Accuracy of alcohol and breast cancer risk information on Drinkaware’s website

نویسندگان

  • John Larsen
  • Paul Wallace
  • Fiona Sim
  • Jonathan Chick
  • Sarah Jarvis
  • Iona Lidington
  • Stephen Neidle
  • Graham Ogden
  • Lynn Owens
چکیده

A recent paper in Drug and Alcohol Review analysed the information on cancer disseminated by 27 alcohol industry funded organisations. The independent UK alcohol education charity Drinkaware was among the organisations whose information was studied, and based on the analysis claims were made of misrepresentation of evidence about the alcohol-related risk of cancer and alcohol industry influence. This commentary challenges the validity of these findings in respect to the evidence relating to the Drinkaware information, as the analysis is found to be misrepresenting the information by both disregarding the wider information content provided and the order and prominence with which alcohol-related cancer risk is presented. Furthermore, it is argued that the public has a right to be provided with relevant evidence-based information about cancer risk. It is critical that Drinkaware's important public health function is not compromised by unjustified allegations of inaccuracy and by unwarranted attacks on its independence and integrity.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Applying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

متن کامل

Applying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

متن کامل

Breast Cancer Diagnosis from Perspective of Class Imbalance

Introduction: Breast cancer is the second cause of mortality among women. Early detection is the only rescue to reduce the risk of breast cancer mortality. Traditional methods cannot effectively diagnose tumor since they are based on the assumption of well-balanced dataset.. However, a hybrid method can help to alleviate the two-class imbalance problem existing in the ...

متن کامل

مطالعات درخت تصمیم در برآورد ریسک ابتلا به سرطان سینه با استفاده از چند شکلی‌های تک نوکلوئیدی

Abstract Introduction:   Decision tree is the data mining tools to collect, accurate prediction and sift information from massive amounts of data that are used widely in the field of computational biology and bioinformatics. In bioinformatics can be predict on diseases, including breast cancer. The use of genomic data including single nucleotide polymorphisms is a very important ...

متن کامل

A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 37  شماره 

صفحات  -

تاریخ انتشار 2018