SynthesisSystematic reviews2018
The potential of computerised analysis of bowel sounds for diagnosis of gastrointestinal conditions: a systematic review.
Synthesis in Systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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
22 citing papers in PubMed.
- Review
- Four-class classification of tumor-induced colorectal obstruction histopathology: A ResNet-mamba-mased study on cellular interaction pattern recognition.Scientific reports · 2025Article
- Prospects of AI-Powered Bowel Sound Analytics for Diagnosis, Characterization, and Treatment Management of Inflammatory Bowel Disease.Medical sciences (Basel, Switzerland) · 2025Review
- Explainable ResNet-long short-term memory model for the classification of bowel sounds frequency based on multifeature fusion.The Journal of international medical research · 2025Article
- A Novel You Only Listen Once (YOLO) Deep Learning Model for Automatic Prominent Bowel Sounds Detection: Feasibility Study in Healthy Subjects.Sensors (Basel, Switzerland) · 2025Article
- Smartphone for heart sound measurement in hospital: feasibility and influencing factors.European heart journal. Digital health · 2025Article
- The reliability and quality of short videos as health information of guidance for bowel sounds: a cross-sectional study.Frontiers in public health · 2025Article
- Knowledge, Attitudes, and Practices of Patients Undergoing Gastrointestinal Endoscopy Towards Painless Endoscopy: A Cross-Sectional Study.Patient preference and adherence · 2025Article
- Article
- Wireless wearable devices for continuous monitoring of body sounds and motions.Clinical and translational medicine · 2024Article
- Wireless broadband acousto-mechanical sensing system for continuous physiological monitoring.Nature medicine · 2023Article
- The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management.Diagnostics (Basel, Switzerland) · 2023Review
- A Nomogram for Predicting Surgical Timing in Neonates with Necrotizing Enterocolitis.Journal of clinical medicine · 2023Article
- Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.Sensors (Basel, Switzerland) · 2023Review
- Automated Bowel Sound and Motility Analysis with CNN Using a Smartphone.Sensors (Basel, Switzerland) · 2022Article
- Feeding intolerance.Early human development · 2022Article
- Development of a bowel sound detector adapted to demonstrate the effect of food intake.Biomedical engineering online · 2022Article
- iApp: An Autonomous Inspection, Auscultation, Percussion, and Palpation Platform.Frontiers in physiology · 2022Article
- Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks.Sensors (Basel, Switzerland) · 2021Article
- Automated Bowel Sound Analysis: An Overview.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastrointestinal (GI) conditions are highly prevalent, and their standard diagnostic tests are costly and carry risks. There is a need for new, cost-effective, non-invasive tests. Our main objective was to assess the potential for use of bowel sounds computerised analysis in the diagnosis of GI conditions.
methodsThe systematic review followed the PRISMA requirements. Searches were made of four databases (PubMed, MEDLINE, Embase, and IEEE Xplore) and the references of included papers. Studies of all types were included. The titles and abstracts were screened by one author. Full articles were reviewed and data collected by two authors independently. A third reviewer decided on inclusion in the event of disagreement. Bias and applicability were assessed via a QUADAS tool adapted to accommodate studies of multiple types.
resultsTwo thousand eight hundred eighty-four studies were retrieved; however, only 14 studies were included. Most of these simply assessed associations between a bowel sound feature and a condition. Four studies also included assessments of diagnostic accuracy. We found many significant associations between a bowel sound feature and a GI condition. Receiver operating characteristic curve analyses revealed high sensitivity and specificity for an irritable bowel syndrome test, and a high negative predictive value for a test for post-operative ileus. Assessment of methodological quality identified weaknesses in all studies. We particularly noted a high risk of bias in patient selection. Because of the limited number of trials included and the variety in conditions, technology, and statistics, we were unable to conduct pooled analyses.
conclusionsDue to concerns over quality and small sample sizes, we cannot yet recommend an existing BSCA diagnostic test without additional studies. However, the preliminary results found in the included studies and the technological advances described in excluded studies indicate excellent future potential. Research combining sophistical clinical and engineering skills is likely to be fruitful. SYSTEMATIC REVIEW REGISTRATION: The review protocol (review ID number 42016054028) was developed by three authors (AI, KMW, and JM) and was published in the PROSPERO International prospective register of systematic reviews. It can be accessed from https://www.crd.york.ac.uk/PROSPERO/ .
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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.