Literature DB >> 29293111

Polyp detection rate may predict adenoma detection rate: a meta-analysis.

Yaron Niv1.   

Abstract

BACKGROUND: Adenoma detection rate (ADR) is defined as the number of colonoscopies with at least one adenoma, expressed as the ratio of the total number of colonoscopies performed. Recently, an application of a conversion factor to estimate the ADR from the polyp detection rate (PDR) was described. AIM: In this meta-analysis, we examined the correlation between ADR and PDR in the published studies and assessed the relative ratio of these ratios for a better and more accurate estimation.
METHODS: English Medical literature searches were performed for 'PDR' AND 'ADR'. A meta-analysis was carried out for papers that fulfilled the inclusion criteria using comprehensive meta-analysis software.
RESULTS: Twenty-five studies and 42 sets of data, including 31 623 patients, from nine countries published till 31 August 2017, were found. Funnel plot did not indicate a significant publication bias. relative ratio for ADR calculated from PDR was 0.688, 95% confidence intervals: 0.680-0.695, P value of less than 0.0001 in the meta-analysis fixed model. Heterogeneity (the proportion of inconsistency in individual studies) between studies was significant, with Q=492.753, d.f. (Q) 41, P<0.0001, and I 91.679.
CONCLUSION: We found the ratio of 0.688 can be used to calculate ADR from PDR for the individual endoscopist or for a group of endoscopists before receiving the formal results from the pathology department.

Entities:  

Mesh:

Year:  2018        PMID: 29293111     DOI: 10.1097/MEG.0000000000001062

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  3 in total

1.  Polyp Detection Rate Correlates Strongly with Adenoma Detection Rate in Trainee Endoscopists.

Authors:  Sandy Ng; Aditya K Sreenivasan; Jillian Pecoriello; Peter S Liang
Journal:  Dig Dis Sci       Date:  2020-01-11       Impact factor: 3.199

2.  Implementing visual cues to improve the efficacy of screening colonoscopy: exploiting the Hawthorne effect.

Authors:  Eric Omar Then; Christopher Brana; Sriharsha Dadana; Srikanth Maddika; Andrew Ofosu; Sabrina Brana; Tina Wexler; Tagore Sunkara; Andrea Culliford; Vinaya Gaduputi
Journal:  Ann Gastroenterol       Date:  2020-05-10

3.  Polyp detection rates as quality indicator in clinical versus screening colonoscopy.

Authors:  G Hoff; E Botteri; O Høie; K Garborg; H Wiig; G Huppertz-Hauss; V Moritz; M Bretthauer; Ø Holme
Journal:  Endosc Int Open       Date:  2019-01-18
  3 in total

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