Literature DB >> 33687468

Screening for Lung Cancer With Low-Dose Computed Tomography: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

Daniel E Jonas1,2, Daniel S Reuland3,4,5, Shivani M Reddy1,6, Max Nagle7, Stephen D Clark8, Rachel Palmieri Weber1,4, Chineme Enyioha9, Teri L Malo5, Alison T Brenner5, Charli Armstrong1,4, Manny Coker-Schwimmer1,4, Jennifer Cook Middleton1,4, Christiane Voisin1,4, Russell P Harris3,4.   

Abstract

Importance: Lung cancer is the leading cause of cancer-related death in the US. Objective: To review the evidence on screening for lung cancer with low-dose computed tomography (LDCT) to inform the US Preventive Services Task Force (USPSTF). Data Sources: MEDLINE, Cochrane Library, and trial registries through May 2019; references; experts; and literature surveillance through November 20, 2020. Study Selection: English-language studies of screening with LDCT, accuracy of LDCT, risk prediction models, or treatment for early-stage lung cancer. Data Extraction and Synthesis: Dual review of abstracts, full-text articles, and study quality; qualitative synthesis of findings. Data were not pooled because of heterogeneity of populations and screening protocols. Main Outcomes and Measures: Lung cancer incidence, lung cancer mortality, all-cause mortality, test accuracy, and harms.
Results: This review included 223 publications. Seven randomized clinical trials (RCTs) (N = 86 486) evaluated lung cancer screening with LDCT; the National Lung Screening Trial (NLST, N = 53 454) and Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON, N = 15 792) were the largest RCTs. Participants were more likely to benefit than the US screening-eligible population (eg, based on life expectancy). The NLST found a reduction in lung cancer mortality (incidence rate ratio [IRR], 0.85 [95% CI, 0.75-0.96]; number needed to screen [NNS] to prevent 1 lung cancer death, 323 over 6.5 years of follow-up) with 3 rounds of annual LDCT screening compared with chest radiograph for high-risk current and former smokers aged 55 to 74 years. NELSON found a reduction in lung cancer mortality (IRR, 0.75 [95% CI, 0.61-0.90]; NNS to prevent 1 lung cancer death of 130 over 10 years of follow-up) with 4 rounds of LDCT screening with increasing intervals compared with no screening for high-risk current and former smokers aged 50 to 74 years. Harms of screening included radiation-induced cancer, false-positive results leading to unnecessary tests and invasive procedures, overdiagnosis, incidental findings, and increases in distress. For every 1000 persons screened in the NLST, false-positive results led to 17 invasive procedures (number needed to harm, 59) and fewer than 1 person having a major complication. Overdiagnosis estimates varied greatly (0%-67% chance that a lung cancer was overdiagnosed). Incidental findings were common, and estimates varied widely (4.4%-40.7% of persons screened). Conclusions and Relevance: Screening high-risk persons with LDCT can reduce lung cancer mortality but also causes false-positive results leading to unnecessary tests and invasive procedures, overdiagnosis, incidental findings, increases in distress, and, rarely, radiation-induced cancers. Most studies reviewed did not use current nodule evaluation protocols, which might reduce false-positive results and invasive procedures for false-positive results.

Entities:  

Mesh:

Year:  2021        PMID: 33687468     DOI: 10.1001/jama.2021.0377

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  49 in total

Review 1.  Immune response and inflammation in cancer health disparities.

Authors:  Maeve Kiely; Brittany Lord; Stefan Ambs
Journal:  Trends Cancer       Date:  2021-12-27

2.  Evidence of Racial Disparities in the Lung Cancer Screening Process: a Systematic Review and Meta-Analysis.

Authors:  Yukiko Kunitomo; Brett Bade; Craig G Gunderson; Kathleen M Akgün; Alexandria Brackett; Lynn Tanoue; Lori A Bastian
Journal:  J Gen Intern Med       Date:  2022-07-15       Impact factor: 6.473

Review 3.  Older Patients with Lung Cancer: a Summary of Seminal Contributions to Optimal Patient Care.

Authors:  Alina Basnet; Asrar Alahmadi; Ajeet Gajra
Journal:  Curr Oncol Rep       Date:  2022-07-28       Impact factor: 5.945

4.  Applicability of the USPSTF Lung Cancer Screening Guidelines in a Predominantly Black Veteran Population.

Authors:  Thomas N Rusher; Lekha Deere; Albert Jang; Rahul Kamat; Jaime Palomino
Journal:  Fed Pract       Date:  2022-05-13

Review 5.  Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.

Authors:  Asha Bonney; Reem Malouf; Corynne Marchal; David Manners; Kwun M Fong; Henry M Marshall; Louis B Irving; Renée Manser
Journal:  Cochrane Database Syst Rev       Date:  2022-08-03

6.  Improving smoking history documentation in the electronic health record for lung cancer risk assessment and screening in primary care: A case study.

Authors:  Elizabeth Peterson; Kathryn Harris; Farhood Farjah; Nkem Akinsoto; Leah M Marcotte
Journal:  Healthc (Amst)       Date:  2021-08-24

Review 7.  A narrative review of deep learning applications in lung cancer research: from screening to prognostication.

Authors:  Jong Hyuk Lee; Eui Jin Hwang; Hyungjin Kim; Chang Min Park
Journal:  Transl Lung Cancer Res       Date:  2022-06

8.  Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study.

Authors:  Minsoo Chun; Jin Hwa Choi; Sihwan Kim; Chulkyun Ahn; Jong Hyo Kim
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

9.  Effect of Incidental Findings Information on Lung Cancer Screening Intent: a Randomized Controlled Trial.

Authors:  Stephen D Clark; Daniel S Reuland; Alison T Brenner; Daniel E Jonas
Journal:  J Gen Intern Med       Date:  2022-02-02       Impact factor: 6.473

10.  The 2021 US Preventive Services Task Force Recommendation on Lung Cancer Screening: The More Things Stay the Same….

Authors:  Mayuko Ito Fukunaga; Renda Soylemez Wiener; Christopher G Slatore
Journal:  JAMA Oncol       Date:  2021-05-01       Impact factor: 31.777

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