Cardiovascular Outcomes in Autonomous Cortisol Secretion and Nonfunctioning Adrenal Adenoma: A Systematic Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is growing evidence that autonomous cortisol secretion (ACS), previously known as subclinical Cushing syndrome, is associated with greater prevalence of cardiovascular (CV) risk factors. However, it is unclear whether ACS is associated with greater prevalence of CV outcomes compared with nonfunctioning adrenal adenomas (NFAAs). The objective of this study is to evaluate CV outcomes and CV risk factors in patients with adrenal adenoma with ACS compared with NFAA. A literature review was performed in Embase, Medline, Cochrane Library, and reference lists within selected articles. The study protocol was registered with PROSPERO. A literature search yielded six studies that met the inclusion criteria. Studies varied in their definitions of ACS and CV outcomes. Two retrospective longitudinal studies further demonstrated higher incidence of new CV events (ACS 16.7% vs NFAA 6.7%, P = 0.04) and higher CV mortality in patients with ACS (ACS 22.6% vs 2.5%, P = 0.02). The prevalence of CV outcomes in ACS was more than three times greater than in patients with NFAA. Three of five studies found that ACS was associated with higher prevalence of diabetes and hypertension. There was no difference in dyslipidemia or body mass index demonstrated in any study. There is heterogeneity among the few studies evaluating the association between ACS and CV outcomes. Although these studies suggest a higher risk of CV outcomes in patients with ACS, many did not adjust for known confounders. Larger, high quality, prospective studies are needed to evaluate this association and to identify modifiable risk factors.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it