کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3268877 1208101 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improving the quality of liver resection: a systematic review and critical analysis of the available prognostic models
ترجمه فارسی عنوان
بهبود کیفیت رزکسیون کبد: یک بررسی سیستماتیک و تجزیه و تحلیل بحرانی از مدل های پیش آگهی در دسترس است
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی غدد درون ریز، دیابت و متابولیسم
چکیده انگلیسی

BackgroundLiver resection is considered to offer the only hope of cure for patients with liver malignancy. However, there are concerns about its safety, particularly in view of the increasing efficacy of less invasive strategies. No systematic review of prognostic research in liver resections has yet been performed.MethodsA systematic search identified articles published between 1999 and 2012 that performed a risk prediction analysis in patients undergoing liver resection. Studies were included if an outcome occurring within 90 days of surgery was identified, multivariable analysis performed and regression coefficients provided. The main endpoints were the outcomes and predictors chosen by the investigators, their definition, the performance and validity of the models, and the quality of the study as assessed using the QUIPS (quality in prognosis studies) tool.ResultsA total of 91 studies were included. Eleven were prospective, but only two of these were registered. Twenty‐eight endpoints were identified. These focused on postoperative morbidity or mortality, but many were redundant or ill defined and other relevant patient‐reported outcomes were lacking. Predictors were not standardized, were poorly defined and overlapped. Only nine studies assessed the performance of their models and seven made an internal or temporal validation, but none reported an external validation or impact analysis. The median QUIPS score was 34 out of 50, indicating a high risk for bias.ConclusionPrognostic research in liver resection is still at the developmental stage.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: HPB - Volume 17, Issue 3, March 2015, Pages 209–221
نویسندگان
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