Inflammatory bowel disease and risk of idiopathic pulmonary fibrosis: A protocol for systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Inflammatory bowel disease is a relapsing chronic gastrointestinal inflammatory disease. Idiopathic pulmonary fibrosis is a rare but serious extraintestinal pulmonary manifestation of inflammatory bowel disease. However, the relationship between these two conditions is unclear. Therefore, this study aims to elucidate this relationship through a systematic review and meta-analysis, focusing on the risk of idiopathic pulmonary fibrosis in patients with inflammatory bowel disease. METHODS: The systematic review will be outlined according to the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols and its extension statement for reporting systematic reviews incorporating network meta-analyses of healthcare interventions: checklist and explanations. Original articles published in any language will be searched in the following databases: PubMed, Web of Science, EMBASE, Google Scholar, and Ovid. Observational studies that reveal an association measure between idiopathic pulmonary fibrosis and inflammatory bowel disease will be included (cross sectional, cohort, and case-control trials). Two independent reviewers will be assigned to evaluate study quality using the Newcastle-Ottawa scale for assessing the quality of non-randomized studies in meta-analyses. Sensitivity analyses will be conducted based on the quality of included studies. All relevant studies will be assessed based on the study type, sample size, inflammatory bowel disease subtype, odds ratio, confidence interval, treatment strategy, and follow-up. The Grading of Recommendations Assessment, Development, and Evaluation approach will be used to rate the quality of the evidence. DISCUSSION: The results of this meta-analysis may show that patients with inflammatory bowel disease are at higher risk of developing idiopathic pulmonary fibrosis. This study will be the first meta-analysis to focus on the association between inflammatory bowel disease and idiopathic pulmonary fibrosis. Exploring the relationship between the two conditions may further enhance our understanding of the pathogenesis of inflammatory bowel disease and idiopathic pulmonary fibrosis and promote the development of related research fields.
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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 | 0.103 | 0.161 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.016 | 0.030 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.063 | 0.006 |
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".