Evidence map›Paper›PMID 39845821›Full record

ArticleFrontiers in medicine2024

The potential benefits of radiotherapy in elderly patients with early-stage triple-negative breast cancer.

Zheng Xu, Chengdong Qin, Binxiao Cao, Pengcheng Ruan, Mianhao Zhang, Guidong Chen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Zheng Xu *Department of General Surgery, The People's Hospital of Fenghua Ningbo, Ningbo, China.
Chengdong Qin *Department of Breast Surgery, Zhejiang Cancer Hospital, Ningbo, China.
Binxiao CaoDepartment of General Surgery, The People's Hospital of Fenghua Ningbo, Ningbo, China.
Pengcheng RuanDepartment of General Surgery, The People's Hospital of Fenghua Ningbo, Ningbo, China.
Mianhao ZhangDepartment of General Surgery, The People's Hospital of Fenghua Ningbo, Ningbo, China.
Guidong ChenDepartment of General Surgery, The People's Hospital of Fenghua Ningbo, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) is the most common cancer in women in the U.S. and a leading cause of cancer-related deaths. The incidence rises with age, especially in women over 70. Older patients often face multiple comorbidities, complicating treatment decisions. This study will analyze the role of radiotherapy (RT) in early-stage triple-negative breast cancer (TNBC) among elderly patients using the SEER database to assess its impact on survival outcomes. Methods: The patients aged 70+ with T1-2N0-1M0 TNBC were selected from the SEER database (2010-2015) according to specific inclusion and exclusion criteria. Statistical analyses involved chi-square tests, propensity score matching (PSM), and Cox regression to identify risk factors. A nomogram was developed, and Kaplan-Meier analysis compared overall (OS) and breast cancer-specific survival (BCSS) across different groups. Results: A total of 3,024 elderly patients with early-stage TNBC were analyzed. After employing PSM to eliminate baseline differences, survival analysis indicated that the breast-conserving surgery (BCS) group could benefit from RT (OS, HR = 0.68, Conclusion: RT significantly improves OS and BCSS in early-stage TNBC patients after BCS, particularly for intermediate to high-risk individuals, while low-risk patients may omit it.

Indexed as

elderly patientnomogrampropensity score matching (PSM)radiotherapySEER programtriple-negative breast cancer (TNBC)

Identifiers

PMID39845821
PMCPMC11751052

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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.