Evidence map›Paper›PMID 29777128›Full record

ArticleScientific reports2018

Comparison of the serum metabolic signatures based on

Jie Cao, Qian-Qian Jin, Gui-Ming Wang, Hong-Lin Dong, Yong-Ming Feng, Jun-Sheng Tian, Ke-Ming Yun, Ying-Yuan Wang, Jun-Hong Sun

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Mapping Thrombosis Serum Markers byMolecules (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. NMR-Metabolomics in COVID-19 Research.Advances in experimental medicine and biology · 2023
    Article
  9. Article
  10. 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

9 authors at 2 institutions in 1 country.

Jie CaoSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Qian-Qian JinSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Gui-Ming WangDepartment of Vascular Surgerey, First Hospital of Shanxi Medical University, Taiyuan, 030001, P. R. China.
Hong-Lin DongDepartment of Vascular Surgerey, Second Hospital of Shanxi Medical University, Taiyuan, 030009, P. R. China.
Yong-Ming FengSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Jun-Sheng TianModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China.
Ke-Ming YunSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Ying-Yuan WangSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China. wyy580218@163.com.
Jun-Hong SunSchool of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, P. R. China. junhong.sun@sxmu.edu.cn.ORCID 0000-0002-6970-2620
Shanxi Medical University · CNShanxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep vein thrombosis (DVT) and pulmonary embolism (PE) have high morbidity, reduce quality of life, and can cause death. Biomarkers or genetic risk factors have not been identified in patients with DVT. In present study, serum of 61 patients suffering from DVT and a rat DVT model (n = 10) were assayed by a proton nuclear magnetic resonance (

Indexed as

AnimalsBiomarkersDisease Models, AnimalFemaleHumansMaleMetabolomicsMultivariate AnalysisProton Magnetic Resonance SpectroscopyRatsROC CurveSerumVenous ThrombosisBiomarkers

Identifiers

PMID29777128
PMCPMC5959905
OpenAlexW2804101083

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.