无创肠鸣音分析诊断肠易激综合征的准确性：系统综述和荟萃分析

闫夏晓; 张越伦; 张钰佩; 杨莹韵; 吴东

doi:10.24920/004307

Your Location：

Home >

Browse articles >

无创肠鸣音分析诊断肠易激综合征的准确性：系统综述和荟萃分析

中国医学科学杂志（英文） 2024年39卷第2期页码：122-130

论著 | Updated：2025-03-07

- 无创肠鸣音分析诊断肠易激综合征的准确性：系统综述和荟萃分析
- Affiliations：
  
  1.Department of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China
  3.Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
  2.Eight-Year Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Author bio：
  
  E-mail: wudong@pumch.cn
- Funds：
  
  the National Natural Science Foundation of China(32170788);National High Level Hospital Clinical Research Funding(2022-PUMCH-B-023);Beijing Natural Science Foundation(7232123);北京市自然科学基金(7232123)
- DOI：10.24920/004307
  中图分类号：
- 收稿日期：2023-10-16，
  
  录用日期：2024-02-07，
  
  网络出版日期：2024-04-10，
  
  纸质出版日期：2024-06-30
- Accepted：
Scan QR Code
闫夏晓,张越伦,张钰佩等.无创肠鸣音分析诊断肠易激综合征的准确性：系统综述和荟萃分析[J].中国医学科学杂志（英文）,2024,39(02):122-130.

Yan Xia-Xiao,Zhang Yue-Lun,Zhang Yu-Pei,et al.Diagnostic Accuracy of Computerized Bowel Sound Analysis with Non-Invasive Devices for Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis[J].Chinese Medical Sciences Journal,2024,39(02):122-130.
闫夏晓,张越伦,张钰佩等.无创肠鸣音分析诊断肠易激综合征的准确性：系统综述和荟萃分析[J].中国医学科学杂志（英文）,2024,39(02):122-130. DOI： 10.24920/004307.

Yan Xia-Xiao,Zhang Yue-Lun,Zhang Yu-Pei,et al.Diagnostic Accuracy of Computerized Bowel Sound Analysis with Non-Invasive Devices for Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis[J].Chinese Medical Sciences Journal,2024,39(02):122-130. DOI： 10.24920/004307.

摘要

目的

采用系统回顾和荟萃分析评估肠鸣音分析对肠易激综合征（irritable bowel syndrome，IBS）的诊断准确性。

方法

检索MEDLINE，EMBASE，Cochrane Library，Web of Science和IEEE Xplore数据库中有关肠鸣音分析对IBS诊断准确性的横断面和病例对照研究。检索截止时间为2023年9月。计算灵敏度、特异度、阳性似然比、阴性似然比和诊断比值比及95%置信区间（confidence interval，

），并绘制受试者工作特征曲线，计算曲线下面积。

结果

共纳入4项研究。肠鸣音分析诊断IBS的灵敏度、特异度、阳性似然比、阴性似然比和诊断比值比分别为0.94（95%

，0.87～0.97），0.89（95%

，0.81～0.94），8.43（95%

，4.81～14.78），0.07（95%

，0.03～0.15）和118.86（95%

，44.18～319.75），曲线下面积为 0.97（95%

，0.95～0.98）。

结论

肠鸣音分析是一种诊断IBS的有效工具。然而，由于高质量研究数据有限，结果的真实性和适用性存疑，需要开展更多临床诊断试验，并优化可穿戴设备进行肠鸣音监测和分析。

Abstract

Objective

To assess the diagnostic accuracy of bowel sound analysis for irritable bowel syndrome (IBS) with a systematic review and meta-analysis.

Methods

We searched MEDLINE

Embase

the Cochrane Library

Web of Science

and IEEE Xplore databases until September 2023. Cross-sectional and case-control studies on diagnostic accuracy of bowel sound analysis for IBS were identified. We estimated the pooled sensitivity

specificity

positive likelihood ratio

negative likelihood ratio

and diagnostic odds ratio with a 95% confidence interval (

)

and plotted a summary receiver operating characteristic curve and evaluated the area under the curve.

