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Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study

https://doi.org/10.1371/journal.pmed.1002277
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Screening by Chest Radiograph and Lung Cancer Mortality
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Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening
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Overdiagnosis in Low-Dose Computed Tomography Screening for Lung Cancer
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Multiple Imputation for Nonresponse in Surveys
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Dichotomizing continuous predictors in multiple regression: a bad idea
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Imputation of systematically missing predictors in an individual participant data meta‐analysis: a generalized approach using MICE
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Sample size considerations for the external validation of a multivariable prognostic model: a resampling study
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Clinical Prediction Models
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Clinical Prediction Models
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The change in excess risk of lung cancer attributable to smoking following smoking cessation: an examination of different analytic approaches using CPS-I data
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Analysis of lung cancer incidence in the nurses’ health and the health professionals’ follow-up studies using a multistage carcinogenesis model
inferredcites →https://doi.org/10.1016/j.amepre.2015.07.027openalex-snapshot
Evaluation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening
inferredcites →https://doi.org/10.1016/j.jclinepi.2004.06.017openalex-snapshot
Substantial effective sample sizes were required for external validation studies of predictive logistic regression models
inferredcites →https://doi.org/10.1016/j.jclinepi.2004.07.008openalex-snapshot
Equally valid models gave divergent predictions for mortality in acute myocardial infarction patients in a comparison of logical regression models
inferredcites →https://doi.org/10.1016/j.jclinepi.2004.11.029openalex-snapshot
Bias arising from missing data in predictive models
inferredcites →https://doi.org/10.1016/j.jclinepi.2006.01.015openalex-snapshot
Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: A clinical example
inferredcites →https://doi.org/10.1016/j.jclinepi.2014.06.018openalex-snapshot
A new framework to enhance the interpretation of external validation studies of clinical prediction models
inferredcites →https://doi.org/10.1016/j.jclinepi.2015.12.005openalex-snapshot
A calibration hierarchy for risk models was defined: from utopia to empirical data
inferredcites →https://doi.org/10.1016/j.jtcvs.2012.05.060openalex-snapshot
The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups
inferredcites →https://doi.org/10.1016/j.jtho.2016.11.731openalex-snapshot
P1.03-059 Organized High Risk Lung Cancer Screening in Ontario, Canada: A Multi-Centre Prospective Evaluation
inferredcites →https://doi.org/10.1016/j.urology.2010.06.019openalex-snapshot
Everything You Always Wanted to Know About Evaluating Prediction Models (But Were Too Afraid to Ask)
inferredcites →https://doi.org/10.1016/s0197-2456(00)00098-2openalex-snapshot
Design of the prostate, lung, colorectal and ovarian (PLCO) cancer screening trial
inferredcites →https://doi.org/10.1016/s1470-2045(13)70293-6openalex-snapshot
CT screening for lung cancer: countdown to implementation
inferredcites →https://doi.org/10.1016/s1470-2045(14)70389-4openalex-snapshot
Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening
