{"doi":"10.1056/nejmoa1312547","title":"Cost-Effectiveness of CT Screening in the National Lung Screening Trial","abstract":null,"journal":"New England Journal of Medicine","year":2014,"id":592690,"datarank":17.938804764124644,"base_score":6.318968113746434,"endowment":6.318968113746434,"self_citation_contribution":0.9478452170619653,"citation_network_contribution":16.99095954706268,"self_endowment_contribution":0.9478452170619653,"citer_contribution":16.99095954706268,"corpus_percentile":null,"corpus_rank":null,"citation_count":554,"citer_count":200,"citers_with_citation_signal":200,"citers_with_endowment":200,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":562897,"name":"Ilana F. Gareen","orcid":"0000-0002-0457-5595","position":1,"is_corresponding":false},{"id":1516704,"name":"Samir S. Soneji","orcid":null,"position":2,"is_corresponding":false},{"id":817434,"name":"JoRean D. Sicks","orcid":null,"position":3,"is_corresponding":false},{"id":546601,"name":"Emmett B. Keeler","orcid":null,"position":4,"is_corresponding":false},{"id":180824,"name":"Denise R. Aberle","orcid":null,"position":5,"is_corresponding":false},{"id":474817,"name":"Arash Naeim","orcid":"0000-0001-6830-5933","position":6,"is_corresponding":false},{"id":107377,"name":"Timothy R. Church","orcid":"0000-0003-3292-5035","position":7,"is_corresponding":false},{"id":131193,"name":"Gerard A. Silvestri","orcid":null,"position":8,"is_corresponding":false},{"id":1516708,"name":"Jeremy Gorelick","orcid":null,"position":9,"is_corresponding":false},{"id":413840,"name":"Constantine Gatsonis","orcid":"0000-0001-6846-4520","position":10,"is_corresponding":false},{"id":499286,"name":"William C. Black","orcid":"0000-0002-0516-0586","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Cost-Effectiveness of CT Screening in the National Lung Screening Trial","abstract":"BACKGROUND: The National Lung Screening Trial (NLST) showed that screening with low-dose computed tomography (CT) as compared with chest radiography reduced lung-cancer mortality. We examined the cost-effectiveness of screening with low-dose CT in the NLST. METHODS: We estimated mean life-years, quality-adjusted life-years (QALYs), costs per person, and incremental cost-effectiveness ratios (ICERs) for three alternative strategies: screening with low-dose CT, screening with radiography, and no screening. Estimations of life-years were based on the number of observed deaths that occurred during the trial and the projected survival of persons who were alive at the end of the trial. Quality adjustments were derived from a subgroup of participants who were selected to complete quality-of-life surveys. Costs were based on utilization rates and Medicare reimbursements. We also performed analyses of subgroups defined according to age, sex, smoking history, and risk of lung cancer and performed sensitivity analyses based on several assumptions. RESULTS: As compared with no screening, screening with low-dose CT cost an additional $1,631 per person (95% confidence interval [CI], 1,557 to 1,709) and provided an additional 0.0316 life-years per person (95% CI, 0.0154 to 0.0478) and 0.0201 QALYs per person (95% CI, 0.0088 to 0.0314). The corresponding ICERs were $52,000 per life-year gained (95% CI, 34,000 to 106,000) and $81,000 per QALY gained (95% CI, 52,000 to 186,000). However, the ICERs varied widely in subgroup and sensitivity analyses. CONCLUSIONS: We estimated that screening for lung cancer with low-dose CT would cost $81,000 per QALY gained, but we also determined that modest changes in our assumptions would greatly alter this figure. The determination of whether screening outside the trial will be cost-effective will depend on how screening is implemented. (Funded by the National Cancer Institute; NLST ClinicalTrials.gov number, NCT00047385.).","is_dataset_classified":null,"base_score":6.318968113746434,"endowment":6.318968113746434,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"25372087","pmcid":"PMC4335305","openalex_id":"https://openalex.org/W2103348420","authors":[],"funders":[{"funder_name":"NCI NIH HHS","grant_id":"P30 CA023108","title":null},{"funder_name":"NCI NIH HHS","grant_id":"U10 CA180794","title":null},{"funder_name":"NCATS NIH HHS","grant_id":"UL1 TR001086","title":null},{"funder_name":"NCATS NIH HHS","grant_id":"KL2 TR001088","title":null},{"funder_name":"NCI NIH HHS","grant_id":"U01 CA080098","title":null},{"funder_name":"NCI NIH HHS","grant_id":"U10 CA079778","title":null},{"funder_name":"NCI NIH HHS","grant_id":"U10 CA180820","title":null},{"funder_name":"NCI NIH HHS","grant_id":"UG1 CA189828","title":null}],"total_grants":8,"fwci":41.9367,"citation_percentile":0.99906817,"influential_citations":0,"citation_trend":[{"year":2012,"count":3},{"year":2013,"count":2},{"year":2014,"count":5},{"year":2015,"count":73},{"year":2016,"count":64},{"year":2017,"count":47},{"year":2018,"count":60},{"year":2019,"count":38},{"year":2020,"count":56},{"year":2021,"count":45},{"year":2022,"count":50},{"year":2023,"count":47},{"year":2024,"count":24},{"year":2025,"count":19},{"year":2026,"count":16}],"oa_status":"bronze","license":null,"oa_locations":[{"url":"https://www.nejm.org/doi/pdf/10.1056/NEJMoa1312547?articleTools=true","host_type":"journal"},{"url":"https://www.nejm.org/doi/pdf/10.1056/NEJMoa1312547?articleTools=true","host_type":"publisher"},{"url":"http://www.nejm.org/doi/pdf/10.1056/NEJMoa1312547","host_type":"publisher"},{"url":"https://doi.org/10.1056/nejmoa1312547","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/25372087","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4335305","host_type":"repository"}],"fields_of_study":["Lung Cancer Diagnosis and Treatment","Radiation Dose and Imaging","Radiomics and Machine Learning in Medical Imaging","Aged","Cost-Benefit Analysis","Early Detection of Cancer","Female","Health Care Costs","Humans","Life Expectancy","Lung","Lung Neoplasms","Male","Middle Aged","Quality-Adjusted Life Years","Radiography, Thoracic","Smoking","Surveys and Questionnaires","Tomography, X-Ray Computed","United States"],"mesh_terms":["Aged","Cost-Benefit Analysis","Female","Humans","Life Expectancy","Lung","Lung Neoplasms","Male","Middle Aged","Surveys and Questionnaires","Smoking","Radiography, Thoracic","Tomography, X-Ray Computed","United States","Health Care Costs","Quality-Adjusted Life Years","Early Detection of Cancer"],"keywords":["National Lung Screening Trial","Lung cancer screening","Medical physics","Medicine","Lung","Internal medicine"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"nct"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T14:58:08.087843Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}