Evidence map›Paper›PMID 39809769›Full record

ArticleScientific reports2025

Decreased risk of cardiovascular disease mortality associated with occasional positive screens following cancer screenings.

Yuting Ji, Yu Zhang, Hongyuan Duan, Xiaomin Liu, Yunmeng Zhang, Zhuowei Feng, Jingjing Li, Zeyu Fan, Ya Liu, Yacong Zhang and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yuting JiDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Yu ZhangDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Hongyuan DuanDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Xiaomin LiuDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Yunmeng ZhangDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Zhuowei FengDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Jingjing LiDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Zeyu FanDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Ya LiuDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Yacong ZhangDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Lei YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Zhangyan LyuDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Fangfang SongDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Fengju SongDepartment of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
Hua Li *Department of Endoscopy, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China. lihualixing@126.com.
Yubei Huang *Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China. yubei_huang@163.com.

Funding

The Chinese National Key Research and Development Project 2021YFC2500400Tianjin Health Committee Foundation TJWJ2021MS008
6 · The paper itself

Abstract

Positive results from cancer screenings, like a cancer diagnosis, can increase the risk of cardiovascular disease (CVD) mortality due to heightened psychological stress. However, positive screening results may also serve as a teachable moment to encourage the adoption of a healthier lifestyle. Consequently, the overall association between positive screenings and CVD mortality risk remains unclear. Based on PLCO data, the risk of CVD mortality associated with the number and types of positive screens was evaluated using Cox regression models among 149,258 eligible participants enrolled between 1993 and 2001. Additional analyses explored these associations stratified by prior CVD history. Exploratory analyses were also conducted to investigate whether positive screens were linked to the potential adoption of a healthier lifestyle. After a median follow-up of 19 years, significantly decreased risk of CVD mortality was observed for individuals with occasional positive screening (≤ 2 positive screens) [adjusted hazard ratio (HR, 95%CIs): 0.931 (0.897-0.968), P < 0.001] compared to the control arm. This effect was particularly notable for flexible sigmoidoscopy [0.842 (0.802-0.884), P < 0.001] and transvaginal ultrasound [0.855 (0.776-0.942), P = 0.002]. However, when the number of positive screens increased to more than two, the reduced risk of CVD mortality became non-significant [0.977 (0.941-1.014), P = 0.220]. Subgroup analyses revealed a greater reduction in CVD mortality risk among participants without a history of CVD [0.917 (0.864-0.973)] compared to those with a history of CVD [0.944 (0.898-0.993)]. Sensitivity analyses excluding screening-detected cancers showed similar association in the overall population [0.933 (0.897-0.970)], as well as in both subgroups with [0.945 (0.898-0.995)] and without previous CVD [0.919 (0.865-0.976)]. Exploratory analyses indicated a significantly higher proportion of any body mass index (BMI) reduction among those with a baseline BMI ≥ 25 kg/m2 who had positive screens compared to the control arm, particularly for individuals with occasional positive screens (48.07% vs. 47.04%, P value = 0.037). Occasional positive cancer screening are associated with reduced risk of CVD mortality, regardless of prior CVD history, cancer diagnosis, and other competitive risks.

Indexed as

Cardiovascular DiseasesEarly Detection of CancerNeoplasmsAdultAgedFemaleFollow-Up StudiesHumansMaleMass ScreeningMiddle AgedProportional Hazards ModelsRisk FactorsCancerCardiovascular diseaseCohortCox regression modelDeathPositive screen

Identifiers

PMID39809769
PMCPMC11733302

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