کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4130123 1606510 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Interobserver diagnostic variability at “moderate” agreement levels could significantly change the prognostic estimates of clinicopathologic studies: evaluation of the problem using evidence from patients with diffuse lung disease
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی آسیب‌شناسی و فناوری پزشکی
پیش نمایش صفحه اول مقاله
Interobserver diagnostic variability at “moderate” agreement levels could significantly change the prognostic estimates of clinicopathologic studies: evaluation of the problem using evidence from patients with diffuse lung disease
چکیده انگلیسی

Does interobserver diagnostic variability (IODV) influence the accuracy of prognostic estimates of clinicopathologic studies? “Best evidence” from usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP) patients was used to investigate the effects of IODV. Systematic literature review identified studies of UIP and NSIP providing “best evidence.” Survival proportions from studies were compared using χ2 and meta-analysis. Interobserver diagnostic variability was simulated in the data arbitrarily at 5% to 30% intervals. The various “diagnoses” were evaluated with κ, and χ2 statistics were used to evaluate the interobserver agreement and compare survival proportions. The survival proportions for UIP and NSIP patients in 7 retrospective level III studies ranged from 11% to 58% and 39% to 100%, respectively. Analysis of simulation results with κ and χ2 statistics showed that IODV greater than 10% resulted in significantly different survival proportion estimations. Interobserver diagnostic variability at moderate agreement levels significantly influences prognostic estimates. Evaluation and minimization of IODV in future clinicopathologic studies are indicated.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Diagnostic Pathology - Volume 14, Issue 2, April 2010, Pages 88–93
نویسندگان
, ,