inferredcites →https://doi.org/10.1016/s1470-2045(15)00621-xopenalex-snapshot
Lung cancer incidence and mortality in National Lung Screening Trial participants who underwent low-dose CT prevalence screening: a retrospective cohort analysis of a randomised, multicentre, diagnostic screening trial
inferredcites →https://doi.org/10.1016/s2213-2600(16)30200-4openalex-snapshot
Lung cancer screening: latest developments and unanswered questions
inferredcites →https://doi.org/10.1038/sj.bjc.6604158openalex-snapshot
The LLP risk model: an individual risk prediction model for lung cancer
inferredcites →https://doi.org/10.1038/sj.bjc.6605759openalex-snapshot
Comparison of discriminatory power and accuracy of three lung cancer risk models
inferredcites →https://doi.org/10.1056/nejmoa1102873openalex-snapshot
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
inferredcites →https://doi.org/10.1056/nejmoa1211776openalex-snapshot
Selection Criteria for Lung-Cancer Screening
inferredcites →https://doi.org/10.1056/nejmoa1214726openalex-snapshot
Probability of Cancer in Pulmonary Nodules Detected on First Screening CT
inferredcites →https://doi.org/10.1056/nejmoa1301851openalex-snapshot
Targeting of Low-Dose CT Screening According to the Risk of Lung-Cancer Death
inferredcites →https://doi.org/10.1056/nejmsa1211127openalex-snapshot
50-Year Trends in Smoking-Related Mortality in the United States
inferredcites →https://doi.org/10.1093/aje/kwq223openalex-snapshot
External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients
inferredcites →https://doi.org/10.1093/eurheartj/ehu207openalex-snapshot
Towards better clinical prediction models: seven steps for development and an ABCD for validation
inferredcites →https://doi.org/10.1093/jnci/95.6.470openalex-snapshot
Variations in Lung Cancer Risk Among Smokers
inferredcites →https://doi.org/10.1093/jnci/djk153openalex-snapshot
A Risk Model for Prediction of Lung Cancer
inferredcites →https://doi.org/10.1093/jnci/djq434openalex-snapshot
Baseline Characteristics of Participants in the Randomized National Lung Screening Trial
inferredcites →https://doi.org/10.1097/jto.0000000000000593openalex-snapshot
Should Never-Smokers at Increased Risk for Lung Cancer Be Screened?
inferredcites →https://doi.org/10.1097/jto.0b013e31829fd3d5openalex-snapshot
Screening High-Risk Populations for Lung Cancer: Guideline Recommendations
inferredcites →https://doi.org/10.1111/j.1539-6924.2011.01681.xopenalex-snapshot
Chapter 8: The FHCRC Lung Cancer Model
inferredcites →https://doi.org/10.1136/bmj.b604openalex-snapshot
Prognosis and prognostic research: Developing a prognostic model
inferredcites →https://doi.org/10.1136/bmj.b605openalex-snapshot
Prognosis and prognostic research: validating a prognostic model
inferredcites →https://doi.org/10.1136/bmj.e3186openalex-snapshot
Comparing risk prediction models
inferredcites →https://doi.org/10.1136/bmj.e3318openalex-snapshot
Comparisons of established risk prediction models for cardiovascular disease: systematic review
inferredcites →https://doi.org/10.1136/jech-2014-204079openalex-snapshot
Overdiagnosis in lung cancer screening: why modelling is essential
inferredcites →https://doi.org/10.1136/pgmj.2008.077107openalex-snapshot
A gene-based risk score for lung cancer susceptibility in smokers and ex-smokers
inferredcites →https://doi.org/10.1136/thoraxjnl-2012-202348openalex-snapshot
Using socio-demographic and early clinical features in general practice to identify people with lung cancer earlier
inferredcites →https://doi.org/10.1148/radiol.10091808openalex-snapshot
The National Lung Screening Trial: Overview and Study Design
inferredcites →https://doi.org/10.1158/1055-9965.epi-04-0756openalex-snapshot
Multistage Carcinogenesis and Lung Cancer Mortality in Three Cohorts
