Evidence map›Paper›PMID 26604790›Full record

ArticleOncoTargets and therapy2015

Management experiences of primary angiosarcoma of breast: a retrospective study from single institute in the People's Republic of China.

Qun-Chao Hu, Xin Mei, Yan Feng, Jin-Li Ma, Zhao-Zhi Yang, Zhi-Min Shao, Xiao-Li Yu, Xiao-Mao Guo

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Qun-Chao HuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China ; Department of Radiation Oncology, Suzhou Municipal Hospital, Suzhou, People's Republic of China.
Xin MeiDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Yan FengDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Jin-Li MaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Zhao-Zhi YangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Zhi-Min ShaoDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China ; Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Xiao-Li YuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Xiao-Mao GuoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary angiosarcoma of breast (PAOB) is a rare and highly aggressive malignancy. There is no general agreement on optimal treatments or prognostic factors for this orphan disease. The objective of this study was to investigate the clinicopathologic features and management experiences of PAOB.

methodsWe performed a retrospective review of medical and pathologic records of 17 consecutive patients diagnosed with PAOB between January 2000 and February 2014 at FuDan University Shanghai Cancer Center. We evaluated the clinical characteristics, multimodality treatments, and associated clinical outcomes.

resultsA total of 16 patients were included in this retrospective study (median age at PAOB presentation 33.5 years, range: 19-56 years). Palpable tumor with or without breast skin ecchymosis presented as the most common initial symptom. All patients underwent surgery with curative intent. Median disease-free survival and overall survival (OS) were 9 months and 13.6 months, respectively. One-year and 3-year disease-free survival rates were 43.8% and 6.3%, with OS rates of 93.8% and 78.1%, respectively. High histologic grade indicated poorer OS by univariate analysis (P=0.01). However, neither adjuvant chemotherapy nor radiotherapy contributed to clinical outcomes in our series.

conclusionPAOB is considered as an infrequent breast neoplasm with aggressive characteristics. Histologic grade and early metastasis (within 12 months after diagnosis) are associated with poor prognosis. Regardless of grade, additional benefit was not observed with adjuvant therapy.

Indexed as

adjuvant therapybreast neoplasmhistologic gradeprimary angiosarcoma

Identifiers

PMID26604790
PMCPMC4640151
OpenAlexW2183109107

What OpenQuestion holds

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LicenceCC BY-NC
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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.