ReviewWorld journal of gastrointestinal surgery2025
Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives.
Review in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Applications of artificial intelligence in postoperative surveillance and management of esophageal squamous cell carcinoma.Frontiers in artificial intelligence · 2026Review
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Authors and funding
2 authors.
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Abstract
Perioperative morbidity of esophagectomy significantly affects the surgical outcome, like any major gastrointestinal procedure. Despite introduction of minimally invasive esophagectomy, the morbidity is still close to 30%-40%. The common complications following esophagectomy are pulmonary infections, cardiac events, anastomotic leakage, bleeding, chylous leak, and recurrent laryngeal nerve palsy which in turn lead to longer hospital stay, increased treatment cost and poor quality of life. A nomographic model comprising preoperative (patient, disease and treatment related) and intraoperative factors in combination with Artificial Intelligence may accurately identify the patients at higher risk of morbidity. This will aid in optimizing the modifiable risk factors preoperatively, and closely monitor these patients post operatively for early identification of complications and to initiate early corrective measures to improve the surgical outcome.
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