Evidence map›Paper›PMID 30237882›Full record

ArticleBiomarker research2018

Aptamer-based search for correlates of plasma and serum water T

Vipulkumar Patel, Alok K Dwivedi, Sneha Deodhar, Ina Mishra, David P Cistola

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomarker research, 2018. 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
0.6field-weighted citation impact, top 31% 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, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Advances in Aptamer-Based Biomarker Discovery.Frontiers in cell and developmental biology · 2021
    Review
  4. Review
  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

5 authors at 2 institutions in 1 country.

Vipulkumar Patel1Nanoparticle Diagnostics Laboratory, Institute for Cardiovascular & Metabolic Diseases, University of North Texas Health Science Center, Fort Worth, TX 76107 USA.
Alok K Dwivedi3Division of Biostatistics & Epidemiology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX 79905 USA.
Sneha Deodhar1Nanoparticle Diagnostics Laboratory, Institute for Cardiovascular & Metabolic Diseases, University of North Texas Health Science Center, Fort Worth, TX 76107 USA.
Ina Mishra1Nanoparticle Diagnostics Laboratory, Institute for Cardiovascular & Metabolic Diseases, University of North Texas Health Science Center, Fort Worth, TX 76107 USA.
David P Cistola1Nanoparticle Diagnostics Laboratory, Institute for Cardiovascular & Metabolic Diseases, University of North Texas Health Science Center, Fort Worth, TX 76107 USA.ORCID 0000-0002-9586-8720
Texas Tech University · USUniversity of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome is a cluster of abnormalities that increases the risk for type 2 diabetes and atherosclerosis. Plasma and serum water T

methodsWater T

resultsThe multi-step analysis unveiled five new proteins most predictive of water T

conclusionsThe identification of new proteins associated with water T

Indexed as

Classification and regression tree analysisGlucokinase regulatory proteinHepatocyte growth factorInsulin resistanceMetabolic syndromeNuclear magnetic resonance relaxometryRandom forestsReceptor tyrosine kinase FLT3SOMAscan aptamer assayTransverse relaxation time constant

Identifiers

PMID30237882
PMCPMC6142358
OpenAlexW2889880114

What Socratic 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 Socratic graph.