Association of Polycythemia with Outcomes of Acute Coronary Syndrome
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: Polycythemia has not been extensively studied for its impact on acute coronary syndrome (ACS) outcomes. A previous study reported only 30-day outcomes to be worse in these patients. METHODS: Data from the ACS Israeli survey between 2000 and 2018 were utilized to compare between 3 groups of patients with ACS: anemic group (hemoglobin <12 g/dL for women and <12.5 g/dL for men), normal hemoglobin group, and polycythemic group (>16 g/dL and >16.5 g/dL, respectively). Measured outcomes included 30-day major adverse cardiac events (MACE comprising all-cause mortality, recurrent ACS, need for urgent revascularization, and stroke) and 1- and 5-year all-cause mortality. RESULTS: Of 14,746 ACS patients, 10,752 (72.9%) had normal hemoglobin levels, 3,492 (23.7%) were anemic, and 502 (3.4%) were polycythemic. In comparison with normal and anemic patients, polycythemic patients were younger (55.9 ± 10.5 vs. 61.9 ± 12.4 and 71.1 ± 12.2 for anemic, respectively, p < 0.001 for both), more frequently men (93.8% vs. 81.3% and 63.1%, respectively, p < 0.001), and less likely diabetic or hypertensive. Upon adjustment to baseline characteristics, compared with normal hemoglobin, polycythemia was not independently associated with 30-day MACE or 1-year mortality, but it was independently associated with higher risk for 5-year mortality (HR 1.76, 95% CI: 1.19-2.59, p = 0.005). Similar results were observed after propensity score matching. CONCLUSIONS: Although younger and with fewer comorbidities, polycythemic ACS patients are at increased risk for long-term all-cause mortality. Further study of this association is warranted to understand the causes and possibly to improve the outcomes of these patients.
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) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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