Meta-analysis of mortality-associated factors in primary Sjögren’s syndrome patients with interstitial lung disease
Bibliographic record
Abstract
Abstract The study aims to conduct a meta-analysis on 5-year survival rate and mortality-related factors in the patients with primary Sjögren’s syndrome concomitant with interstitial lung disease (pSS-ILD). Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched various platforms and databases until November 22, 2023. We used the Newcastle–Ottawa Scale (NOS) for quality assessment and extracted study characteristics and effect sizes. The pooled 5-year survival rate, hazard ratios (HRs), and the corresponding 95% confidence intervals (95% CIs) were then calculated. A p-value of less than 0.05 was considered statistically significant. Patients with pSS-ILD. Mortality in patients with pSS-ILD. Out of 188 articles, seven met the inclusion criteria. The meta-analysis estimated a 5-year survival rate of 82% (73%-91%). Mortality-related factors estimated by the meta-analysis included older age (HRs = 1.06, 95% CI 1.03–1.09, P < 0.0001), history of smoking (HRs = 3.44, 95% CI 2.14–5.53, P < 0.00001), anti-SSA antibody positivity (HRs = 0.41, 95% CI 0.20–0.85, P = 0.02), anti-SSB antibody positivity (HRs = 0.42, 95% CI 0.18–0.98, P = 0.04), reduced forced vital capacity (FVC; HRs = 0.96, 95% CI 0.95–0.98, P < 0.0001), reduced 6-min walk distance (6MWD; HRs = 0.99, 95% CI 0.99–1.00, P = 0.0008), presence of a reticular abnormality (HRs = 3.03, 95% CI 1.54–5.95, P = 0.001), and decreased arterial partial pressure of oxygen (PaO 2 ) levels (HRs = 0.99, 95% CI 0.97–1.00, P = 0.04). The 5-year survival rate for pSS-ILD is 82%. Older age, history of smoking, anti-SSA antibody negativity, anti-SSB antibody negativity, reduced FVC, reduced 6MWD, presence of a reticular abnormality, and decreased PaO 2 levels increase the mortality risk in pSS-ILD.
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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 | 0.019 | 0.032 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.068 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".