Evidence map›Paper›PMID 33946285›Full record

ArticleBrain sciences2021

Distinguishing Alzheimer's Disease Patients and Biochemical Phenotype Analysis Using a Novel Serum Profiling Platform: Potential Involvement of the VWF/ADAMTS13 Axis.

Jay S Hanas, James R S Hocker, Christian A Vannarath, Megan R Lerner, Scott G Blair, Stan A Lightfoot, Rushie J Hanas, James R Couch, Linda A Hershey

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Plasma von Willebrand Factor and ADAMTS13 Interact WithJournal of the American Heart Association · 2026
    Article
  2. Article
  3. Article
  4. Review
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.

Jay S HanasDepartment of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.ORCID 0000-0003-1922-5333
James R S HockerDepartment of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Christian A VannarathDepartment of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Megan R LernerDepartment of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Scott G BlairDepartment of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Stan A LightfootVeterans Administration Hospital, Oklahoma City, OK 73104, USA.
Rushie J HanasDepartment of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
James R CouchDepartment of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.ORCID 0000-0003-3033-3482
Linda A HersheyDepartment of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.ORCID 0000-0001-5090-6634
University of Oklahoma Health Sciences Center · USUnited States Department of Veterans Affairs · US

Funding

National Research Foundation of Korea NRF-2018-R1C1B5083040National Research Foundation of Korea NRF-2018-R1D1A1A0-2085328
6 · The paper itself

Abstract

It is important to develop minimally invasive biomarker platforms to help in the identification and monitoring of patients with Alzheimer's disease (AD). Assisting in the understanding of biochemical mechanisms as well as identifying potential novel biomarkers and therapeutic targets would be an added benefit of such platforms. This study utilizes a simplified and novel serum profiling platform, using mass spectrometry (MS), to help distinguish AD patient groups (mild and moderate) and controls, as well as to aid in understanding of biochemical phenotypes and possible disease development. A comparison of discriminating sera mass peaks between AD patients and control individuals was performed using leave one [serum sample] out cross validation (LOOCV) combined with a novel peak classification valuation (PCV) procedure. LOOCV/PCV was able to distinguish significant sera mass peak differences between a group of mild AD patients and control individuals with a

Indexed as

Alzheimer’s disease (AD)biochemical phenotype analysismass spectrometryserum profilingSSPO AD biomarkertraumatic brain injury (TBI)VWF/ADAMTS13 axis

Identifiers

PMID33946285
PMCPMC8145311
OpenAlexW3157209213

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.