Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends

Author(s):  
Abeer Alzubaidi ◽  
Jaspreet Kaur ◽  
Mufti Mahmud ◽  
David J. Brown ◽  
Jun He ◽  
...  
2019 ◽  
Author(s):  
Victoria White ◽  
Rebecca J Bergin ◽  
Robert J Thomas ◽  
Kathryn Whitfield ◽  
David Weller

Abstract Background Most lung cancer is diagnosed at an advanced stage, resulting in poor survival. This study examined diagnostic pathways for patients with operable lung cancer to identify factors contributing to early diagnosis. Methods Surgically treated lung cancer patients (aged ≥40, within 6 months of diagnosis), approached via the population-based Cancer Registry, with their primary care physicians (PCPs) and specialists completed cross-sectional surveys assessing symptoms, diagnostic route (symptomatic or ‘investigation’ of other problem), tests, key event dates and treatment. Time intervals to diagnosis and treatment were determined, and quantile regression examined differences between the two diagnostic routes. Cox proportional hazard regression analyses examined associations between survival and diagnostic route adjusting for stage, sex and age. Results One hundred and ninety-two patients (36% response rate), 107 PCPs and 55 specialists participated. Fifty-eight per cent of patients had a symptomatic diagnostic route reporting an average of 1.6 symptoms, most commonly cough, fatigue or haemoptysis. Symptomatic patients had longer median primary care interval than ‘investigation’ patients (12 versus 9 days, P < 0.05) and were more likely to report their PCP first-ordered imaging tests. Secondary care interval was shorter for symptomatic (median = 43 days) than investigation (median = 62 days, P < 0.05) patients. However, 56% of all patients waited longer than national recommendations (6 weeks). While survival estimates were better for investigation than symptomatic patients, these differences were not significant. Conclusion Many operable lung cancer patients are diagnosed incidentally, highlighting the difficulty of symptom-based approaches to diagnosing early stage disease. Longer than recommended secondary care interval suggests the need for improvements in care pathways.


Lung ◽  
2013 ◽  
Vol 191 (5) ◽  
pp. 501-509 ◽  
Author(s):  
Myrthe P. P. van Herk-Sukel ◽  
Sumitra Shantakumar ◽  
Fernie J. A. Penning-van Beest ◽  
Pieter W. Kamphuisen ◽  
Christof J. Majoor ◽  
...  

2019 ◽  
Vol 42 (3) ◽  
pp. 298-303 ◽  
Author(s):  
Christopher T. Su ◽  
Vincent Chau ◽  
Balazs Halmos ◽  
Chirag D. Shah ◽  
Rasim A. Gucalp ◽  
...  

2007 ◽  
Vol 2 (8) ◽  
pp. 722-728 ◽  
Author(s):  
Timothy R. Wassenaar ◽  
Jens C. Eickhoff ◽  
Daniel R. Jarzemsky ◽  
Stevens S. Smith ◽  
Marilyn L. Larson ◽  
...  

2021 ◽  
Author(s):  
Kai Qian ◽  
Yi Deng ◽  
Yun Chen ◽  
Hao Peng ◽  
Li-Hong Jiang

Abstract Objective: This study sought to reveale the psychological characteristics of lung cancer patients at different time points of the COVID-19 epidemic. Methods: This cross-sectional study used data from two different regional medical centers. 128 pairs of lung cancer (LC) patients and non-lung cancer subjects (NLC) were selected through propensity score matching (PSM) analysis. For the longitudinal study, the anxiety and distress state before and during the COVID-19 pandemic were surveyed through a dedicated questionnaire. Results: A total of 135 LC patients and 165 healthy individuals were included in this cross-sectional study. After PSM analysis, 128 pairs of LC patients and NLC were matched and compared in this analysis. During the uptrend period of COVID-19 epidemic, there were significant differences in anxiety between LC patients and NLC (P=0.005). For LC patients, the proportions of severe distress differed significantly between the uptrend and the decline period (22.05% vs 11.90%, P=0.032). In two-way repeated ANOVA analysis, no significant main effect for group or group × condition interaction effect has been founded. The distress of LC patients is mainly manifested as worry. Logistic regression showed that gender (OR=41.48, 95% CI: 9.74-17.97), age (OR=0.20, 95% CI: 0.08-0.50), and education level (OR=4.82, 95% CI: 1.98-11.69) were correlated with “worry” and contributed significantly to the model. Conclusions: This study revealed that lung cancer patients had significant anxiety and distress during the uptrend period of the COVID-19 epidemic. The distress states of LC patients mainly manifested as worry, which was associated with age, gender, and education level.


2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e18614-e18614
Author(s):  
Christopher Su ◽  
Vincent Chau ◽  
Balazs Halmos ◽  
Chirag D Shah ◽  
Rasim A. Gucalp ◽  
...  

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