scholarly journals Lung cancer mortality reduction by LDCT screening: UKLS randomised trial results and international meta-analysis

Author(s):  
John K. Field ◽  
Daniel Vulkan ◽  
Michael P.A. Davies ◽  
David R. Baldwin ◽  
Kate E. Brain ◽  
...  
Steroids ◽  
2017 ◽  
Vol 118 ◽  
pp. 47-54 ◽  
Author(s):  
Wentao Li ◽  
Xiaona Lin ◽  
Rui Wang ◽  
Feng Wang ◽  
Shaohua Xie ◽  
...  

2018 ◽  
Vol 60 (7) ◽  
pp. e356-e367 ◽  
Author(s):  
Hien Q. Le ◽  
John A. Tomenson ◽  
David B. Warheit ◽  
Jon P. Fryzek ◽  
Ashley P. Golden ◽  
...  

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Hien Le* ◽  
John Tomenson ◽  
Peter Morfeld ◽  
David Warheit ◽  
Brian Coleman ◽  
...  

2018 ◽  
Vol 22 (69) ◽  
pp. 1-276 ◽  
Author(s):  
Tristan Snowsill ◽  
Huiqin Yang ◽  
Ed Griffin ◽  
Linda Long ◽  
Jo Varley-Campbell ◽  
...  

BackgroundDiagnosis of lung cancer frequently occurs in its later stages. Low-dose computed tomography (LDCT) could detect lung cancer early.ObjectivesTo estimate the clinical effectiveness and cost-effectiveness of LDCT lung cancer screening in high-risk populations.Data sourcesBibliographic sources included MEDLINE, EMBASE, Web of Science and The Cochrane Library.MethodsClinical effectiveness – a systematic review of randomised controlled trials (RCTs) comparing LDCT screening programmes with usual care (no screening) or other imaging screening programmes [such as chest X-ray (CXR)] was conducted. Bibliographic sources included MEDLINE, EMBASE, Web of Science and The Cochrane Library. Meta-analyses, including network meta-analyses, were performed. Cost-effectiveness – an independent economic model employing discrete event simulation and using a natural history model calibrated to results from a large RCT was developed. There were 12 different population eligibility criteria and four intervention frequencies [(1) single screen, (2) triple screen, (3) annual screening and (4) biennial screening] and a no-screening control arm.ResultsClinical effectiveness – 12 RCTs were included, four of which currently contribute evidence on mortality. Meta-analysis of these demonstrated that LDCT, with ≤ 9.80 years of follow-up, was associated with a non-statistically significant decrease in lung cancer mortality (pooled relative risk 0.94, 95% confidence interval 0.74 to 1.19). The findings also showed that LDCT screening demonstrated a non-statistically significant increase in all-cause mortality. Given the considerable heterogeneity detected between studies for both outcomes, the results should be treated with caution. Network meta-analysis, including six RCTs, was performed to assess the relative clinical effectiveness of LDCT, CXR and usual care. The results showed that LDCT was ranked as the best screening strategy in terms of lung cancer mortality reduction. CXR had a 99.7% probability of being the worst intervention and usual care was ranked second. Cost-effectiveness – screening programmes are predicted to be more effective than no screening, reduce lung cancer mortality and result in more lung cancer diagnoses. Screening programmes also increase costs. Screening for lung cancer is unlikely to be cost-effective at a threshold of £20,000/quality-adjusted life-year (QALY), but may be cost-effective at a threshold of £30,000/QALY. The incremental cost-effectiveness ratio for a single screen in smokers aged 60–75 years with at least a 3% risk of lung cancer is £28,169 per QALY. Sensitivity and scenario analyses were conducted. Screening was only cost-effective at a threshold of £20,000/QALY in only a minority of analyses.LimitationsClinical effectiveness – the largest of the included RCTs compared LDCT with CXR screening rather than no screening. Cost-effectiveness – a representative cost to the NHS of lung cancer has not been recently estimated according to key variables such as stage at diagnosis. Certain costs associated with running a screening programme have not been included.ConclusionsLDCT screening may be clinically effective in reducing lung cancer mortality, but there is considerable uncertainty. There is evidence that a single round of screening could be considered cost-effective at conventional thresholds, but there is significant uncertainty about the effect on costs and the magnitude of benefits.Future workClinical effectiveness and cost-effectiveness estimates should be updated with the anticipated results from several ongoing RCTs [particularly the NEderlands Leuvens Longkanker Screenings ONderzoek (NELSON) screening trial].Study registrationThis study is registered as PROSPERO CRD42016048530.FundingThe National Institute for Health Research Health Technology Assessment programme.


