ReviewMedicine2025
Progress on aspiration assessment methods for patients after esophageal cancer surgery in early: A review.
Review in Medicine, 2025. 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
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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.
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
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Authors and funding
9 authors.
Funding
Abstract
Esophageal cancer is a relatively common malignant tumor of the digestive tract. Patients with esophageal cancer show a high incidence of aspiration after surgery, which has a serious impact on their prognosis and rehabilitation. Nevertheless, while existing and past endeavors have concentrated on enhancing the diagnostic and therapeutic strategies for esophageal cancer, the necessity of preventing pneumonia caused by postoperative aspiration remains to be adequately addressed. We compiled the presently published literature and offer the latest developments on the causes of postoperative aspiration in patients with esophageal cancer, screening methods, and swallowing assessment tools. Relevant published papers were collected through a search of the China national knowledge infrastructure, Ovid EMBASE, Web of Science, Cochrane, and PubMed databases. There are various methods for assessing swallowing function after surgery for esophageal cancer. Clinically, it is necessary to select appropriate assessment tools for the swallowing function. Research indicates that the application of risk prediction models can better assess aspiration in patients after esophageal cancer surgery, bridge gaps in qualitative analysis, and alter the clinical outcomes of patients. Predictive models for dysphagia screening in patients after esophagectomy have significant clinical advantages and exhibit good clinical applicability.
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