Evidence map›Paper›PMID 40342435›Full record

ArticleCureus2025

Improving Outcomes Through Radiologic Verification: A Quality Improvement Approach to Nasogastric Tube Placement.

Sonal Kumar, Yasmine White, Taylor Collignon, Edward Noguera

Abstract readCase Reports
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sonal KumarSurgery, Ross University School of Medicine, Miramar, USA.
Yasmine WhiteAnesthesiology, Cleveland Clinic Florida, Weston, USA.
Taylor CollignonInternal Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, USA.
Edward NogueraAnesthesiology, Cleveland Clinic Florida, Weston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

artificial intelligencechest radiographcritical caredeep learningelectromagnetic guidancenasogastric tube

Identifiers

PMID40342435
PMCPMC12060835

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.