CMCailing Ma
Papers(2)
Trends in high-risk h…Establishment of pred…
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First Affiliated Hosp…

Papers

Trends in high-risk human papillomavirus infection and cervical cytology of women in Karamay City, 2012–2021

Background To describe the changes in cervical lesions prevalence and high-risk human papillomavirus (HR-HPV) infections from 2012 to 2021, which have never been reported before, to provide direction for the effective implementation of cervical cancer prevention measures. Methods This retrospective study included women aged >25 years who received either organised or opportunistic cervical HR-HPV screening from January 2012 to December 2021 in Karamay Central Hospital, Karamay, China. The patients were split into four groups according to age 25–35, 36–45, 46–55 and >55 years, respectively. The Joinpoint Regression Program was used to analyse the trends of HR-HPV infection and the detection of cervical lesions. Results Data from 85,429 women revealed a decline in HR-HPV infection rates across all age groups from 2012 to 2021. Although HR-HPV infection rates decreased, cervical lesion detection rates increased, although the proportion of cervical cancer in these lesions declined, likely due to enhanced awareness and HPV vaccination in Karamay. From 2012 to 2021, the prevalence of low-grade squamous intraepithelial lesions was 9.70%, and high-grade squamous intraepithelial lesions was 5.85%. HR-HPV infections were highest in the ≥55 years age group, with HPV52 (20.96%) being the most prevalent type. Conclusions In the past 10 years, the prevalence of HR-HPV infection has shown a decreasing trend, whereas the detection prevalence of cervical lesions has shown an upward trend among women in Karamay City. Importantly, particular emphasis should be placed on cervical cancer screening in women aged >55 years.

Establishment of prediction models to predict survival among patients with cervical cancer based on socioeconomic factors: a retrospective cohort study based on the SEER Database

Objective To construct and validate predictive models based on socioeconomic factors for predicting overall survival (OS) in cervical cancer and compare them with the American Joint Council on Cancer (AJCC) staging system. Design Retrospective cohort study. Setting and participants We extracted data from 5954 patients who were diagnosed with cervical cancer between 2007 and 2011 from the Surveillance, Epidemiology, and End Results Database. This database holds data related to cancer incidence from 18 population-based cancer registries in the USA. Outcome measures 1-year and 5-year OS. Results Of the total 5954 patients, 5820 patients had 1-year mortality and 5460 patients had 5-year mortality. Lower local education level [Hazard ratios (HR): 1.15, 95% confidence interval (CI): 1.04 to 1.27, p= 0.005] and being widowed (HR 1.28, 95% CI 1.06 to 1.55, p=0.009) were associated with a worse OS for patients with cervical cancer. Having insurance (HR 0.75, 95% CI 0.62 to 0.90, p=0.002), earning a local median annual income of ≥US$56 270 (HR 0.83, 95% CI 0.75 to 0.92, p<0.001) and being married (HR 0.79, 95% CI 0.69 to 0.89, p<0.001) were related to better OS in patients with cervical cancer. The predictive models based on socioeconomic factors and the AJCC staging system had a favourable performance for predicting OS in cervical cancer compared with the AJCC staging system alone. Conclusion Our proposed predictive models exhibit superior predictive performance, which may highlight the potential clinical application of incorporating socioeconomic factors in predicting OS in cervical cancer.

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