Evidence map›Paper›PMID 32766314›Full record

ArticleBioMed research international2020

Identification of Vinculin as a Potential Diagnostic Biomarker for Acute Aortic Dissection Using Label-Free Proteomics.

He-Qing Wang, Hang Yang, Qian Tang, Yi-Chen Gong, Yuan-Hao Fu, Feng Wan, Bo Yang, Rui Guo, Yong-Liang Zhong, Jun-Ming Zhu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

11 authors at 2 institutions in 1 country.

He-Qing WangDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.ORCID https://orcid.org/0000-0002-1117-9275
Hang YangDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Qian TangDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Yi-Chen GongDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Yuan-Hao FuDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Feng WanDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Bo YangDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Rui GuoDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.
Yong-Liang ZhongDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100020, China.
Jun-Ming ZhuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100020, China.
Zhe ZhangDepartment of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China.ORCID https://orcid.org/0000-0003-0336-4865
Peking University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute aortic dissection (AAD) is an emergent vascular disease. Currently, its diagnosis depends on clinical and radiological investigations but lacking of serum biomarkers. In this study, we aimed to identify potential serum biomarkers for AAD using label-free proteomics approach. A total of 90 serum samples were collected from three groups: patients with acute aortic dissection (AAD,

Indexed as

Aortic AneurysmAortic DissectionBiomarkersCase-Control StudiesDiagnosis, DifferentialEarly DiagnosisFemaleHumansMaleMiddle AgedMyocardial InfarctionProteomeProteomicsVinculinBiomarkersProteomeVCL protein, humanVinculin

Identifiers

PMID32766314
PMCPMC7388002
OpenAlexW3045325241

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.