ArticleCureus2025
Improving Outcomes Through Radiologic Verification: A Quality Improvement Approach to Nasogastric Tube Placement.
Article in Cureus, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In critical care, nasogastric (NG) tube placement is a routine procedure and is necessary for enteral feeding, medication administration, and gastric decompression. Regardless, misplacing NG tubes continues to be a common issue and can result in severe complications, such as aspiration, pneumothorax, and gastrointestinal perforation. Although chest radiographs are the gold standard imaging test to verify the placement of an NG tube, misinterpretation is still a problem, particularly for non-radiologists. Our case report is a quality improvement initiative that explores the role of radiologic verification in improving outcomes and preventing complications associated with misplaced NG tubes. We present the case of a patient whose NG tube was misplaced in his lung. We also examine the limitations of radiographic imaging as the standard method for confirming NG tube placement. We examine the potential for improving patient safety by providing radiographic training, standardizing interpretation protocols, and integrating advanced technologies such as artificial intelligence (AI)-assisted detection. Our case report explores the importance of continuous quality improvement efforts in optimizing NG tube placement accuracy and reducing associated risks, ultimately enhancing patient care and safety.
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Registered trials
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