inferredcites →https://doi.org/10.1158/1055-9965.epi-14-0462openalex-snapshot
The Cytokinesis-Blocked Micronucleus Assay as a Strong Predictor of Lung Cancer: Extension of a Lung Cancer Risk Prediction Model
inferredcites →https://doi.org/10.1158/1940-6207.capr-08-0060openalex-snapshot
An Expanded Risk Prediction Model for Lung Cancer
inferredcites →https://doi.org/10.1158/1940-6207.capr-08-0082openalex-snapshot
Development and Validation of a Lung Cancer Risk Prediction Model for African-Americans
inferredcites →https://doi.org/10.1158/1940-6207.capr-11-0026openalex-snapshot
Lung Cancer Risk Prediction to Select Smokers for Screening CT—a Model Based on the Italian COSMOS Trial
inferredcites →https://doi.org/10.1158/1940-6207.capr-11-0237openalex-snapshot
A Risk Model for Lung Cancer Incidence
inferredcites →https://doi.org/10.1158/1940-6207.capr-13-0206openalex-snapshot
The UK Lung Screen (UKLS): Demographic Profile of First 88,897 Approaches Provides Recommendations for Population Screening
inferredcites →https://doi.org/10.1158/1940-6207.capr-14-0424openalex-snapshot
Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort
inferredcites →https://doi.org/10.1159/000473868openalex-snapshot
Heart Failure with Preserved and Reduced Ejection Fraction in Hemodialysis Patients: Prevalence, Disease Prediction and Prognosis
inferredcites →https://doi.org/10.1159/000479810openalex-snapshot
EU Policy on Lung Cancer CT Screening 2017
inferredcites →https://doi.org/10.1177/0272989x06295361openalex-snapshot
Decision Curve Analysis: A Novel Method for Evaluating Prediction Models
inferredcites →https://doi.org/10.1186/1471-2350-13-118openalex-snapshot
Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model
inferredcites →https://doi.org/10.1186/1472-6947-8-53openalex-snapshot
Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers
inferredcites →https://doi.org/10.1371/journal.pmed.1001764openalex-snapshot
Evaluation of the Lung Cancer Risks at Which to Screen Ever- and Never-Smokers: Screening Rules Applied to the PLCO and NLST Cohorts
inferredcites →https://doi.org/10.1371/journal.pone.0054823openalex-snapshot
Individualized Risk Prediction Model for Lung Cancer in Korean Men
inferredcites →https://doi.org/10.18637/jss.v045.i03openalex-snapshot
mice: Multivariate Imputation by Chained Equations inR
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3399/bjgp11x606627openalex-snapshot
Identifying patients with suspected lung cancer in primary care: derivation and validation of an algorithm
inferredcites →https://doi.org/10.3399/bjgp12x616355openalex-snapshot
Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm
inferredcites →https://doi.org/10.7326/0003-4819-157-4-201208210-00004openalex-snapshot
Predictive Accuracy of the Liverpool Lung Project Risk Model for Stratifying Patients for Computed Tomography Screening for Lung Cancer
inferredcites →https://doi.org/10.7326/0003-4819-158-11-201306040-00008openalex-snapshot
Influence of Study Features and Methods on Overdiagnosis Estimates in Breast and Prostate Cancer Screening
inferredcites →https://doi.org/10.7326/0003-4819-159-6-201309170-00690openalex-snapshot
Screening for Lung Cancer With Low-Dose Computed Tomography: A Systematic Review to Update the U.S. Preventive Services Task Force Recommendation
inferredcites →https://doi.org/10.7326/m13-2316openalex-snapshot
Benefits and Harms of Computed Tomography Lung Cancer Screening Strategies: A Comparative Modeling Study for the U.S. Preventive Services Task Force
inferredcites →https://doi.org/10.7326/m13-2771openalex-snapshot
Screening for Lung Cancer: U.S. Preventive Services Task Force Recommendation Statement
inferredcites →https://doi.org/10.7326/m14-0698openalex-snapshot
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.jpsychires.2018.06.006openalex-snapshot
