Technical Validation of SREMAN: A Browser-Based Systematic Review and Evidence Management Tool for Cross-Database Interoperability, Screening-Data Preservation, and Project-State Restoration
Author: Vishnu Shivam, MBBS
Affiliation: Research and Development, Vedanadhi, Tamil Nadu, India-636115
Publication type: Technical report
First submitted: 19 October 2026
First published online: 20 October 2026
Peer-review status: Not yet externally peer-reviewed. Independent reviewers will be invited following initial online publication.
Abstract
Objective: To technically validate SREMAN (Systematic Reviews, Evidence Synthesis & Meta-Analysis Manager), a browser-based literature screening and evidence-management application, with respect to bibliographic import, integrated PubMed retrieval, cross-database interoperability, screening-data transfer, project-state preservation, and operational performance.
Methods: SREMAN was evaluated on October 7, 2026. Testing included a PubMed CSV file containing 6,645 records retrieved using “Leptin gene AND obesity” and a separate integrated PubMed retrieval workflow using “5-HTTLPR AND suicide,” which returned 134 records. Cross-database interoperability was assessed using CSV and RIS files from PubMed, Cochrane, ClinicalTrials.gov, and ScienceDirect. A project containing 30,963 records was used to evaluate CSV export, JSON backup and restoration, project clearing, and fresh-project import. An 18-record modified or incomplete CSV file was also tested. Functional outcomes were assessed against predefined acceptance criteria. Performance measurements were obtained using browser developer performance recordings, with three runs per operation; arithmetic means were calculated.
Results: All tested source files were successfully imported under the validation conditions. The modified CSV was processed with unavailable information remaining blank or unavailable rather than being intentionally reconstructed. Mean execution times were 24.7 milliseconds for initial application loading, 6.57 seconds for integrated PubMed retrieval, 2.70 seconds for importing 6,645 records, 2.98 seconds for exporting 30,963 records to CSV, and 3.09 seconds for JSON backup. Project clearing required 2.39 seconds, JSON restoration required 9.81 seconds, and fresh-project import of 30,963 screening records required 21.36 seconds. The large project was successfully exported, cleared, restored from JSON, and re-imported. CSV re-import recovered information represented in the exported fields, whereas JSON restoration recovered the broader project state represented in the backup.
Conclusion: SREMAN demonstrated functional support for large-scale bibliographic import, integrated PubMed retrieval, practical CSV/RIS interoperability with the tested sources, screening-data transfer, and project-state recovery. The performance measurements provide environment-specific evidence of operational feasibility for projects containing tens of thousands of records. However, the validation does not establish universal format compatibility, automatic duplicate detection, formal inter-reviewer reliability, or equivalence to established systematic-review methodologies. SREMAN may serve as a lightweight tool for browser-based literature screening and evidence management, with further validation warranted across additional environments and workflows.
Keywords: literature screening; systematic review; evidence synthesis; bibliographic database; software validation.