Survival and prognosis analysis of systemic lupus erythematosus patients with pulmonary hypertension: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: The study aimed to evaluate survival rates and prognosis in systemic lupus erythematosus (SLE) patients with pulmonary hypertension (PH) using meta-analysis. METHODS: PubMed, EMBASE, Cochrane central register of controlled trials, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wan-Fang Database, and Chinese biomedical database were searched. Information and data were screened and extracted by 2 researchers. The obtained data were analyzed using the R software meta package. Quality assessment was conducted using Newcastle-Ottawa Scale. The causes of heterogeneity were analyzed using subgroup analysis and sensitivity analysis. Publication bias was evaluated using Begger funnel plots and Egger test. RESULTS: The search strategy yielded a total of 21 studies involving 875 patients included in the final analysis. The pooled 1-, 3- and 5-year survival rates of patients with SLE-PH were 0.9020 (95%CI: 0.8576; 0.9397), 0.8363 (96%CI: 0.7813; 0.8852), 0.7301 (95%CI: 0.6327; 0.8181). The 1-, 3- and 5-year survival rates of echocardiography subgroup were 0.9000 (95%CI: 0.8480; 0.9551), 0.8435 (95%CI: 0.7744; 0.9187), 0.6795 (95%CI: 0.5746; 0.8035), respectively; and there were 0.9174 (95%CI: 0.8951; 0.9402), 0.8529 (95%CI: 0.8255; 0.8812), 0.7757 (95%CI: 0.7409; 0.8121) at right heart catheterization subgroup in the meantime. Multivariate analysis for predicting mortality in SLE-PH patients revealed that diminishing left ventricular ejection fraction, New York Heart Association classification, lupus nephritis, lower cardiac index, and higher red blood cell distribution width level were significantly associated with a higher mortality rate. Treatment with huge doses of cyclophosphamide, tricuspid annular plane systolic excursion/pulmonary artery systolic pressure, and Raynaud phenomenon signaled favorable outcomes. CONCLUSION: The 1-, 3-, and 5-year survival rates of SLE-PH patients in recent years (0.9020, 0.8363, 0.7301) were estimated in this study. SLE-PH patients diagnosed by echocardiography have a worse long-term prognosis than those diagnosed by right heart catheterization. Studies after 2015 have shown significantly better survival than earlier studies.
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.042 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".