Development and validation of a clinical prediction tool to estimate the individual risk of depressive relapse or recurrence in individuals with recurrent depression
inferred← citeshttps://doi.org/10.1016/j.jtcvs.2019.11.141openalex-snapshot
The future of lung cancer screening with low-dose computed tomography
inferred← citeshttps://doi.org/10.1016/j.jtho.2017.04.021openalex-snapshot
The Cost-Effectiveness of High-Risk Lung Cancer Screening and Drivers of Program Efficiency
inferred← citeshttps://doi.org/10.1016/j.jtho.2018.08.195openalex-snapshot
MS28.04 Combination with Targeted Therapies
inferred← citeshttps://doi.org/10.1016/j.jtho.2018.11.023openalex-snapshot
Biomarkers in Lung Cancer Screening: Achievements, Promises, and Challenges
inferred← citeshttps://doi.org/10.1016/j.jtho.2020.08.006openalex-snapshot
Risk Prediction Model Versus United States Preventive Services Task Force Lung Cancer Screening Eligibility Criteria: Reducing Race Disparities
inferred← citeshttps://doi.org/10.1016/j.jtho.2021.02.003openalex-snapshot
Lung Cancer Screening With Low Dose Computed Tomography in Patients With and Without Prior History of Cancer in the National Lung Screening Trial
inferred← citeshttps://doi.org/10.1016/j.jtho.2021.04.020openalex-snapshot
Visceral Obesity Promotes Lung Cancer Progression—Toward Resolution of the Obesity Paradox in Lung Cancer
inferred← citeshttps://doi.org/10.1016/j.jtho.2023.11.002openalex-snapshot
Lung Cancer Risk Prediction Models for Asian Ever-Smokers
inferred← citeshttps://doi.org/10.1016/j.jtho.2023.12.002openalex-snapshot
Considerations for Enhancing Lung Cancer Risk Prediction and Screening in Asian Populations
inferred← citeshttps://doi.org/10.1016/j.jtho.2025.01.003openalex-snapshot
Impact of Comorbidities on the Mortality Benefits of Lung Cancer Screening: A Post-Hoc Analysis of the PLCO and NLST Trials
inferred← citeshttps://doi.org/10.1016/j.jtocrr.2026.101002openalex-snapshot
Brief Report: Impact of PLCOm2012 Ethnicity Model Variations on Eligibility for the Alberta Lung Cancer Screening Program
inferred← citeshttps://doi.org/10.1016/j.lanwpc.2024.101241openalex-snapshot
Targeted lung cancer screening in the age of immunotherapies and targeted therapies – an economic evaluation for Australia
inferred← citeshttps://doi.org/10.1016/j.lungcan.2018.12.024openalex-snapshot
Chest radiography surveillance for lung cancer: Results from a National Health Insurance database in South Korea
inferred← citeshttps://doi.org/10.1016/j.lungcan.2019.05.028openalex-snapshot
CT screening for lung cancer: Are we ready to implement in Europe?
inferred← citeshttps://doi.org/10.1016/j.lungcan.2020.07.007openalex-snapshot
Risk-Based lung cancer screening: A systematic review
inferred← citeshttps://doi.org/10.1016/j.lungcan.2020.07.027openalex-snapshot
Baseline Results of the West London lung cancer screening pilot study – Impact of mobile scanners and dual risk model utilisation
inferred← citeshttps://doi.org/10.1016/j.lungcan.2021.04.005openalex-snapshot
Selection of individuals for lung cancer screening based on risk prediction model performance and economic factors – The Ontario experience
inferred← citeshttps://doi.org/10.1016/j.lungcan.2022.05.003openalex-snapshot
Health utilities for participants in a population-based sample who meet eligibility criteria for lung cancer screening
inferred← citeshttps://doi.org/10.1016/j.lungcan.2022.05.005openalex-snapshot
Systematic review of the cost-effectiveness of screening for lung cancer with low dose computed tomography
inferred← citeshttps://doi.org/10.1016/j.lungcan.2022.10.011openalex-snapshot
Comparison of discrimination performance of 11 lung cancer risk models for predicting lung cancer in a prospective cohort of screening-age adults from Germany followed over 17 years
