential protective effect of adrenalectomy in mACC, particularly in patients exposed to systemic therapy and those with lung-only metastases.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".