Evidence map›Paper›PMID 37860197›Full record

ArticleFrontiers in oncology2023

Age has a U-shaped relationship with breast cancer outcomes in women: a cohort study.

Yujie Xie, Yongqing Deng, Suosu Wei, Zhen Huang, Lihui Li, Kai Huang, Chunyu Wei, Jinan Xu, Lingguang Dong, Qiuhuan Zhang and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

13 authors.

Yujie XieDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Yongqing DengThe Family Planning Office of Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Suosu WeiDepartment of Scientific Cooperation of Guangxi Academy of Medical Sciences, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Zhen HuangDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Lihui LiDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Kai HuangDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Chunyu WeiDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jinan XuDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Lingguang DongDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Qiuhuan ZhangDepartment of Colorectal and Anal Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jiehua ZhaoDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Quanqing ZouDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jianrong YangDepartment of Breast and Thyroid Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Age is a significant determinant of susceptibility to breast cancer. Currently, the available evidence regarding the non-linear correlation between the age of diagnosis and the prognosis of breast cancer patients is contradictory. Insufficient data currently exist regarding the influence of age at diagnosis on the prognosis of breast cancer. The objective of our investigation was to examine the relationship between age at diagnosis and overall survival (OS), breast cancer-specific survival (BCSS), and disease-free survival (DFS). Methods: This retrospective cohort study included 1054 patients diagnosed with breast cancer between March 7, 2013 and December 31, 2019. The hazard ratios (HRs) and 95% confidence interval (CI) for OS, BCSS, DFS were assessed using Cox proportional hazard ratio models and restricted cubic splines (RCS). Results: The study included 1054 breast cancer patients who met the criteria. With a median follow-up of 4.86 years, 71 patients (6.74%) died and 144 patients (13.66%) relapsed. After multivariable adjustment, age showed a U-shaped association with OS, BCSS, and DFS, with significantly higher risk at two ends, with age inflection points of 44, 44, and 41 years for OS, BCSS, and DFS, respectively. For OS, Quartile 1 (HR, 2.09; 95% CI: 0.90-4.84), Quartile 3 (HR, 2.44; 95% CI: 1.05-5.65) and Quartile 4 (HR, 3.38; 95% CI: 1.51-7.54) had poorer OS compared with Quartile 2. Similar results were found for BCSS and DFS. Conclusions: This study confirmed a U-shaped association between age at diagnosis and breast cancer outcome.

Indexed as

agebreast cancerbreast cancer-specific survivaldisease-free survivaloverall survivalprognosis

Identifiers

PMID37860197
PMCPMC10583555

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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.