ReviewJournal of clinical medicine2026
Post-Treatment Surveillance to Detect Recurrent Disease in Esophagogastric Cancer: A Review of Current Practice and Future Perspectives.
Review in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective post-treatment surveillance in cancer is designed to drive early detection and treatment of recurrence; however, surveillance protocols following curative-intent treatment for esophagogastric adenocarcinoma (EGA) remain poorly defined, with no consensus across existing guidelines. Historically, a lack of evidence regarding optimal surveillance approaches has been underpinned by limited treatment efficacy in recurrent or metastatic disease. However, recent advances in chemotherapy, immunotherapy, and targeted approaches, as well as the management of oligometastatic disease, have transformed the therapeutic landscape, making early detection of recurrence increasingly actionable. The rising incidence of EGA in younger patients adds further urgency to understanding long-term surveillance and survivorship needs. While ongoing clinical trials seek to address this question, emerging technologies, including liquid biopsy, next-generation sequencing (NGS), and artificial intelligence (AI), promise to further advance surveillance strategies. This review explores the rationale for post-treatment surveillance in EGA and examines future technologies that will shape surveillance strategies into the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.