Pulmonary Vein Stenosis: Case Report and Literature Review
Bibliographic record
Abstract
BACKGROUND: Pulmonary vein stenosis is a rare cause of pulmonary hypertension, with variable onset and presentation. One or more of the four pulmonary veins can be primarily or secondarily affected. A five-month-old girl presented with respiratory distress, lethargy and cyanosis requiring intubation. METHODS: Echocardiography showed right ventricular dilation, a right ventricular systolic pressure of 97 mmHg, decreased ejection fraction and turbulent flow at the left atrium. Cardiac catheterization revealed stenosis of the left-sided pulmonary veins, for which she underwent a Coles procedure. RESULTS: Postoperatively, there was a transient improvement in the patient's pulmonary hypertension but she subsequently deteriorated. Her prognosis was considered bleak, and a decision was made with the family to withdraw care. CONCLUSION: Pulmonary vein stenosis is a rare cause of pulmonary hypertension, and is associated with significant morbidity and mortality. Surgical intervention may be of benefit in selected cases. It stands to reason that any treatment will have the best chance of success if completed before the pulmonary hypertension becomes fixed. Early diagnosis depends on a high index of clinical suspicion.
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.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".