Diagnostic value of soluble urokinase‐type plasminogen activator receptor in patients with acute coronary syndrome: A systematic review and meta-analysis
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
BACKGROUND: In contemporary clinical practice, there is an increasing need for new clinically relevant biomarkers potentially optimizing management strategies in patients with suspected acute coronary syndrome (ACS). This study aimed to determine the diagnostic utility of soluble urokinase-type plasminogen activator receptor (suPAR) levels in individuals with suspected ACS. METHODS: A literature search was performed in Web of Science, PubMed, Scopus, and the Cochrane Central Register of Controlled Trials databases, for studies comparing suPAR levels among patients with and without ACS groups. The methodological quality of the included papers was assessed using the Newcastle-Ottawa Scale (NOS). A fixed-effects model was used if I² < 50%; otherwise, the random-effects model was performed. RESULTS: Five studies with 3417 participants were included in the meta-analysis. Pooled analysis showed that mean suPAR levels in the ACS group were statistically significantly higher than in the control group (3.56 ± 1.38 vs. 2.78 ± 0.54 ng/mL, respectively; mean difference: 1.04; 95% confidence interval: 0.64-1.44; I² = 99%; p < 0.001). CONCLUSIONS: In the context of acute coronary syndrome, suPAR is a potential biomarker for the early identification of medical conditions in individuals who are being treated in emergency rooms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it