GERD and Cancer Risk Meta-Analysis Results from 17 Studies
by XianHong Jiang·Updated 3mo ago
1.0 MB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A systematic review and meta-analysis by XianHong Jiang, published on figshare in March 2026, investigates the association between gastroesophageal reflux disease (GERD) and multiple cancers. The analysis includes 17 observational studies sourced from PubMed, Embase, the Cochrane Library, and Web of Science up to July 2025. It reports pooled odds ratios for lung, laryngeal, pancreatic, and esophageal cancers.
Use Cases
Assessing the association between GERD and lung cancer risk based on the reported odds ratio (OR=1.33).
Evaluating the link between GERD and laryngeal cancer based on the reported odds ratio (OR=1.75).
Investigating the relationship between GERD and pancreatic cancer based on the reported odds ratio (OR=1.30).
Examining the connection between GERD and esophageal cancer based on the reported odds ratio (OR=1.70).
Reviewing the meta-analytic methodology and statistical results for clinical guideline development.
Strengths
Results are derived from a systematic review of 17 observational studies.
Specific pooled odds ratios with 95% confidence intervals are reported for four cancer types.
The analysis was performed using R version 4.5.0, suggesting a reproducible statistical workflow.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The underlying observational studies may reflect inherent geographic, temporal, or source biases.
Provenance
Source
XianHong Jiang via figshare.
Collection Method
Systematic review and meta-analysis of observational studies from PubMed, Embase, Cochrane Library, and Web of Science.
Time Range
Studies published up to July 11, 2025.
Freshness
Last updated 2026-03-18 07:46:24; freshness should be verified.
Geography
null
File is in DOCX format (1.0 MB), requiring appropriate software to open and view the full document.