Evidence map›Paper›PMID 33673507›Full record

ArticleVeterinary sciences2021

Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays.

Patharee Oungsakul, Eunju Choi, Alok K Shah, Ahmed Mohamed, Caroline O'Leary, David Duffy, Michelle M Hill, Helle Bielefeldt-Ohmann

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2021. 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 48% 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, 4 citations in OpenAlex.

  1. Article
  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

8 authors at 2 institutions in 2 countries.

Patharee OungsakulSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0003-4523-3484
Eunju ChoiThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Alok K ShahThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Ahmed MohamedQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.ORCID 0000-0001-6507-5300
Caroline O'LearySchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.
David DuffyThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.ORCID 0000-0001-7227-632X
Michelle M HillThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.ORCID 0000-0003-1134-0951
Helle Bielefeldt-OhmannSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.
The University of Queensland · AUQIMR Berghofer Medical Research Institute · AU

Funding

The Australian Animal Cancer Foundation not applicablethe John & Mary Kibble Foundation not applicableUniversity of Queensland Collaboration and Industry Engagement Fund not applicable
6 · The paper itself

Abstract

Visceral hemangiosarcoma (HSA) is one of the more frequent cancers in dogs and has a high metastatic rate and poor prognosis, as clinical signs only become apparent in advanced stages of tumor development. In order to improve early and differential diagnostic capabilities and hence, prognosis for dogs with HSA, two types of biomarker are needed: a point-of-care diagnostic biomarker and a prognostic biomarker-preferentially based on samples obtained with minimally invasive methods. In this study, we applied a lectin magnetic bead array-coupled tandem mass spectrometry (LeMBA-MS/MS) workflow through discovery and validation phases to discover serum glycoprotein biomarker candidates for canine HSA. By this approach, we found that

Indexed as

complement C7dogglycoproteinhemangiosarcomahistochemistryH-scorelectin

Identifiers

PMID33673507
PMCPMC7997418
OpenAlexW3135727782

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.