Evidence map›Paper›PMID 31496726›Full record

ReviewOncoTargets and therapy2019

Whole-exome sequencing insights into pulmonary artery sarcoma mimicking pulmonary embolism: a case report and review.

Ying Wu, Jing Huang, Qin Wang, Mei Zhang, Yimin Luo, Xihua Wang, Xiaoli Zhu, Hongbing Liu

Open access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 3 institutions in 1 country.

Ying WuDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Jing HuangDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Qin WangDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, People's Republic of China.
Mei ZhangDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Yimin LuoDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Xihua WangDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Xiaoli ZhuDepartment of Respiratory Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, People's Republic of China.
Hongbing LiuDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, People's Republic of China.
Zhongda Hospital Southeast University · CNNanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary artery sarcoma (PAS) is a rare and aggressive mesenchymal tumor that often mimics thromboembolic disease. Due to its rare and fatal nature, patients are often underdiagnosed or misdiagnosed. There is still no consensus regarding the diagnosis and treatment of PAS. We present a case of a 63 year old male misdiagnosed with pulmonary thromboembolism who received anticoagulant therapy.

Indexed as

anlotinibpulmonary artery sarcomawhole exome sequencing

Identifiers

PMID31496726
PMCPMC6689559
OpenAlexW2966603093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.