Impact of sex and age on adherence to guidelines in non-small cell lung cancer management

Paakkola, Nelly-Maria; Lindqvist, Jonatan; Jekunen, Antti; Sihvo, Eero; Johansson, Mikael; Andersén, Heidi

doi:10.1016/j.ctarc.2022.100675

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…Performance status (PS), as a subjective composite to evaluate the patient’s wellness, is a key factor reflecting the patient’s ability to carry on normal activities. Several previous studies have reported the role of PS as a prognostic signature impacting the survival rate in different age categories [ 38 – 41 ]. Regarding medical urgency associated with late diagnosis of advanced disease, we found that SVCS, as well as pleurisy syndrome, were all associated with poor survival in patients at the different stage categories of the disease.…”

Section: Discussionmentioning

confidence: 99%

Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort

Tafenzi,

Choulli,

Adjade

et al. 2023

BMC Cancer

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Background Nomogram is a graphic representation containing the expressed factor of the mathematical formula used to define a particular phenomenon. We aim to build and internally validate a nomogram to predict overall survival (OS) in patients diagnosed with lung cancer (LC). Methods We included 1200 LC patients from a single institution registry diagnosed from 2013 to 2021. The independent prognostic factors of LC patients were identified via cox proportional hazard regression analysis. Based on the results of multivariate cox analysis, we constructed the nomogram to predict the OS of LC patients. Results We finally included a total of 1104 LC patients. Age, medical urgency at diagnosis, performance status, radiotherapy, and surgery were identified as prognostic factors, and integrated to build the nomogram. The model performance in predicting prognosis was measured by receiver operating characteristic curve. Calibration plots of 6-, 12-, and 24- months OS showed optimal agreement between observations and model predictions. Conclusion We have developed and validated a unique predictive tool that can offer patients with LC an individual OS prognosis. This useful prognostic model could aid doctors in making decisions and planning therapeutic trials.

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Section: Discussionmentioning

confidence: 99%

Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort

Tafenzi,

Choulli,

Adjade

et al. 2023

BMC Cancer

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“…Information on cancer characteristics extracted were stage according to the 8th edition of Tumor, Node, Metastasis-staging [15], and tumor histology. Guideline adherence considers first-line treatment for the stage of the disease and patients PS [16,17].…”

Section: Methodsmentioning

confidence: 99%

Area-based disparities in non-small-cell lung cancer survival

Paakkola,

Jekunen,

Sihvo

et al. 2024

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Background: In the Nordic countries, universal healthcare access has been effective in reducing socioeconomic disparities in non-small-cell lung cancer (NSCLC) management. However, other factors, such as proximity to healthcare facilities, may still affect access to care. This study aimed at investigating the influence of residential area on NSCLC survival. Methods: This population-based study utilized hospital records to identify NSCLC patients who underwent their initial treatment at Vaasa Central Hospital between January 1, 2016, and December 31, 2020. Patients were categorized based on their postal codes into urban areas (≤50 km from the hospital) and rural areas (>50 km from the hospital). Survival rates between these two groups were compared using Cox regression analysis. Results: A total of 321 patients were included in the study. Patients residing in rural areas (n = 104) exhibited poorer 12-month survival rates compared to their urban counterparts (n = 217) (unadjusted Hazard Ratio [HR]: 1.38; 95% Confidence Interval [CI]: 1.01–1.89; p = 0.042). After adjusting for factors such as performance status, frailty, and stage at diagnosis in a multivariate Cox regression model, the adjusted HR increased to 1.47 (95% CI: 1.07–2.01; p = 0.017) for patients living in rural areas compared to those in urban areas. Interpretation: The study findings indicate that the distance to the hospital is associated with increased lung cancer mortality. This suggests that geographical proximity may play a crucial role in the disparities observed in NSCLC survival rates. Addressing these disparities should involve strategies aimed at improving healthcare accessibility, particularly for patients residing in rural areas, to enhance NSCLC outcomes and reduce mortality.

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Impact of sex and age on adherence to guidelines in non-small cell lung cancer management

Cited by 2 publications

References 39 publications

Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort

Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort

Area-based disparities in non-small-cell lung cancer survival

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