Long-term follow-up
Research gap analysis derived from 2 medicine papers in our local library.
The gap
The studies lack long-term follow-up data to comprehensively evaluate treatment efficacy and patient outcomes in various clinical and educational contexts.
Consensus across the literature
The papers collectively establish the need for extended follow-up but leave open how such data can be collected and analyzed across different populations and interventions.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- ANALYSIS OF NEOADJUVANT TREATMENT OF HORMONE-DEPENDENT FORMS OF BREAST CANCER (STAGE I-III): RETROSPECTIVE ANALYSIS (2026) · doi
The paper does not discuss long-term follow-up data or survival outcomes, focusing instead on pathomorphosis grades without addressing recurrence rates, disease-free survival, or overall survival metrics.
Keywords: survival discuss long term follow outcomes focusing instead pathomorphosis grades without addressing recurrence rates disease - RESULTS OF THE STUDY OF THERAPEUTIC PATHOMORPHOSIS OF MALIGNANT EPITHELIAL TUMORS IN PATIENTS WITH LOCALLY ADVANCED RESECTABLE COLON TUMORS UNDER PREOPERATIVE CHEMORADIATION INDUCTION (2026) · doi
Long-term follow-up data on local recurrence rates and overall survival outcomes comparing the neoadjuvant chemoradiotherapy group with the surgery-only group were not presented.
Keywords: group long term follow local recurrence rates overall survival outcomes comparing neoadjuvant chemoradiotherapy surgery presented
Explore this gap further
Search “Long-term follow-up” across open scholarly engines for the latest related literature.
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Free tools for your next paper
Related gaps in Medicine
- Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.
- Recent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC. By implementing VFMs to mitigate imaging domain shifts andRecent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC.…
- PURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ultimate goal of supporting evidence-based clinical recommendatiPURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ulti…
- External validation is required before the model can be applied in clinical settings.External validation is required before the model can be applied in clinical settings.