Clinician Underappreciation of Interatrial Block in a General Hospital Population
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
INTRODUCTION: Interatrial block (IAB; P wave > or =110 ms), a conduction delay between the right and left atria (LA), is highly prevalent and strongly associated with atrial tachyarrhythmias, LA electromechanical dysfunction as well as a risk of embolism. Nonetheless, clinicians' underappreciation of its existence and sequelae remains. We appraised this issue in a general hospital population. METHODS: From the database of 730 12-lead electrocardiograms (ECGs) of patients aged 17-98 years (mean age 67.80 years; female patients 53.56%) in a tertiary care teaching general hospital, we recorded the computer-generated diagnostic readings of the ECGs and also the official cardiologist and hospitalist ECG interpretations and documentations. For increased sensitivity and specificity, and because the mode P wave duration in IAB is 120 ms, P waves > or =120 ms in any lead were used to diagnose IAB. RESULTS: Six hundred and fifty-three ECGs (89.45%) showed sinus rhythm, and of those, IAB was documented on 309 ECGs (47.32%). LA enlargement was cited 29 times (3.97%), while possible LA enlargement and biatrial enlargement were cited 17 (2.32%) and 6 times (0.82%), respectively. One cardiologist's ECG interpretation documented IAB (0.32%), but none of the other medical staff diagnosed IAB or abnormal P wave duration. CONCLUSION: This study demonstrates to extremes how IAB went undiagnosed in a general hospital population. Until more awareness of IAB is cultivated, such ignorance of the existence and sequelae of IAB could continue. Configuring ECG software to include P wave durations in computer-generated ECG readings could be useful in aiding diagnosis.
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) | 0.000 | 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