inferred← citeshttps://doi.org/10.1016/j.lungcan.2026.109509openalex-snapshot
Recruitment strategies for lung cancer screening; a randomised trial in the 4-IN-THE-LUNG-RUN study
inferred← citeshttps://doi.org/10.1016/j.pneumo.2016.10.002openalex-snapshot
Le dépistage du cancer du poumon
inferred← citeshttps://doi.org/10.1016/j.pulmoe.2024.02.010openalex-snapshot
Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study
inferred← citeshttps://doi.org/10.1016/j.rmed.2021.106610openalex-snapshot
Stratification and management of patients ineligible for lung cancer screening
inferred← citeshttps://doi.org/10.1016/j.rmed.2025.108373openalex-snapshot
Female sex and lung cancer risk in two large screening cohorts
inferred← citeshttps://doi.org/10.1016/j.thorsurg.2023.03.002openalex-snapshot
Clinical Adjuncts to Lung Cancer Screening
inferred← citeshttps://doi.org/10.1016/j.thorsurg.2023.04.002openalex-snapshot
Update on Lung Cancer Screening Guideline
inferred← citeshttps://doi.org/10.1016/j.tranon.2026.102771openalex-snapshot
Clinical usefulness of polygenic risk scores in risk prediction models for lung cancer screening and lung nodule management
inferred← citeshttps://doi.org/10.1016/j.xinn.2022.100259openalex-snapshot
Circulating cell-free DNA for cancer early detection
inferred← citeshttps://doi.org/10.1016/s0140-6736(22)01694-4openalex-snapshot
Lung cancer screening
inferred← citeshttps://doi.org/10.1016/s1470-2045(17)30597-1openalex-snapshot
Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study
inferred← citeshttps://doi.org/10.1016/s1470-2045(17)30730-1openalex-snapshot
Lung cancer screening and its continuous risk assessment
inferred← citeshttps://doi.org/10.1016/s1470-2045(17)30861-6openalex-snapshot
European position statement on lung cancer screening
inferred← citeshttps://doi.org/10.1016/s1470-2045(18)30117-7openalex-snapshot
Low-dose CT for lung cancer screening
inferred← citeshttps://doi.org/10.1016/s1470-2045(18)30122-0openalex-snapshot
Low-dose CT for lung cancer screening – Authors' reply
inferred← citeshttps://doi.org/10.1016/s1470-2045(21)00590-8openalex-snapshot
USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study
inferred← citeshttps://doi.org/10.1016/s1470-2045(21)00636-7openalex-snapshot
Risk-based lung cancer screening eligibility criteria: towards implementation
inferred← citeshttps://doi.org/10.1016/s1470-2045(23)00104-3openalex-snapshot
Defining the road map to a UK national lung cancer screening programme
inferred← citeshttps://doi.org/10.1016/s1470-2045(25)00490-5openalex-snapshot
Effectiveness of NELSON versus PLCOm2012 lung cancer screening eligibility criteria in Germany (HANSE): a prospective cohort study
inferred← citeshttps://doi.org/10.1016/s1877-1203(18)30013-2openalex-snapshot
Place actuelle du dépistage du cancer du poumon en France et dans le monde
inferred← citeshttps://doi.org/10.1016/s1877-1203(18)30054-5openalex-snapshot
Cancer pulmonaire : dépistage, biomarqueurs et immunité
inferred← citeshttps://doi.org/10.1016/s1877-1203(20)30082-3openalex-snapshot
Le dépistage du cancer du poumon
inferred← citeshttps://doi.org/10.1016/s1877-1203(21)00092-6openalex-snapshot
Le dépistage du cancer du poumon
inferred← citeshttps://doi.org/10.1016/s2213-2600(23)00050-4openalex-snapshot
Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models
inferred← citeshttps://doi.org/10.1038/s41416-021-01278-0openalex-snapshot
Comparative performance of lung cancer risk models to define lung screening eligibility in the United Kingdom
inferred← citeshttps://doi.org/10.1038/s41416-023-02467-9openalex-snapshot
Personalised lung cancer risk stratification and lung cancer screening: do general practice electronic medical records have a role?
