Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review
المؤلفون المشاركون
Tang, Jin Ling
Feng, Qi
May, Margaret T.
Ingle, Suzanne
Lu, Ming
Yang, Zuyao
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-18
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
This study was designed to review the methodology and reporting of gastric cancer prognostic models and identify potential problems in model development.
Methods.
This systematic review was conducted following the CHARMS checklist.
MEDLINE and EMBASE were searched.
Information on patient characteristics, methodological details, and models’ performance was extracted.
Descriptive statistics was used to summarize the methodological and reporting quality.
Results.
In total, 101 model developments and 32 external validations were included.
The median (range) of training sample size, number of death, and number of final predictors were 360 (29 to 15320), 193 (14 to 9560), and 5 (2 to 53), respectively.
Ninety-one models were developed from routine clinical data.
Statistical assumptions were reported to be checked in only nine models.
Most model developments (94/101) used complete-case analysis.
Discrimination and calibration were not reported in 33 and 55 models, respectively.
The majority of models (81/101) have never been externally validated.
None of the models have been evaluated regarding clinical impact.
Conclusions.
Many prognostic models have been developed, but their usefulness in clinical practice remains uncertain due to methodological shortcomings, insufficient reporting, and lack of external validation and impact studies.
Impact.
Future research should improve methodological and reporting quality and emphasize more on external validation and impact assessment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Feng, Qi& May, Margaret T.& Ingle, Suzanne& Lu, Ming& Yang, Zuyao& Tang, Jin Ling. 2019. Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1126120
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Feng, Qi…[et al.]. Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1126120
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Feng, Qi& May, Margaret T.& Ingle, Suzanne& Lu, Ming& Yang, Zuyao& Tang, Jin Ling. Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1126120
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126120
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر