Evidence map›Paper›PMID 35615878›Full record

ArticleThoracic cancer2022

Angiosarcoma of breast and chest wall complicated with tuberculous empyema: A case report.

Xingchen Gao, Haiyan Liu, Feng Wang, Ziwei Xu, Yi Han, Shuku Liu

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 at 1 institution in 1 country.

Xingchen GaoThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Haiyan LiuThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Feng WangThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Ziwei XuThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Yi HanThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9318-4499
Shuku LiuThoracic Surgery Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiosarcoma is a highly malignant endothelial tumor, accounting for 1% to 2% of soft tissue sarcomas. The most common site of the disease is the skin, accounting for approximately 60% of cases, especially the skin of the head. It can also occur in soft tissue, bone, and retroperitoneum. However, angiosarcomas of the breast and chest wall are rare. Here, we report a 44-year-old woman who was admitted to hospital with encapsulated empyema. She was subsequently diagnosed with angiosarcomas of the breast and chest wall with tuberculous empyema. At the same time, we also reviewed the current research progress in angiosarcoma of the breast and chest wall to explore better treatment options for these patients.

Indexed as

Empyema, TuberculousHemangiosarcomaThoracic WallAdultBreastFemaleHumansangiosarcomacase reportempyematuberculosis

Identifiers

PMID35615878
PMCPMC9284151
OpenAlexW4281550329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.