inferred← citeshttps://doi.org/10.1038/s41571-020-00432-6openalex-snapshot
Lung cancer LDCT screening and mortality reduction — evidence, pitfalls and future perspectives
inferred← citeshttps://doi.org/10.1038/s41598-020-67378-8openalex-snapshot
Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening
inferred← citeshttps://doi.org/10.1038/s41598-024-83875-6openalex-snapshot
Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1038/s41698-024-00785-6openalex-snapshot
Pitfalls in interpreting calibration in comparative evaluations of risk models for precision lung cancer screening
inferred← citeshttps://doi.org/10.1038/s43856-022-00165-wopenalex-snapshot
Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction
inferred← citeshttps://doi.org/10.1053/j.semtcvs.2022.06.018openalex-snapshot
Screening Criteria Evaluation for Expansion in Pulmonary Neoplasias (SCREEN)
inferred← citeshttps://doi.org/10.1055/a-1290-7817openalex-snapshot
Lung Cancer Screening by Low-Dose Computed Tomography: Part 2 – Key Elements for Programmatic Implementation of Lung Cancer Screening
inferred← citeshttps://doi.org/10.1055/a-1290-7926openalex-snapshot
Lung Cancer Screening by Low-Dose Computed Tomography – Part 1: Expected Benefits, Possible Harms, and Criteria for Eligibility and Population Targeting
inferred← citeshttps://doi.org/10.1055/a-2701-9312openalex-snapshot
Updates in Lung Cancer Screening: A Decade of Evidence
inferred← citeshttps://doi.org/10.1056/nejmoa1911793openalex-snapshot
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
inferred← citeshttps://doi.org/10.1080/03036758.2025.2458037openalex-snapshot
Te Oranga Pūkahukahu research programme: intentional steps towards a national equity‐focused lung cancer screening programme in Aotearoa New Zealand
inferred← citeshttps://doi.org/10.1080/14796694.2025.2531428openalex-snapshot
An umbrella review of systematic evidence on the Low Dose Computed Tomography (LDCT) for lung cancer screening
inferred← citeshttps://doi.org/10.1080/17476348.2019.1638766openalex-snapshot
The potential impact of chronic obstructive pulmonary disease in lung cancer screening: implications for the screening clinic
inferred← citeshttps://doi.org/10.1093/aje/kwz259openalex-snapshot
Risk Prediction Models for Head and Neck Cancer in the US Population From the INHANCE Consortium
inferred← citeshttps://doi.org/10.1093/ajrccm/aamag094openalex-snapshot
Trans-omics gene-smoking interactions: a new framework for stratifying smoking-related lung cancer risk
inferred← citeshttps://doi.org/10.1093/jnci/djag018openalex-snapshot
Performance of smoking duration–based lung cancer screening eligibility criteria: a comparative modeling study
inferred← citeshttps://doi.org/10.1093/jnci/djz164openalex-snapshot
A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies
inferred← citeshttps://doi.org/10.1093/jncics/pkac033openalex-snapshot
Racial and Ethnic Disparities in Lung Cancer Screening by the 2021 USPSTF Guidelines Versus Risk-Based Criteria: The Multiethnic Cohort Study
inferred← citeshttps://doi.org/10.1093/ntr/ntaa192openalex-snapshot
Assessing Different Approaches to Leveraging Historical Smoking Exposure Data to Better Select Lung Cancer Screening Candidates: A Retrospective Validation Study
inferred← citeshttps://doi.org/10.1093/ntr/ntaf010openalex-snapshot
Impact of Low-Dose Computed Tomography Findings on Cigarette Smoking Cessation Among High-Risk Adults Participating in Lung Cancer Screening
inferred← citeshttps://doi.org/10.1093/pcmedi/pbz002openalex-snapshot
Implementation planning for lung cancer screening in China
inferred← citeshttps://doi.org/10.1097/md.0000000000016375openalex-snapshot
External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men
inferred← citeshttps://doi.org/10.1097/ms9.0000000000005017openalex-snapshot
Artificial intelligence in lung cancer: a bibliometric analysis of emerging trends and research hotspots
inferred← citeshttps://doi.org/10.1101/2022.06.04.22275868openalex-snapshot
Predicting the future risk of lung cancer: development and validation of QCancer2 (10-year risk) lung model and evaluating the model performance of nine prediction models
inferred← citeshttps://doi.org/10.1101/2023.01.27.23284974openalex-snapshot
Assessing eligibility for lung cancer screening: Parsimonious multi-country ensemble machine learning models for lung cancer prediction
inferred← citeshttps://doi.org/10.1111/1759-7714.14213openalex-snapshot
Lung cancer risk following previous abnormal chest radiographs: A 27‐year follow‐up study of a Chinese lung screening cohort
inferred← citeshttps://doi.org/10.1111/bjd.19706openalex-snapshot
An independent external validation of melanoma risk prediction models using the Australian Melanoma Family Study
inferred← citeshttps://doi.org/10.1136/bmjonc-2024-000663openalex-snapshot
Patina of precision: risk models for lung cancer screening eligibility
inferred← citeshttps://doi.org/10.1136/bmjresp-2019-000455openalex-snapshot
LDCT lung cancer screening in populations at different risk for lung cancer
inferred← citeshttps://doi.org/10.1136/bmjresp-2019-000512openalex-snapshot
‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial
inferred← citeshttps://doi.org/10.1136/bmjresp-2021-001030openalex-snapshot
Immediate smoking cessation support versus usual care in smokers attending a targeted lung health check: the QuLIT trial
inferred← citeshttps://doi.org/10.1136/oemed-2025-110249openalex-snapshot
Lung cancer risk prediction models and asbestos exposure: a validation study on the Western Australia Asbestos Review Program
inferred← citeshttps://doi.org/10.1136/thorax-2022-219778openalex-snapshot
Lung cancer screening in advanced chronic obstructive pulmonary disease: helpful or harmful?
