Right ventricular (RV) echocardiographic parameters in patients with pulmonary thromboembolism (PTE).
Bibliographic record
Abstract
BACKGROUND: Acute pulmonary thromboembolism (PTE) is a common disease with a high mortality rate, and a variable and nonspecific clinical presentation. To detect the nonspecific signs and symptoms associated with this condition, several right ventricular (RV) echocardiographic parameters have been proposed as practical marker. METHODS: This cross-sectional study was performed on 93 patients with PTE diagnosed by computed tomography (CT) angiography, and 57 patients with negative PTE based on CT angiography. During the experiment, all patients underwent both transthoracic echocardiography (TTE) and multi-slice CT pulmonary angiography. Transthoracic echocardiography measurements were obtained as patients went through both experimental procedures. These measurements were later compared between the patients with and without PTE. RESULTS: Tricuspid annulus plain systolic excursion (TAPSE) (1.65 ± 0.09 vs. 2.00 ± 0.08 cm, P < 0.001) and left ventricular (LV) end-diastolic diameter (4.54 ± 0.26 vs. 5.40 ± 0.24 cm, P < 0.001) were significantly lower in patients with PTE as compared to patients without it. Whereas, RV end-diastolic and end-systolic diameters at the papillary muscle levels (3.41 ± 0.09 vs. 3.02 ± 0.12 cm, and 2.48 ± 0.08 vs. 2.16 ± 0.06 cm, respectively, P < 0.001 for both), and tricuspid valve (TV) annulus tissue Doppler imaging (TDI) measurements (6.02 ± 0.10 vs. 5.78 ± 0.14, P < 0.001) were significantly greater in patients with PTE. On the other hand, no significant difference was found between the two groups of patients regarding pulmonary artery pressure (PAP) (P = 0.416), and RV fractional shortening (P = 0.157). Moreover, our results indicated that RV/LV (cut-off point: 0.6898) had high sensitivity (93.5%), specificity (100%), positive predicting value (PPV) (100%), and negative predicting value (NPV) (90.4%) in diagnosing PTE. CONCLUSION: TTE may be valuable as a substitute diagnostic method for patients with PTE. This technique may also assist in detecting the severity of the illness, by evaluating RV/LV in cut-off point of 0.6898.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".