2019 ◽  
Vol 65 (12) ◽  
pp. 1508-1514 ◽  
Author(s):  
Xue Tang ◽  
Guangbo Qu ◽  
Lingling Wang ◽  
Wei Wu ◽  
Yehuan Sun

SUMMARY OBJECTIVE Lung cancer is the leading cause of cancer-related death. To reduce lung cancer mortality and detect lung cancer in early stages, low dose CT screening is required. A meta-analysis was conducted to verify whether screening could reduce lung cancer mortality and to determine the optimal screening program. METHODS We searched PubMed, Web of Science, Cochrane library, ScienceDirect, and relevant Chinese databases. Randomized controlled trial studies with participants that were smokers older than 49 years (smoking >15 years or quit smoking 10 or 15 years ago) were included. RESULTS Nine RCT studies met the criteria. LDCT screening could find more lung cancer cases (RR=1.58, 95%CI=1.25-1.99, P<0.001) and more stage I lung cancers (RR=3.45, 95%CI=2.08-5.72, P<0.001) compared to chest-X ray or the no screening group. This indicated a statistically significant reduction in lung-cancer-specific mortality (RR=0.84, 95%CI=0.75-0.95, P=0.004), but without a statistically reduction in mortality due to all causes (RR=1.26, 95%CI=0.89-1.78, P=0.193). Annually, LDCT screening was sensitive in finding more lung cancers. CONCLUSIONS Low-dose CT screening is effective in finding more lung cancer cases and decreasing the deaths from lung cancer. Annual low-dose CT screening may be better than a biennial screening to detect more early-stage lung cancer cases.


2019 ◽  
Vol 146 (6) ◽  
pp. 1503-1513 ◽  
Author(s):  
Nikolaus Becker ◽  
Erna Motsch ◽  
Anke Trotter ◽  
Claus P. Heussel ◽  
Hendrik Dienemann ◽  
...  

Author(s):  
Hong-Bae Kim ◽  
Jae-Yong Shim ◽  
Byoungjin Park ◽  
Yong-Jae Lee

The aim of this study was to examine the relationship between main air pollutants and all cancer mortality by performing a meta-analysis. We searched PubMed, EMBASE (a biomedical and pharmacological bibliographic database of published literature produced by Elsevier), and the reference lists of other reviews until April 2018. A random-effects model was employed to analyze the meta-estimates of each pollutant. A total of 30 cohort studies were included in the final analysis. Overall risk estimates of cancer mortality for 10 µg/m3 per increase of particulate matter (PM)2.5, PM10, and NO2 were 1.17 (95% confidence interval (CI): 1.11–1.24), 1.09 (95% CI: 1.04–1.14), and 1.06 (95% CI: 1.02–1.10), respectively. With respect to the type of cancer, significant hazardous influences of PM2.5 were noticed for lung cancer mortality and non-lung cancer mortality including liver cancer, colorectal cancer, bladder cancer, and kidney cancer, respectively, while PM10 had harmful effects on mortality from lung cancer, pancreas cancer, and larynx cancer. Our meta-analysis of cohort studies indicates that exposure to the main air pollutants is associated with increased mortality from all cancers.


Lung Cancer ◽  
2011 ◽  
Vol 71 (3) ◽  
pp. 328-332 ◽  
Author(s):  
Claudia I. Henschke ◽  
Paolo Boffetta ◽  
Olga Gorlova ◽  
Rowena Yip ◽  
John O. DeLancey ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document