Histology-specific standardized incidence ratio improves the estimation of second primary lung cancer risk

医学 肺癌 癌症 人口 流行病学 入射(几何) 癌症登记处 内科学 相对风险 肿瘤科 肺癌筛查 环境卫生 置信区间 光学 物理
作者
Marian Eberl,Luana Fiengo Tanaka,Klaus Kraywinkel,Stefanie J. Klug
出处
期刊:BMC Medicine [Springer Nature]
卷期号:22 (1) 被引量:1
标识
DOI:10.1186/s12916-024-03398-9
摘要

Abstract Background Lung cancer (LC) survivors are at increased risk for developing a second primary cancer (SPC) compared to the general population. While this risk is particularly high for smoking-related SPCs, the published standardized incidence ratio (SIR) for lung cancer after lung cancer is unexpectedly low in countries that follow international multiple primary (IARC/IACR MP) rules when compared to the USA, where distinct rules are employed. IARC/IACR rules rely on histology-dependent documentation of SPC with the same location as the first cancer and only classify an SPC when tumors present different histology. Thus, SIR might be underestimated in cancer registries using these rules. This study aims to assess whether using histology-specific reference rates for calculating SIR improves risk estimates for second primary lung cancer (SPLC) in LC survivors. Methods We (i) use the distribution of histologic subtypes of LC in population-based cancer registry data of 11 regional cancer registries from Germany to present evidence that the conventional SIR metric underestimates the actual risk for SPLC in LC survivors in registries that use IARC/IACR MP rules, (ii) present updated risk estimates for SPLC in Germany using a novel method to calculate histological subtype-specific SIRs, and (iii) validate this new method using US SEER (Surveillance, Epidemiology, and End Results Program) data, where different MP rules are applied. Results The adjusted relative risk for lung cancer survivors in Germany to develop an SPLC was 2.98 (95% CI 2.53–3.49) for females and 1.15 (95% CI 1.03–1.27) for males using the novel histology-specific SIR. When using IARC/IACR MP rules, the conventional SIR underestimates the actual risk for SPLC in LC survivors by approximately 30% for both sexes. Conclusions Our proposed histology-specific method makes the SIR metric more robust against MP rules and, thus, more suitable for cross-country comparisons.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Namj发布了新的文献求助10
刚刚
木头完成签到,获得积分10
1秒前
2秒前
2秒前
yongjiang应助熊猫小肿采纳,获得10
2秒前
洋洋完成签到,获得积分10
2秒前
何香稳发布了新的文献求助10
2秒前
3秒前
HightLight发布了新的文献求助10
3秒前
炙热尔烟发布了新的文献求助10
3秒前
4秒前
4秒前
copyj发布了新的文献求助10
4秒前
4秒前
6秒前
lurongjun发布了新的文献求助10
6秒前
Janisa发布了新的文献求助10
6秒前
7秒前
小涛涛发布了新的文献求助10
8秒前
丸橙完成签到,获得积分10
8秒前
weixiao发布了新的文献求助10
9秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
丸橙发布了新的文献求助10
11秒前
qqqq发布了新的文献求助10
11秒前
11秒前
dameng完成签到 ,获得积分10
11秒前
小八统治世界完成签到,获得积分10
12秒前
愉快无施发布了新的文献求助30
12秒前
12秒前
13秒前
14秒前
科研通AI6应助Kevin63采纳,获得10
15秒前
k_1发布了新的文献求助10
15秒前
饼干吃土豆关注了科研通微信公众号
15秒前
16秒前
dong发布了新的文献求助10
17秒前
方法发布了新的文献求助10
18秒前
破天富贵玩命追我完成签到 ,获得积分10
18秒前
赘婿应助门小楠采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Linear and Nonlinear Functional Analysis with Applications, Second Edition 388
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5577556
求助须知:如何正确求助?哪些是违规求助? 4662649
关于积分的说明 14742832
捐赠科研通 4603346
什么是DOI,文献DOI怎么找? 2526283
邀请新用户注册赠送积分活动 1496084
关于科研通互助平台的介绍 1465546