inferred← citeshttps://doi.org/10.1136/thorax-2024-222098openalex-snapshot
Future risk projection to engage �near-miss� individuals in lung cancer screening eligibility: an analysis of ILST data
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2017-211149openalex-snapshot
Clinically detected non-aggressive lung cancers: implications for overdiagnosis and overtreatment in lung cancer screening
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2018-212457openalex-snapshot
The effect of radiographic emphysema in assessing lung cancer risk
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2019-213156openalex-snapshot
Lung cancer screening: enhancing risk stratification and minimising harms by incorporating information from screening results
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2020-215156openalex-snapshot
Targeted screening for lung cancer is here but who do we target and how?
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2020-215158openalex-snapshot
Liverpool Lung Project lung cancer risk stratification model: calibration and prospective validation
inferred← citeshttps://doi.org/10.1136/thoraxjnl-2021-217142openalex-snapshot
Selection of eligible participants for screening for lung cancer using primary care data
inferred← citeshttps://doi.org/10.1145/3437378.3437381openalex-snapshot
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods
inferred← citeshttps://doi.org/10.1148/radiol.231793openalex-snapshot
Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non–Small Cell Lung Cancer
inferred← citeshttps://doi.org/10.1155/2022/7793533openalex-snapshot
Development and Validation of the Random Forest Model via Combining CT-PET Image Features and Demographic Data for Distant Metastases among Lung Cancer Patients
inferred← citeshttps://doi.org/10.1158/1055-9965.epi-18-0018openalex-snapshot
A Comparison of Direct and Indirect Analytical Approaches to Measuring Total Nicotine Equivalents in Urine
inferred← citeshttps://doi.org/10.1158/1055-9965.epi-18-0400openalex-snapshot
Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers
inferred← citeshttps://doi.org/10.1158/1055-9965.epi-22-0281openalex-snapshot
Recalibrating Risk Prediction Models by Synthesizing Data Sources: Adapting the Lung Cancer PLCO Model for Taiwan
inferred← citeshttps://doi.org/10.1158/1055-9965.epi-25-0617openalex-snapshot
Antiviral Treatment Reduces Risk of Development of Lung Cancer and Non–Hodgkin Lymphoma in Patients with Chronic Hepatitis C
inferred← citeshttps://doi.org/10.1158/1078-0432.ccr-16-3187openalex-snapshot
The Airway Transcriptome as a Biomarker for Early Lung Cancer Detection
inferred← citeshttps://doi.org/10.1158/1078-0432.ccr-18-1496openalex-snapshot
KIM-1 as a Blood-Based Marker for Early Detection of Kidney Cancer: A Prospective Nested Case–Control Study
inferred← citeshttps://doi.org/10.1159/000479810openalex-snapshot
EU Policy on Lung Cancer CT Screening 2017
inferred← citeshttps://doi.org/10.11606/issn.1679-9836.v98i1p60-72openalex-snapshot
Serum biomarkers for lung cancer screening
inferred← citeshttps://doi.org/10.1177/0272989x18806497openalex-snapshot
Modeling in Colorectal Cancer Screening: Assessing External and Predictive Validity of MISCAN-Colon Microsimulation Model Using NORCCAP Trial Results
inferred← citeshttps://doi.org/10.1177/0272989x19875966openalex-snapshot
Effects of Personalized Risk Information on Patients Referred for Lung Cancer Screening with Low-Dose CT
inferred← citeshttps://doi.org/10.1177/0272989x241249182openalex-snapshot
The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations
inferred← citeshttps://doi.org/10.1177/09691413251409075openalex-snapshot
Design and rationale of the ZORALCS study: An implementation study of lung cancer screening by low-dose computed tomography coupled to a smoking cessation randomized controlled trial in the Flemish region
inferred← citeshttps://doi.org/10.1183/13993003.00128-2023openalex-snapshot
Developing a pan-European technical standard for a comprehensive high-quality lung cancer computed tomography screening programme: an ERS technical standard
inferred← citeshttps://doi.org/10.1183/13993003.00506-2019openalex-snapshot
ESR/ERS statement paper on lung cancer screening
inferred← citeshttps://doi.org/10.1183/13993003.02682-2020openalex-snapshot
Validation of Lung EpiCheck, a novel methylation-based blood assay, for the detection of lung cancer in European and Chinese high-risk individuals
inferred← citeshttps://doi.org/10.1183/13993003.04367-2020openalex-snapshot
Biomarkers in lung cancer screening: the importance of study design
inferred← citeshttps://doi.org/10.1183/16000617.0249-2024openalex-snapshot
Structured narrative review on lung cancer screening: current evidence, clinical practice implications and implementation insights from a multidisciplinary task force and patient representatives
inferred← citeshttps://doi.org/10.1183/16000617.0288-2020openalex-snapshot
Contemporary issues in the implementation of lung cancer screening
inferred← citeshttps://doi.org/10.1183/20734735.0190-2023openalex-snapshot
Lung cancer screening: where do we stand?
inferred← citeshttps://doi.org/10.1183/23120541.00222-2018openalex-snapshot
Highlights of thoracic oncology from the 2018 ERS International Congress
inferred← citeshttps://doi.org/10.1186/s12885-024-13356-6openalex-snapshot
Benefits, harms, and cost-effectiveness of risk model-based and risk factor-based low-dose computed tomography screening strategies for lung cancer: a systematic review
inferred← citeshttps://doi.org/10.1186/s12890-018-0729-yopenalex-snapshot
Paraneoplastic syndrome as the presentation of limited stage small cell carcinoma
inferred← citeshttps://doi.org/10.1186/s12913-026-14255-1openalex-snapshot
Healthcare professionals’ perspectives on a population-based lung cancer screening programme in Flanders: a cross-sectional survey study
inferred← citeshttps://doi.org/10.1186/s12916-026-04891-zopenalex-snapshot
Smoking history, eligibility for lung cancer screening and risk of death by lung cancer or other causes -- a longitudinal, time-variable analysis of the EPIC-Heidelberg cohort
inferred← citeshttps://doi.org/10.1186/s12967-023-04798-wopenalex-snapshot
Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans
inferred← citeshttps://doi.org/10.1200/jco-25-02326openalex-snapshot
Development and Validation of a Blood Test Informed Risk Prediction Model for Lung Cancer—The Copenhagen Lung Cancer Risk Model (CPH-Lung)
inferred← citeshttps://doi.org/10.1200/jco.22.01345openalex-snapshot
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
inferred← citeshttps://doi.org/10.1259/bjr.20170401openalex-snapshot
Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening
inferred← citeshttps://doi.org/10.1259/bjr.20170460openalex-snapshot
Lung cancer screening—low dose CT for lung cancer screening: recent trial results and next steps
inferred← citeshttps://doi.org/10.1259/bjr.20220489openalex-snapshot
Important parameters for cost-effective implementation of lung cancer screening
inferred← citeshttps://doi.org/10.12688/f1000research.12433.1openalex-snapshot
Early Detection and Chemoprevention of Lung Cancer
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