Results

Four studies were included. The pooled diagnostic sensitivity

specificity

positive likelihood ratio

negative likelihood ratio

and diagnostic odds ratio were 0.94 (95%

0.87‒0.97)

0.89 (95%

0.81‒0.94)

8.43 (95%

4.81‒1

4.78)

0.07 (95%

0.03‒0.15)

and 118.86 (95%

44.18‒319.75)

respectively

with an area under the curve of 0.97 (95%

0.95‒0.98).

Conclusions

Computerized bowel sound analysis is a promising tool for IBS. However

limited high-quality data make the results' validity and applicability questionable. There is a need for more diagnostic test accuracy studies and better wearable devices for monitoring and analysis of IBS.

关键词

Keywords

references

Drossman DA , Hasler WL . Rome IV-functional GI disorders: disorders of gut-brain interaction . Gastroenterology 2016 ; 150 ( 6 ): 1257 - 61 . doi: 10.1053/j.gastro.2016.03.035 http://dx.doi.org/10.1053/j.gastro.2016.03.035 .

Lovell RM , Ford AC . Global prevalence of and risk factors for irritable bowel syndrome: a meta-analysis . Clin Gastroenterol Hepatol 2012 ; 10 ( 7 ): 712 - 21.e4 . doi: 10.1016/j.cgh.2012.02.029 http://dx.doi.org/10.1016/j.cgh.2012.02.029 .

Black CJ , Ford AC . Global burden of irritable bowel syndrome: trends, predictions and risk factors . Nat Rev Gastroenterol Hepatol 2020 ; 17 ( 8 ): 473 - 86 . doi: 10.1038/s41575-020-0286-8 http://dx.doi.org/10.1038/s41575-020-0286-8 .

Mearin F , Lacy BE , Chang L , et al . Bowel disorders . Gastroenterology 2016 ; 150 ( 6 ): 1393 - 407.e5 . doi: 10.1053/j.gastro.2016.02.031 http://dx.doi.org/10.1053/j.gastro.2016.02.031 .

Spiegel BM , Farid M , Esrailian E , et al . Is irritable bowel syndrome a diagnosis of exclusion?: a survey of primary care providers, gastroenterologists, and IBS experts . Am J Gastroenterol 2010 ; 105 ( 4 ):‍ 848 - 58 . doi: 10.1038/ajg.2010.47 http://dx.doi.org/10.1038/ajg.2010.47 .

Ford AC , Lacy BE , Talley NJ . Irritable bowel syndrome . N Engl J Med 2017 ; 376 ( 26 ): 2566 - 78 . doi: 10.1056/NEJMra1607547 http://dx.doi.org/10.1056/NEJMra1607547 .

Palsson OS , Whitehead WE , van Tilburg MA , et al . Development and validation of the Rome IV diagnostic questionnaire for adults . Gastroenterology 2016 ; 150 ( 6 ): 1481 - 91 doi: 10.1053/j.gastro.2016.02.014 http://dx.doi.org/10.1053/j.gastro.2016.02.014 .

O'Connor OJ , McSweeney SE , McWilliams S , et al . Role of radiologic imaging in irritable bowel syndrome: evidence-based review . Radiology 2012 ; 262 ( 2 ): 485 - 94 . doi: 10.1148/radiol.11110423 http://dx.doi.org/10.1148/radiol.11110423 .

Sood R , Gracie DJ , Law GR , et al . Systematic review with meta-analysis: the accuracy of diagnosing irritable bowel syndrome with symptoms, biomarkers and/or psychological markers . Aliment Pharmacol Ther 2015 ; 42 ( 5 ): 491 - 503 . doi: 10.1111/apt.13283 http://dx.doi.org/10.1111/apt.13283 .

Vulpoi RA , Luca M , Ciobanu A , et al . The potential use of artificial intelligence in irritable bowel syndrome management . Diagnostics (Basel) 2023 ; 13 ( 21 ): 3336 . doi: 10.3390/diagnostics13213336 http://dx.doi.org/10.3390/diagnostics13213336 .

Zaborski D , Halczak M , Grzesiak W , et al . Recording and analysis of bowel sounds . Euroasian J Hepatogastroenterol 2015 ; 5 ( 2 ): 67 - 73 . doi: 10.5005/jp-journals-10018-1137 http://dx.doi.org/10.5005/jp-journals-10018-1137 .

