Evidence map›Paper›PMID 34490502›Full record

ArticleBreast cancer research and treatment2021

Impact of clinical-pathological factors on locoregional recurrence in mastectomy patients with T1-2N1 breast cancer: who can omit adjuvant radiotherapy?

Xiaofang Wang, Li Zhang, Xiaomeng Zhang, Jurui Luo, Xuanyi Wang, Xingxing Chen, Zhaozhi Yang, Xin Mei, Xiaoli Yu, Zhen Zhang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Postmastectomy radiotherapy in patients with TJournal of cancer research and clinical oncology · 2023
    Pooled it
  2. Article
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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 at 1 institution in 1 country.

Xiaofang WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Li ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaomeng ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Jurui LuoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xuanyi WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xingxing ChenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zhaozhi YangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xin MeiDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaoli YuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zhen ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaomao GuoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zhimin ShaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Jinli MaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. jinli.ma@aliyun.com.ORCID http://orcid.org/0000-0001-6127-648X
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePostmastectomy radiation therapy (PMRT) in T1-T2 tumors with 1-3 positive axillary lymph nodes (ALNs) is controversial. This study was to identify prognostic factors of locoregional control (LRC) following mastectomy with or without PMRT for patients with T1-2N1 breast cancer and to discuss the selection of patients who might omit PMRT. MATERIALS AND

methodsBetween January 2006 and December 2012, the data of 1474 postmastectomy patients staged pT1-2N1 were analyzed. PMRT was applied in 663 patients. LRC and disease-free survival (DFS) were calculated using the Kaplan-Meier method. Cox regression model was applied in the univariate and multivariate analyses to recognize the recurrence risk factors.

resultsWith the median follow-up duration of 93 months (range, 5-168 months), 78 patients (5.3%) failed to secure LRC and 220 patients (14.9%) experienced any recurrence. The 7.7-year LRC and DFS was 94.9% and 85.4% respectively in the entire cohort. PMRT significantly improved 7.7-year LRC from 93.4% to 96.6% (p = 0.005), but not the DFS (p = 0.335). Multivariate analysis revealed that PMRT was an independent prognostic factor of LRC (p < 0.001), meanwhile, age ≤ 40 years (p = 0.012), histological grade 3 (p = 0.004), 2-3 positive nodes (p < 0.001) and tumor size of 3-5 cm (p = 0.045) were significantly associated with decreased LRC. The 7.7-year LRC for patients with 0, 1, and 2-4 risk factors was 97.7% / 98.9% (p = 0.233), 95.3% / 98.0% (p = 0.092), and 80.3% / 94.8% (p < 0.001) in the non-PMRT and PMRT group, respectively.

conclusionsIn patients with T1-2N1 breast cancer, clinical-pathological factors including young age, histological grade 3, 2-3 positive nodes, and tumor size of 3-5 cm were identified to be predictors of a poorer LRC following mastectomy. Patients with 0-1 risk factor might consider the omission of PMRT.

Indexed as

Breast NeoplasmsAdultFemaleHumansLymphatic MetastasisMastectomyNeoplasm Recurrence, LocalNeoplasm StagingRadiotherapy, AdjuvantBreast cancerEarly stagePMRTPrognostic factors

Identifiers

PMID34490502
PMCPMC8558198
OpenAlexW3094432201

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.