Pulmonary hypertension: the importance of correctly diagnosing the cause
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
Pulmonary hypertension (PH) is a complex condition that can occur as a result of a wide range of disorders, including left heart disease, lung disease and chronic pulmonary thromboembolism. Contemporary PH patients are older and frequently have a multitude of comorbidities that may contribute to or simply coincide with their PH. Identifying the cause of PH in these complicated patients can be challenging but is essential, given that the aetiology of the disease has a significant impact on the management options available. In this article, we present two cases that highlight the difficulties involved in obtaining a precise diagnosis of the cause of PH within the setting of multiple comorbidities. The importance of performing a comprehensive, multidimensional diagnostic work-up is demonstrated, in addition to the need to specifically consider cardiopulmonary haemodynamic data in the context of the wider clinical picture. The article also illustrates why achieving an accurate diagnosis is necessary for optimal patient management. This may involve treatment of comorbidities as a priority, which can ameliorate the severity of PH, obviating the need to consider PH-targeted medical treatment.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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