Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort

2015 ◽  
Vol 8 (9) ◽  
pp. 777-785 ◽  
Author(s):  
Kuanrong Li ◽  
Anika Hüsing ◽  
Disorn Sookthai ◽  
Manuela Bergmann ◽  
Heiner Boeing ◽  
...  
2017 ◽  
Vol 12 (1) ◽  
pp. S579 ◽  
Author(s):  
Martin Tammemägi ◽  
Joanne Hader ◽  
Monica Yu ◽  
Kiran Govind ◽  
Erin Svara ◽  
...  

2020 ◽  
Vol 35 (10) ◽  
pp. 899-912
Author(s):  
Anika Hüsing ◽  
Rudolf Kaaks

Abstract As randomized trials in the USA and Europe have convincingly demonstrated efficacy of lung cancer screening by computed tomography (CT), European countries are discussing the introduction of screening programs. To maintain acceptable cost-benefit and clinical benefit-to-harm ratios, screening should be offered to individuals at sufficiently elevated risk of having lung cancer. Using federal-wide survey and lung cancer incidence data (2008–2013), we examined the performance of four well-established risk models from the USA (PLCOM2012, LCRAT, Bach) and the UK (LLP2008) in the German population, comparing with standard eligibility criteria based on age limits, minimal pack years of smoking (or combination of total duration with average intensity) and maximum years since smoking cessation. The eligibility criterion recommended by the United States Preventive Services Taskforce (USPSTF) would select about 3.2 million individuals, a group equal in size to the upper fifth of ever smokers age 50–79 at highest risk, and to 11% of all adults aged 50–79. According to PLCOM2012, the model showing best concordance between numbers of lung cancer cases predicted and reported in registries, persons with 5-year risk ≥ 1.7% included about half of all lung cancer incidence in the full German population. Compared to eligibility criteria (e.g. USPSTF), risk models elected individuals in higher age groups, including ex-smokers with longer average quitting times. Further studies should address how in Germany these shifts may affect expected benefits of CT screening in terms of life-years gained versus the potential harm of age-specific increasing risk of over-diagnosis.


2019 ◽  
Vol 29 (1) ◽  
pp. 19-24
Author(s):  
Wei Hao Kok ◽  
Andrea Ban Yu-Lin ◽  
Shamsul Azhar Shah ◽  
Faisal Abdul Hamid

Background: Lung cancer is the second most common cause of cancer-related death and the third most common cancer in Malaysia. The rising prevalence of lung cancer suggests the need to consider disease screening for early detection, especially in the high-risk population, as it offers the best chance of cure. Objectives: The study aims to determine the willingness of high-risk respondents to participate in a lung cancer screening programme if made available to them, and to determine their attitude towards lung cancer screening and explore factors that might affect participation in a screening programme. Method: This is a cross-sectional, descriptive study over 6 months conducted in adult patients attending medical clinics in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using face-to-face administered questionnaires. Results: In total 180 respondents were analysed. There were 177 (98.3%) males. Mean age was 59.8 ± 9.1 years. Of the respondents, 138 (76.7%) had poor knowledge about cancer screening. Former smokers comprised 119 (66.1%) of the participants, and 61 (33.9%) were current smokers. In total, 141 (78.3%) respondents indicated willingness to participate in a lung cancer screening programme. Out of this group, 68 (48.2%) respondents were unwilling to pay for the procedure. Only 18 (12.8%) were unwilling to undergo lung cancer treatment if detected early. Conclusions: Awareness about general cancer screening is low. Our study showed that when informed of their high-risk status, respondents were willing to participate in lung cancer screening. There should be more health programmes to promote and raise awareness about lung cancer.


CHEST Journal ◽  
2004 ◽  
Vol 126 (4) ◽  
pp. 749S
Author(s):  
Gregory M. Loewen ◽  
DongFeng Tan ◽  
Donald Klippenstein ◽  
Zachary Grossman ◽  
Enriqueta Nava ◽  
...  

BMJ Open ◽  
2015 ◽  
Vol 5 (7) ◽  
pp. e008254 ◽  
Author(s):  
Noor Ali ◽  
Kate J Lifford ◽  
Ben Carter ◽  
Fiona McRonald ◽  
Ghasem Yadegarfar ◽  
...  

2013 ◽  
Vol 2 ◽  
pp. 114-120 ◽  
Author(s):  
Kinga Kiszka ◽  
Lucyna Rudnicka-Sosin ◽  
Romana Tomaszewska ◽  
Małgorzata Urbańczyk-Zawadzka ◽  
Maciej Krupiński ◽  
...  

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