Causes of death following small cell lung cancer diagnosis: a population-based analysis

Wu, Xueqin; Li, Jingyi; Du, Wenjing

doi:10.1186/s12890-022-02053-4

Cited by 8 publications

(5 citation statements)

References 59 publications

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“…We have demonstrated that heart disease was the most common non-cancer COD in patients with GC, which is in line with the reports from other cancers [ 14 – 17 ]. It could be partly explained by the primacy of cardiovascular mortality in the United States [ 18 ].…”

Section: Discussionsupporting

confidence: 92%

Causes of Death Following Gastric Cancer Diagnosis: A Population-Based Analysis

Lou¹,

Hu²,

Lü³

et al. 2023

Med Sci Monit

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Conflict of interest: None declared Background:Causes of death (CODs) in patients with gastric cancer (GC) need to be studied. We examined the cancer-specific and non-cancer deaths among patients diagnosed with GC from 1975 to 2019. Material/Methods:We obtained medical records from the Surveillance, Epidemiology, and End Results (SEER) database. We used SEER*Stat software to calculate standardized mortality ratios (SMRs) for specific CODs and performed a competing risk analysis to evaluate the cumulative mortality of specific CODs. Results:The final study cohort included 42 813 patients with GC, with a mean age at diagnosis of 67.7 years. As the end of 2021, a total of 36 924 (86.2%) patients died. Of these deaths, 24 625 (66.7%) were from GC, 6513 (17.6%) were from other types of cancers, and 5786 (15.7%) were from non-cancer causes. The most prevalent noncancer CODs were heart diseases (2104; 5.7%), cerebrovascular diseases (501; 1.4%), and pneumonia/influenza (335; 0.9%). Among patients who survived over 5 years, non-cancer causes surpassed GC as the main CODs. Patients with GC had a higher risk of dying from many non-cancer causes than expected in the general population, particularly from suicide (SMR, 3.03; 95% CI, 2.35-3.85) and septicemia (SMR, 2.93; 95% CI, 2.51-3.4).The competing risk analysis showed that the cumulative mortality of GC gradually declined with a more recent diagnosis. Conclusions:Although GC was the leading COD among patients with GC, non-cancer CODs accounted for a substantial number of deaths. These findings provide useful guidance on potential death risks among patients with GC.

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Section: Discussionsupporting

confidence: 92%

Causes of Death Following Gastric Cancer Diagnosis: A Population-Based Analysis

Lou¹,

Hu²,

Lü³

et al. 2023

Med Sci Monit

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“…Cancer and heart disease are two main causes of death worldwide 9 . Previous study assessing causes of death in cancer patients pointed to an increased risk of cardiovascular disease in cancer patients 10 , 11 .…”

Section: Discussionmentioning

confidence: 99%

“…In our analysis, the proportion of non cancer death have changed over time, cardiovascular death (CVD) has consistently dominated. Cancer and heart disease are two main causes of death worldwide 9 . Previous study assessing causes of death in cancer patients pointed to an increased risk of cardiovascular disease in cancer patients 10,11 .…”

Section: Discussionmentioning

confidence: 99%

Non cancer causes of death after gallbladder cancer diagnosis: a population-based analysis

Xia,

Lu,

Huo

et al. 2023

Sci Rep

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Mortality from non cancer causes in patients with gallbladder cancer (GBC) still unclear. This study evaluated the causes and risk factors of non cancer death during different follow-up periods after GBC diagnosis. Non cancer causes of death for GBC patients diagnosed between 2000 and 2017 in Surveillance, Epidemiology and End Results database were analyzed and standardized mortality rates (SMR) for each non cancer death were calculated. Predictors for non cancer death were identified through multivariate competing risk analysis. A total 11,927 GBC patients were identified for further analysis, 9393 died during follow up. The largest proportion of non cancer deaths occurred > 3 years after diagnosis (39.4%). Most common non cancer cause were cardiovascular disease (43.3%), followed by other cause of death (34.4%) and infectious diseases (8.6%). Compared with US general population, GBC patients has higher risk of death from disease of heart (SMR, 1.58; 95%CI, 1.41–1.75), septicemia (SMR,3.21; 95%CI, 2.27–4.40), diabetes mellitus (SMR,1.97; 95%CI, 1.43–2.63), alone with other causes. Non cancer causes accounted for a significant proportion of deaths during the follow-up period after GBC diagnosis. The risk of non cancer death is higher in GBC patients than in the general population. Our study provides comprehensive assessment of death from non cancer cause in GBC patients, which has important implications for health management in GBC patients.

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“…Site codes C34.0-C34.3 and histological codes: 8002/3, 8041/3, 8042/3, 8043/3, 8044/3, and 8045/3, derived from the World Health Organization International Classification of Diseases of Oncology, Third Revision (ICD-O-3), served as the criteria for diagnosing SCLC and extracting relevant data. [17] Due to the absence of recorded metastasis-related information, including bone, brain, liver, and lung data, in the SEER database prior to 2010, this study primarily focused on gathering data from SCLC patients diagnosed between 2010 and 2015. Additionally, it is worth noting that there is no universally agreed-upon definition of “elderly.” However, taking into account insights from previous literature, this study establishes that “elderly SCLC patients” specifically refers to individuals who are aged ≥ 65 years.…”

Section: Methodsmentioning

confidence: 99%

A practical nomogram for predicting early death in elderly small cell lung cancer patients: A SEER-based study

Chen,

Liu,

Tou

et al. 2024

Medicine

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This study aimed to identify risk factors for early death in elderly small cell lung cancer (SCLC) patients and develop nomogram prediction models for all-cause and cancer-specific early death to improve patient management. Data of elderly patients diagnosed with SCLC were extracted from the SEER database, then randomly divided into training and validation cohorts. Univariate and stepwise multivariable Logistic regression analyses were performed on the training cohort to identify independent risk factors for early death in these patients. Nomograms were developed based on these factors to predict the overall risk of early death. The efficacy of the nomograms was validated using various methods, including ROC analysis, calibration curves, DCA, NRI, and IDI. Among 2077 elderly SCLC patients, 773 died within 3 months, 713 due to cancer-specific causes. Older age, higher AJCC staging, brain metastases, and lack of surgery, chemotherapy, or radiotherapy increase the risk of all-cause early death, while higher AJCC staging, brain metastases, lung metastases, and lack of surgery, chemotherapy, or radiotherapy increase the risk of cancer-specific death (P < .05). These identified factors were used to construct 2 nomograms to predict the risk of early death. The ROC indicated that the nomograms performed well in predicting both all-cause early death (AUC = 0.823 in the training cohort and AUC = 0.843 in the validation cohort) and cancer-specific early death (AUC = 0.814 in the training cohort and AUC = 0.841 in the validation cohort). The results of calibration curves, DCAs, NRI and IDI also showed that the 2 sets of nomograms had good predictive power and clinical utility and were superior to the commonly used TNM staging system. The nomogram prediction models constructed in this study can effectively assist clinicians in predicting the risk of early death in elderly SCLC patients, and can also help physicians screen patients at higher risk and develop personalized treatment plans for them.

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Causes of death following small cell lung cancer diagnosis: a population-based analysis

Cited by 8 publications

References 59 publications

Causes of Death Following Gastric Cancer Diagnosis: A Population-Based Analysis

Causes of Death Following Gastric Cancer Diagnosis: A Population-Based Analysis

Non cancer causes of death after gallbladder cancer diagnosis: a population-based analysis

A practical nomogram for predicting early death in elderly small cell lung cancer patients: A SEER-based study

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