Factors associated with failed polyp retrieval at screening colonoscopy. 2013

Yoriaki Komeda, and Noriko Suzuki, and Marshall Sarah, and Siwan Thomas-Gibson, and Margaret Vance, and Chris Fraser, and Kinesh Patel, and Brian P Saunders
The Wolfson Unit for Endoscopy, St. Mark's Hospital and Academic Institute, Imperial College London, London, United Kingdom.

BACKGROUND Colonoscopy reduces colorectal cancer mortality and morbidity principally by the detection and removal of colon polyps. It is important to retrieve resected polyps to be able to ascertain their histologic characteristics. OBJECTIVE The aim of the study was to evaluate the cause of polyp retrieval failure. METHODS Bowel cancer screening colonoscopy data were collected prospectively. METHODS The Bowel Cancer Screening Program in the National Health Service. METHODS Screening participants were referred to our screening center after a positive fecal occult blood test result. METHODS A total of 4383 polyps were endoscopically removed from 1495 patients from October 2006 to February 2011. METHODS The number, size, shape, and location of polyps; polyp removal method; quality of bowel preparation; total examination time; and insertion and withdrawal times in collected data were examined retrospectively. RESULTS The polyp retrieval rate was 93.9%, and the failure rate was 6.1%, thus 267 polyps were not retrieved. In univariate analysis, factors affecting polyp retrieval failure were small polyp size, sessile polyps, and cold snare polypectomy (P < .001). Polyp retrieval was less successful in the proximal colon (P = .002). In multivariate analysis, polyp size and method of removal were independent risk factors for polyp retrieval failure (P < .001). CONCLUSIONS Retrospective study. CONCLUSIONS Small polyp size and cold snare removal were found to be significantly associated with polyp retrieval failure. It was difficult to retrieve small, sessile, and proximal colon polyps. Optical diagnosis could be an efficacious option as a surrogate for histologic diagnosis for these lesions in the near future.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D003106 Colon The segment of LARGE INTESTINE between the CECUM and the RECTUM. It includes the ASCENDING COLON; the TRANSVERSE COLON; the DESCENDING COLON; and the SIGMOID COLON. Appendix Epiploica,Taenia Coli,Omental Appendices,Omental Appendix,Appendices, Omental,Appendix, Omental
D003111 Colonic Polyps Discrete tissue masses that protrude into the lumen of the COLON. These POLYPS are connected to the wall of the colon either by a stalk, pedunculus, or by a broad base. Colonic Polyp,Polyp, Colonic,Polyps, Colonic
D003113 Colonoscopy Endoscopic examination, therapy or surgery of the luminal surface of the colon. Colonoscopic Surgical Procedures,Surgical Procedures, Colonoscopic,Colonoscopic Surgery,Surgery, Colonoscopic,Colonoscopic Surgeries,Colonoscopic Surgical Procedure,Colonoscopies,Procedure, Colonoscopic Surgical,Procedures, Colonoscopic Surgical,Surgeries, Colonoscopic,Surgical Procedure, Colonoscopic
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D015999 Multivariate Analysis A set of techniques used when variation in several variables are studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables. Analysis, Multivariate,Multivariate Analyses
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D017211 Treatment Failure A measure of the quality of health care by assessment of unsuccessful results of management and procedures used in combating disease, in individual cases or series. Failure, Treatment,Failures, Treatment,Treatment Failures

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