An automated data algorithm to distinguish screening and diagnostic colorectal cancer endoscopy exams.
An automated data algorithm to distinguish screening and diagnostic colorectal cancer endoscopy exams.
复制标题
一种用于区分筛查和诊断结直肠癌内窥镜检查的自动化数据算法。
DOI:
10.1093/jncimonographs/lgi049
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发表时间:
2005
期刊:
影响因子:
--
通讯作者:
Geiger,AnnM
中科院分区:
文献类型:
--
作者:
Haque,Reina;Chiu,Vicki;Mehta,KapilR;Geiger,AnnM
Despite questions about accuracy, automated data are used increasingly for research and quality measurement. The goal of this study was to develop an automated data algorithm designed to distinguish screening and diagnostic endoscopy (sigmoidoscopy and colonoscopy) exams. We assessed the algorithm's ability to correctly classify the exams using paper medical records as the “gold standard.” The algorithm used diagnostic codes to identify the indication of the endoscopies. The algorithm's ability to classify the indication varied by endoscopy exam. The sensitivities for identifying diagnostic sigmoidoscopy and colonoscopy were 48.1% and 23.8%, respectively. The algorithm missed most of the diagnostic endoscopies. Conversely, the sensitivities for identifying screening sigmoidoscopy and colonoscopy were high (87.9% and 84.4%, respectively) but were associated with low specificities. Our findings suggest that studies relying solely on automated data overestimate screening rates if indication is not considered. The automated algorithm presented here needs further improvements to better differentiate screening from diagnostic exams.
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影响因子:
5
作者:
Mandelson,MT;LaCroix,AZ;Anderson,LA;Nadel,MR;Lee,NC
通讯作者:
Lee,NC
影响因子:
3
作者:
Eisenberg Jm
通讯作者:
Eisenberg Jm
DOI:
--
发表时间:
2001
期刊:
Effective clinical practice : ECP.
影响因子:
--
作者:
Erban,S;Zapka,J;Puleo,E;Vickers-Lahti,M
通讯作者:
Vickers-Lahti,M
影响因子:
5.5
作者:
Mandelson,MT;Curry,SJ;Anderson,LA;Nadel,MR;Lee,NC;Rutter,CM;LaCroix,AZ
通讯作者:
LaCroix,AZ
DOI:
10.1093/jnci/93.22.1704
发表时间:
2001-11-21
期刊:
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子:
--
作者:
Breen, N;Wagener, DK;Ballard-Barbash, R
通讯作者:
Ballard-Barbash, R