Chronic thromboembolic pulmonary hypertension: do we need a new definition?
Bibliographic record
Abstract
Chronic thromboembolic pulmonary hypertension (CTEPH) is the end result of persistent obstruction of the pulmonary arteries following episodes of acute and/or recurrent pulmonary emboli [1]. Pulmonary hypertension probably stems from a smaller pulmonary arterial cross sectional area due to thrombus organisation and a redistribution of blood flow through the patent pulmonary arterial bed producing an additional microvasculopathy [2]. Consequently many patients develop pulmonary hypertension despite adequate anticoagulation [3]. Once pulmonary hypertension occurs, the prognosis is poor due to right heart failure with a survival similar to other forms of pre-capillary pulmonary hypertension [4]. Patients suffering from CTEPH typically present with progressive dyspnoea that worsens over a period of months to years [5]. Dyspnoea is related to hypoxaemia, dead space ventilation and right heart dysfunction, severely affecting the quality of life [6, 7]. Pulmonary endarterectomy is the treatment of choice for CTEPH. The surgery leads to major clinical improvement due to improved haemodynamic parameters and oxygenation, and a reduction in dead space ventilation [7, 8]. The surgery is curative in a large proportion of patients with resolution of the pulmonary hypertension. Over the past 20 years, the technique of pulmonary endarterectomy under deep hypothermic circulatory arrest has been refined and can currently be performed …
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.019 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.018 | 0.036 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".