Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI
Review

Innovative Technologies in Social

Maurycy Jabłoński Laura Kobaka K. Jurga Jakub Chołast Jakub Kacer Julia Kacer Wiktoria Łuniewska J. Niepokój Marta Modrzyk
· 0 citations · 36 references

TL;DR

Recommendations are made that LDCT screening high-risk populations to reduce lung cancer specific mortality by 16% to 24% and screening protocols should prioritize high-risk individuals‚ regardless of their age or smoking status.

Semantic Scholar
View source

Similar papers

Review Open access Aug 2026

Construction and Validation of a Risk Prediction Model for Cancer-Related Cognitive Impairment in Lung Cancer Patients.

The risk prediction model constructed in this study, based on TOUS, demonstrates satisfactory predictive ability superior to some existing models, serving as a valuable complementary tool for healthcare professionals in identifying high-risk groups, particularly in clinical settings emphasizing holistic symptom managem...

Meng-Yuan Qiao, Li Luo, Hui Zhang · 0 citations
Review Open access Sep 2026

Lung Cancer Screening in High-Risk Populations: Current Evidence, Implementation Challenges, and Future Directions

A structured narrative review of PubMed, Embase, and the Cochrane Library for studies published between January 2002 and March 2026 supplemented by review of current clinical guidelines from the USPSTF, NCCN, ACS, CHEST, and ERS established the mortality benefit of low-dose computed tomography screening.

Arihant Surana, Riya Bhattacharya · 0 citations
Open access Jul 2026

Real-World Evidence for Breast Cancer Risk Stratification: Insights from the P.I.N.K. Study

This study identified several personal characteristics that were more strongly linked to breast cancer occurrence, highlighting the value of integrating clinical and self-reported information to better understand individual risk and support more targeted prevention and screening efforts.

M. Franchini, F. Denoth, Stefania Pieroni et al. · 0 citations
Sep 2026

Predicting pancreatic cancer in high-risk individuals and in the general population: how long is the road yet?

It is emphasized that the future effectiveness of PDAC prevention lies in refined risk stratification through universal germline testing, the integration of polygenic and environmental data, and the provision of comprehensive psychosocial support to manage the emotional impact of surveillance.

D. Campa, C. Rizzato, A. Kataki et al. · 0 citations
Aug 2026

Cardiovascular disease in breast cancer patients receiving chemotherapy: epidemiology and risk factors

Evaluating the occurrence of new-onset CVD in women with breast cancer undergoing chemotherapy and identifying factors associated with increased risk of cardiovascular disease highlights the need for sustained cardiovascular surveillance in breast cancer survivors.

V. Dvorovy, L. Kováčová, M. Selvek et al. · 0 citations

Using big data for cancer prevention

This research demonstrates the feasibility of using big data to conduct case-control analyses to identify associations between possible risk factors and cancers and demonstrates the limitations of the traditional epidemiological approach by requiring less effort, time, and cost.

J. Jaddoo · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.