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DOI 10.3346/jkms.2018.33.e117

Медицинская библиотека · Journal of Korean medical science · 2018

Training Effect on the Inter-observer Agreement in Endoscopic Diagnosis and Grading of Atrophic Gastritis according to Level of Endoscopic Experience.

Jin Eun Hyo, Chung Su Jin, Lim Joo Hyun, Chung Goh Eun, Lee Changhyun, Yang Jong In, Kim Joo Sung

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Аннотация

BACKGROUND

Endoscopic diagnosis of atrophic gastritis can contribute to risk stratification and thereby tailored screening for gastric cancer. We aimed to evaluate the effect of training on inter-observer agreement in diagnosis and grading of endoscopic atrophic gastritis (EAG) according to the level of endoscopists' experience.

METHODS

Twelve endoscopists (six less-experienced and six experienced) participated in this prospective study. The training session consisted of 1) four interventions with two-week intervals, and 2) a follow-up period (two follow-up assessments without feedback). EAG was categorized as C1 to O3 according to the Kimura-Takemoto classification. Kappa statistics were used to calculate inter-observer agreement.

RESULTS

At baseline, kappa indexes were 0.18 in the less-experienced group and 0.32 in the experienced group, respectively. After four interventions with feedback, the kappa index improved in both groups and was sustained during the follow-up period. Overall diagnostic yields of EAG were 43.1% ± 10.7% in pre-intervention and 46.8% ± 5.9% in post-intervention. Variability in the rate of diagnosis of EAG significantly decreased in the less-experienced group (r = 0.04, P = 0.003).

CONCLUSION

Irrespective of experience level, inter-observer agreement for diagnosis and grading of EAG improved after training and remained stable after intervention.

Для цитирования: Jin Eun Hyo, Chung Su Jin, Lim Joo Hyun, Chung Goh Eun, Lee Changhyun, Yang Jong In, Kim Joo Sung. Training Effect on the Inter-observer Agreement in Endoscopic Diagnosis and Grading of Atrophic Gastritis according to Level of Endoscopic Experience.. Journal of Korean medical science. 2018. DOI: 10.3346/jkms.2018.33.e117.

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