Evidence map›Paper›PMID 41358054›Full record

ArticleRespirology case reports2025

Cardiac Angiosarcoma With Lung Metastasis Presenting as Granuloma-Like Lesions: One Case Report and Literature Review.

Weiqi Mao, Xiaoyan Chen, Jian Xu, Liang Xie, Xu Wu, Lingli Chen, Yuanlin Song, Jun She

Abstract read
In one paragraph

Article in Respirology case reports, 2025. 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

8 authors.

Weiqi MaoDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.ORCID https://orcid.org/0009-0004-8784-929X
Xiaoyan ChenDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.
Jian XuDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.ORCID https://orcid.org/0009-0003-0280-3632
Liang XieDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.
Xu WuDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.
Lingli ChenDepartment of Pathology Zhongshan Hospital, Fudan University Shanghai China.
Yuanlin SongDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.ORCID https://orcid.org/0000-0003-3373-6631
Jun SheDepartment of Respiratory and Critical Care Medicine Zhongshan Hospital, Fudan University Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic pulmonary angiosarcoma exhibits highly heterogeneous clinical, imaging and pathological features, with an extremely poor prognosis. This case report describes a 30-year-old woman who presented with recurrent hemoptysis and multiple pulmonary nodules with exudative changes in the lung, pathologically resembling granulomatous lesions and eventually confirmed as primary cardiac angiosarcoma with pulmonary metastasis. Twenty-two cases of metastatic pulmonary angiosarcoma from the literature were reviewed. For cases with recurrent hemoptysis, multiple pulmonary nodules or thin-walled cysts and 'halo sign' or ground-glass opacities, metastatic pulmonary angiosarcoma should be highly suspected. Histopathology remains the gold standard for diagnosis. Early biopsies or small biopsy specimens carry a risk of false negativity; adequate tissue samplings are essential to improve diagnostic accuracy.

Indexed as

angiosarcomalung neoplasmspulmonary metastasis

Identifiers

PMID41358054
PMCPMC12678865

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.