Evidence map›Paper›PMID 38536581›Full record

ReviewInsights into imaging2024

Diagnostic performance of ultrasound in the assessment of gastric contents: a meta-analysis and systematic review.

Xuanyuan Pan, Jun Chai, Xin Gao, Si Li, Jie Liu, Linxing Li, Yanjing Li, Zhichao Li

Registry-linked trialAbstract readReview
In one paragraph

Review in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07537582 (Does Pre-operative Gastric Ultrasound Influence Anaesthetic Decision-Making in Chronic Pain Patients? A Prospective Observational Cohort Study), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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.

NCT07537582 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Does Pre-operative Gastric Ultrasound Influence Anaesthetic Decision-Making in Chronic Pain Patients? A Prospective Observational Cohort Study

TypeobservationalSponsorDanat Al Emarat HospitalRan2026 to 2027Enrolled140ConditionsGastric Ultrasound, Gastric Ultrasound in Chronic Opioid Use (≥2 Weeks), Gastric Ultrasound in Poorly Controlled Acute-on-chronic Pain, Gastric Ultrasound in Acute Opioid Administration Within 24 Hours Prior to the Procedure
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Xuanyuan PanDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Jun ChaiDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China. chaijun_cmu@163.com.ORCID http://orcid.org/0009-0005-0563-3370
Xin GaoDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Si LiDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Jie LiuDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Linxing LiDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Yanjing LiDepartment of Anesthesiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Shenyang, Liaoning Province, China.
Zhichao LiDepartment of Anesthesiology, Cancer Hospital Chinese Academy of Medical Sciences, No.17 Panjiayuan Nanli, Beijing, Chaoyang District, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically analyze the accuracy of ultrasonic techniques in assessing the nature of gastric contents and their volume.

methodsEnglish-language articles that used ultrasonic techniques to assess the nature of gastric contents and their volume in patients were selected. In eligible studies, data were recalculated and analyzed for forest plots and subject summary curves of operating characteristics (SROC). Study quality was assessed using the diagnostic accuracy study quality assessment tool QUADAS-2. Publication bias was tested using funnel plots.

resultsNine articles with a total of 523 study subjects were identified for this review. All studies were feasibility studies. The sensitivity of ultrasound assessment of gastric contents ranged from 53 to 100% and the specificity from 48 to 99%. The combined analysis yielded an area under the working characteristic curve for subjects of 97% (95% confidence interval (CI), 95-98%), a sensitivity of 95% (95% CI, 84-99%), and a specificity of 88% (95% CI, 72-95%). There was a high degree of heterogeneity among the studies due to inter-operator differences and small sample sizes.

conclusionUltrasound techniques have high diagnostic accuracy in assessing the nature of gastric contents and their volume in patients. However, most of the studies were feasibility studies with small sample sizes, lacked standardization, and had high risk of bias. More studies are needed in the future to investigate the diagnostic performance of gastric ultrasound assessment techniques. CRITICAL RELEVANCE STATEMENT: Ultrasonography can be used to assess gastric contents, but standardized data integration and reporting are needed to account for the diagnostic capabilities of this technology. KEY POINTS: • Ultrasound is a safe and feasible tool for assessing gastric contents. • Ultrasound has good diagnostic performance for gastric contents. • There is still a certain heterogeneity within our analysis process; more research is needed in the future to improve our results.

Indexed as

Gastric contentsMeta-analysisReflux aspirationUltrasound

Identifiers

PMID38536581
PMCPMC10973285

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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.