Evidence map›Paper›PMID 35572869›Full record

ArticleJournal of thoracic disease2022

Association of marital status with cardiovascular outcome in patients with breast cancer.

Tianwang Guan, Yuyan Wang, Feng Li, Dongting Chen, Qingqian Wei, Kenie Wang, Hanbin Zhang, Jinming Yang, Jin Zeng, Yanxian Lai and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Tianwang Guan *Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yuyan Wang *Department of Gerontology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Feng LiDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Dongting ChenDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Qingqian WeiDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Kenie WangThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Hanbin ZhangDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Jinming YangDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Jin ZengDepartment of Clinical Medicine, Clinical Medical School, Guangzhou Medical University, Guangzhou, China.
Yanxian LaiDepartment of Cardiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Zhengxia YangDepartment of Electronic Business, School of Economics and Finance, South China University of Technology, Guangzhou, China.
Cheng LiuDepartment of Cardiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNSouth China University of Technology · CNSouthern Medical University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The influences of marital status on cardiovascular death risk in patients with breast cancer remained unclear. This study aimed to evaluate the associations of different marital status with cardiovascular death risk in patients with breast cancer. Methods: A total of 182,666 female breast cancer patients were enrolled in this study from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2014, and was divided into two groups: married (N=107,043) and unmarried (N=75,623). A 1:1 propensity score matching (PSM) was applied to reduce inter-group bias between the two groups. Competing-risks model was used to assess the associations between different marital status and cardiovascular death risk in patients with breast cancer. Results: After PSM, marital status was an independent predictor for cardiovascular death in patients with breast cancer. Unmarried condition was associated with increased cardiovascular death risk than married condition among breast cancer patients [unadjusted model: hazard ratio (HR) =2.012, 95% confidence interval (CI): 1.835-2.208, P<0.001; Model 1: HR =1.958, 95% CI: 1.785-2.148, P<0.001; Model 2: HR =1.954, 95% CI: 1.781-2.144, P<0.001; Model 3: HR =1.920, 95% CI: 1.748-2.107, P<0.001]. With the exception of separated condition (adjusted HR =0.886, 95% CI: 0.474-1.658, P=0.705), further unmarried subgroups analysis showed that the other three unmarried status were associated with increased cardiovascular death risk as follows: single (adjusted HR =1.623, 95% CI: 1.421-1.853, P<0.001), divorced (adjusted HR =1.394, 95% CI: 1.209-1.608, P<0.001), and widowed (adjusted HR =2.460, 95% CI: 2.227-2.717, P<0.001). In particularly, widowed condition showed the highest cardiovascular death risk in all 4 unmarried subgroups. Conclusions: Unmarried condition (e.g., single, divorced and widowed) was associated with elevated cardiovascular death risk compared with their married counterparts in patients with breast cancer, suggesting that more attention and humanistic care should be paid to unmarried breast cancer patients (especially the widowed patients) in the management of female breast cancer patients.

Indexed as

Breast cancercardio-oncologycardiovascular deathmarital statusSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID35572869
PMCPMC9096314
OpenAlexW4239656722

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.