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利用伊朗 1990 年至 2018 年的吸烟流行率预测气管、支气管和肺癌发病率的流行率:基于潜伏期模型与标准预测模型的比较。

Projection of the prevalence of tracheal, bronchus, and lung cancer incidence using cigarette smoking prevalence in Iran from 1990 to 2018: a comparison of latent period-based models with standard forecasting models.

机构信息

Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Research Centre for Health Sciences, Institute of Health, School of Health, Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

BMC Public Health. 2024 Jul 15;24(1):1896. doi: 10.1186/s12889-024-19407-8.

Abstract

BACKGROUND

Smoking is the major risk factor for tracheal, bronchus, and lung (TBL) cancers. We investigated the feasibility of projecting TBL cancer incidence using smoking incidence rates by incorporating a range of latent periods from the main risk factor exposure to TBL cancer diagnosis.

METHODS

In this ecological study, we extracted data on TBL cancer incidence rates in Iran from 1990 to 2018 from the Global Burden of Disease (GBD) database. We also collected data on Iranian cigarette smoking patterns over the past 40 years through a literature review. The weighted average smoking incidence was calculated using a fixed-effects model with Comprehensive Meta-Analysis (CMA) software. Using these data, the five-year TBL cancer incidence in Iran was projected through time series modeling with IT Service Management (ITSM) 2000 software. A second model was developed based on cigarette smoking incidence using linear regression with SPSS (version 22), incorporating different latent periods. The results of these two models were compared to determine the best latent periods.

RESULTS

An increasing trend in TBL cancer incidence was observed from 2019 to 2023 (first model: 10.30 [95% CI: 9.62, 10.99] to 11.42 [95% CI: 10.85, 11.99] per 100,000 people). In the second model, the most accurate prediction was obtained with latent periods of 17 to 20 years, with the best prediction using a 17-year latent period (10.13 to 11.40 per 100,000 people) and the smallest mean difference of 0.08 (0.84%) per 100,000 people using the standard forecasting model (the ARIMA model).

CONCLUSION

Projecting an increase in TBL cancer incidence rates in the future, an optimal latent period of 17 to 20 years between exposure to cigarette smoke and TBL cancer incidence has implications for macrolevel preventive health policymaking to help reduce the burden of TBL cancer in upcoming years.

摘要

背景

吸烟是气管、支气管和肺癌(TBL)的主要危险因素。我们通过纳入从主要危险因素暴露到 TBL 癌症诊断的一系列潜伏期,研究了使用吸烟发病率来预测 TBL 癌症发病率的可行性。

方法

在这项生态研究中,我们从全球疾病负担(GBD)数据库中提取了 1990 年至 2018 年伊朗 TBL 癌症发病率的数据。我们还通过文献回顾收集了过去 40 年伊朗香烟吸烟模式的数据。使用固定效应模型和综合荟萃分析(CMA)软件计算加权平均吸烟发病率。使用这些数据,通过 IT 服务管理(ITSM)2000 软件的时间序列建模来预测伊朗未来五年的 TBL 癌症发病率。根据香烟吸烟发病率,我们还使用 SPSS(版本 22)中的线性回归建立了第二个模型,并纳入了不同的潜伏期。通过比较这两个模型的结果,确定了最佳潜伏期。

结果

从 2019 年到 2023 年,TBL 癌症发病率呈上升趋势(第一个模型:每 10 万人中 10.30 [95%CI:9.62,10.99]至 11.42 [95%CI:10.85,11.99])。在第二个模型中,潜伏期为 17 至 20 年时预测最准确,潜伏期为 17 年时预测最佳(每 10 万人中 10.13 至 11.40),每 10 万人的平均差异最小,为 0.08(0.84%),使用标准预测模型(ARIMA 模型)。

结论

未来预计 TBL 癌症发病率将上升,吸烟与 TBL 癌症发病率之间的最佳潜伏期为 17 至 20 年,这对制定宏观层面的预防保健政策具有重要意义,有助于减少未来几年 TBL 癌症的负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a279/11251385/f687d7c83279/12889_2024_19407_Fig1_HTML.jpg

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