Prognostic factors for survival in systemic lupus erythematosus associated pulmonary hypertension
Bibliographic record
Abstract
OBJECTIVE: Pulmonary hypertension (PH) is a rare but severe manifestation of systemic lupus erythematosus (SLE) that can ultimately result in death. The identification of factors that prognosticate survival in SLE-PH is necessary for appropriate monitoring, timing of therapeutics and lung transplantation. The primary objective of this study was to identify prognostic factors for survival in SLE-PH through review of the literature. The methodological quality of the prognostic studies was also evaluated. METHODS: A systematic review of the literature was performed to identify studies evaluating prognostic factors for survival in SLE-PH. Medline, EMBASE, CINAHL, and Cochrane Central Registry of Controlled Trials (inception - week 2 2010) were searched. A standardized abstraction form was used by two independent reviewers to extract prognostic factors. Methodological quality was evaluated using a validated quality index. RESULTS: Twenty-three observational studies from 375 citations were evaluated. Elevated mean pulmonary artery pressure, Raynaud's phenomenon, thrombocytopenia, plexiform lesion, infection, thrombosis, pregnancy, pulmonary vasculitis and anticardiolipin antibodies were associated with decreased survival. Lupus disease activity, nephritis and central nervous system disease were not associated with survival. The sample sizes were small and methodological quality of the studies was variable. CONCLUSION: This study summarizes factors that may be associated with decreased survival in SLE-PH. The small sample sizes and variable methodological quality preclude definitive conclusions. This study provides the groundwork for further research using large cohorts.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".