Point of Care Ultrasound for the General Internist: Pleural Effusions
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
Pleural effusions are a common finding in many clinical settings and have important diagnostic and therapeutic implications. They may be identified by physical exam, chest radiography, chest computerized tomography (CT) scans or point of care ultrasonography (POCUS). The use of POCUS for the diagnosis and management of pleural effusions offers several advantages relevant to the practice of the general internist. POCUS in-fact has superior sensitivity and specificity for locating pleural effusions, when compared to chest radiography and physical exam. Abnormal sonographic features of the pleural fluid and the adjacent pleura may also suggest the presence of an exudative or malignant effusion. POCUS additionally can be used to quickly estimate the size of a pleural effusion. Lastly, the use of ultrasound guidance when performing a thoracentesis reduces the risk of a pneumothorax and/or hemorrhage.
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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