Is Low Body Weight a Novel Risk Factor for Thromboembolic Events in Patients With Non-Valvular Atrial Fibrillation?
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Bibliographic record
Abstract
In this issue of the Hamatani et al 5 address important issue by analyzing data from the AF Registry, a community-based Japanese prospective cohort. Patients low body weight (LBW: 50 kg) showed a risk profile and a higher incidence of stroke/SE, but no difference in the incidence of major compared with those over 50 kg using multivariate and propensity score matching analyses. Although there have been studies investigating the effect of obesity or overweight on the outcome for AF patients in Caucasian populations, the influence of LBW or low body mass index (BMI) has not been evaluated, because patients with low BMI (<18.5 kg/m 2 ) have been excluded from such studies. 6-8 Furthermore, their conflicting results suggest that it is still uncertain whether obesity or overweight is a risk factor for thromboembolic events in AF patients. In an Asian population, Wang et al showed that underweight AF patients (BMI <18.5 kg/m 2 ) had a higher rate of cardiovascular mortality than either overweight or obese AF patients (BMI 24 kg/m 2 ), revention of cardioembolic stroke and systemic embolism (SE) in patients with atrial fibrillation (AF) is of significance importance in the super-aging Japanese society, and therefore appropriate risk assessment and the following sufficient anticoagulation treatment are encouraged. The CHADS2 or CHA2DS2-VASc score has been used as a risk stratification scheme for non-valvular AF (NVAF) patients worldwide. 1-4 In Europe and the United States, the CHA2DS2-VASc score is recommended (Figure Female sex is not included as a risk in the Japanese or Canadian guidelines. Importantly, neither CHADS2 nor CHA2DS2-VASc includes body weight or related factors, because it is uncertain whether body weight itself is a risk factor for thromboembolic events in NVAF patients.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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