The Clinical Characteristics and Treatments for Large Cell Carcinoma Patients Older than 65 Years Old: A Population-Based Study

Yao, Anjie; Liang, Long; Rao, Hanyu; Shen, Yilun; Wang, Changhui; Xie, Shuanshuan

doi:10.3390/cancers14215231

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…Basic information comprised age, sex, ethnicity, body mass index (BMI), and waist circumference (WC). Age was categorized according to the United Nations New Standard for the Classification of Human Ages: young adults ≤ 65 years and middle-aged and older adults > 65 years[ 19 ]. Minors < 18 years of age were not included in the study.…”

Section: Methodsmentioning

confidence: 99%

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

Xu,

Lin,

Han

et al. 2024

World J Gastroenterol

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BACKGROUND Colorectal cancer (CRC) is a serious threat worldwide. Although early screening is suggested to be the most effective method to prevent and control CRC, the current situation of early screening for CRC is still not optimistic. In China, the incidence of CRC in the Yangtze River Delta region is increasing dramatically, but few studies have been conducted. Therefore, it is necessary to develop a simple and efficient early screening model for CRC. AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC. METHODS Data of 64448 participants obtained from Ningbo Hospital, China between 2014 and 2017 were retrospectively analyzed. The cohort comprised 64448 individuals, of which, 530 were excluded due to missing or incorrect data. Of 63918, 7607 (11.9%) individuals were considered to be high risk for CRC, and 56311 (88.1%) were not. The participants were randomly allocated to a training set (44743) or validation set (19175). The discriminatory ability, predictive accuracy, and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic (ROC) curves and calibration curves and by decision curve analysis. Finally, the model was validated internally using a bootstrap resampling technique. RESULTS Seven variables, including demographic, lifestyle, and family history information, were examined. Multifactorial logistic regression analysis revealed that age [odds ratio (OR): 1.03, 95% confidence interval (CI): 1.02-1.03, P < 0.001], body mass index (BMI) (OR: 1.07, 95%CI: 1.06-1.08, P < 0.001), waist circumference (WC) (OR: 1.03, 95%CI: 1.02-1.03 P < 0.001), lifestyle (OR: 0.45, 95%CI: 0.42-0.48, P < 0.001), and family history (OR: 4.28, 95%CI: 4.04-4.54, P < 0.001) were the most significant predictors of high-risk CRC. Healthy lifestyle was a protective factor, whereas family history was the most significant risk factor. The area under the curve was 0.734 (95%CI: 0.723-0.745) for the final validation set ROC curve and 0.735 (95%CI: 0.728-0.742) for the training set ROC curve. The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population. CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age, BMI, WC, lifestyle, and family history exhibited high accuracy.

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Section: Methodsmentioning

confidence: 99%

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

Xu,

Lin,

Han

et al. 2024

World J Gastroenterol

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“…We retrieved data on PC patients with at least 18 years between 2010 and 2015 from the SEER database. The SEER database provides free access to cancer patient information from over a dozen registries in the United States collected for decades, including demographic information, tumor type, disease stage, treatment strategy, and survival prognosis 12 . We downloaded data from Incidence-SEER Research Plus Data from 18 Registries based on the November 2020 submission.…”

Section: Methodsmentioning

confidence: 99%

Value of thyroid cancer history in the prognosis of pancreatic cancer: a SEER population-based study

Wang

Chen

et al. 2023

Sci Rep

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Thyroid cancer patients have a good prognosis, and their long survival increases the likelihood of developing a second primary tumor. Meanwhile, pancreatic cancer (PC) has a poor prognosis and therapeutic efficacy. However, the association between prior thyroid cancer and the subsequent PC prognosis is unknown. Herein, we selected pathologically diagnosed PC patients older than 17 between 2010 and 2015 from the SEER database. We used propensity score matching (PSM) to reduce confounding factors between groups and matched each PC patient with a history of thyroid cancer with 10 PC patients without a history of thyroid cancer. Finally, we selected 103 PC patients with prior thyroid cancer and 1030 PC patients without prior thyroid cancer. Then, we analyzed the factors influencing the overall survival (OS) and the cancer-specific survival (CSS) of PC patients. The median overall survival of PC patients with and without a history of thyroid cancer was 12 and 9 months, respectively. The history of thyroid cancer in PC patients reduced the PC-specific mortality (p < 0.05). Prior thyroid cancer might be a favorable prognostic factor for PC-specific mortality in PC patients.

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“…The SEER database provides free access to cancer patient information from over a dozen registries in the United States collected for decades, including demographic information, tumor type, disease stage, treatment strategy, and survival prognosis 12…”

Section: Data Sourcesmentioning

confidence: 99%

Value of thyroid cancer history in the prognosis of pancreatic cancer: a SEER population-based study

Wang

Chen

et al. 2022

Preprint

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Thyroid cancer patients have a good prognosis, and their long survival increases the likelihood of developing a second primary tumor. Meanwhile, pancreatic cancer (PC) has a poor prognosis and therapeutic efficacy. However, the association between prior thyroid cancer and the subsequent PC prognosis is unknown. Herein, we selected pathologically diagnosed PC patients older than 17 between 2010 and 2015 from the SEER database. We used propensity score matching (PSM) to reduce confounding factors between groups and matched each PC patient witha history of thyroid cancerwith 10 PC patients without a history of thyroid cancer. Finally, we selected 103 PC patients with prior thyroid cancer and 1030 PC patients without prior thyroid cancer. Then, we analyzed the factors influencing the overall survival (OS) and the cancer-specific survival (CSS) of PC patients. The median overall survival of PC patients with and without a history of thyroid cancer was 12 and 9 months, respectively. The history of thyroid cancer in PC patients reduced the PC-specific mortality (p < 0.05). Prior thyroid cancer might increase PC patients’ survival and reduce PC-specific death, especially in male patients. Subject terms: Cancer

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The Clinical Characteristics and Treatments for Large Cell Carcinoma Patients Older than 65 Years Old: A Population-Based Study

Cited by 5 publications

References 40 publications

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

Value of thyroid cancer history in the prognosis of pancreatic cancer: a SEER population-based study

Value of thyroid cancer history in the prognosis of pancreatic cancer: a SEER population-based study

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