Craine BL , Silpa M , O'Toole CJ . Computerized auscultation applied to irritable bowel syndrome . Dig Dis Sci 1999 ; 44 ( 9 ):‍ 1887 - 92 . doi: 10.1023/a:1018859110022 http://dx.doi.org/10.1023/a:1018859110022 .

Craine BL , Silpa ML , O'Toole CJ . Enterotachogram analysis to distinguish irritable bowel syndrome from Crohn's disease . Dig Dis Sci 2001 ; 46 ( 9 ): 1974 - 9 . doi: 10.1023/a:1010651602095 http://dx.doi.org/10.1023/a:1010651602095 .

Du X , Allwood G , Webberley KM , et al . Noninvasive diagnosis of irritable bowel syndrome via bowel sound features: proof of concept . Clin Transl Gastroenterol 2019 ; 10 ( 3 ): e00017 . doi: 10.14309/ctg.0000000000000017 http://dx.doi.org/10.14309/ctg.0000000000000017 .

Du X , Webberley KM , Marshall BJ . Highly seneitive diagnosis of irritable bowel syndrome via non-invasive methods . Gastroenterology 2020 ; 158 ( 6 ): S855 .

Wang F , Wu D , Jin P , et al . A flexible skin-mounted wireless acoustic device for bowel sounds monitoring and evaluation . Science China (Information Sciences) 2019 ; 62 ( 10 ): 171 - 81 .

Salameh JP , Bossuyt PM , McGrath TA , et al . Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist . BMJ 2020 ; 370 : m2632 . doi: 10.1136/bmj.m2632 http://dx.doi.org/10.1136/bmj.m2632 .

Whiting PF , Rutjes AW , Westwood ME , et al . QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies . Ann Intern Med 2011 ; 155 ( 8 ): 529 - 36 . doi: 10.7326/0003-4819-155-8-201110180-00009 http://dx.doi.org/10.7326/0003-4819-155-8-201110180-00009 .

Emoto T , Shono K , Abeyratne UR , et al . ARMA-based spectral bandwidth for evaluation of bowel motility by the analysis of bowel sounds . Physiol Meas 2013 ; 34 ( 8 ): 925 - 36 . doi: 10.1088/0967-3334/34/8/925 http://dx.doi.org/10.1088/0967-3334/34/8/925 .

Dimoulas C , Kalliris G , Papanikolaou G , et al . Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring . Expert Systems Applications 2008 ; 34 ( 1 ): 26 - 41 .

Dimoulas CA . Audiovisual spatial-audio analysis by means of sound localization and imaging: a multimedia healthcare framework in abdominal sound mapping . IEEE Trans Multimedia 2016 ; 18 ( 10 ): 1969 - 76 .

Huang Y , Song I , Rana P , et al . Fast diagnosis of bowel activities . 2017 International Joint Conference on Neural Networks ; 2017 May 14- 19 ; Anchorage, AK, USA. New York : IEEE ; 2017. doi: 10.1109/IJCNN.2017.7966234 http://dx.doi.org/10.1109/IJCNN.2017.7966234 .

Zhao K , Jiang H , Wang Z , et al . Long-term bowel sound monitoring and segmentation by wearable devices and convolutional neural networks . IEEE Trans Biomed Circuits Syst 2020 ; 14 ( 5 ):‍ 985 - 96 . doi: 10.1109/tbcas.2020.3018711 http://dx.doi.org/10.1109/tbcas.2020.3018711 .

Inderjeeth AJ , Webberley KM , Muir J , et al . The potential of computerised analysis of bowel sounds for diagnosis of gastrointestinal conditions: a systematic review . Syst Rev 2018 ; 7 ( 1 ):‍ 124 . doi: 10.1186/s13643-018-0789-3 http://dx.doi.org/10.1186/s13643-018-0789-3 .

浏览量

786

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

关联资源

Value of Preoperative Neutrophil-to-Lymphocyte Ratio in Predicting Prognosis of Surgically Resectable Urinary Cancers: Systematic Review and Meta-Analysis

Methylenetrahydrofolate Reductase Gene C677T Polymorphism and Diabetic Retinopathy: a Meta-Analysis