Evidence map›Paper›PMID 36291544›Full record

ArticleBiomolecules2022

Obtaining a Reliable Diagnostic Biomarker for Diabetes Mellitus by Standardizing Salivary Glucose Measurements.

Yangyang Cui, Hankun Zhang, Song Wang, Junzhe Lu, Jinmei He, Lanlan Liu, Weiqiang Liu

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. 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
1.3field-weighted citation impact, top 20% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Yangyang CuiTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Hankun ZhangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Song WangBiomechanics and Biotechnology Laboratory, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China.
Junzhe LuBiomechanics and Biotechnology Laboratory, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China.
Jinmei HeBiomechanics and Biotechnology Laboratory, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China.
Lanlan LiuBiomechanics and Biotechnology Laboratory, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China.
Weiqiang LiuTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
University Town of Shenzhen · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salivary glucose is frequently utilized in diabetes mellitus (DM), and it might be proposed as a potential biomarker candidate for DM, as it is non-invasive and cost-effective and achieves adequate diagnostic performance for DM patients. However, salivary glucose levels may change under specific conditions. It is consequently essential to maintain a consistent strategy for measuring saliva, taking into account the possibility of external factors influencing salivary glucose levels. In this study, we analyzed salivary glucose levels under different handling conditions and donor-dependent factors, including age, interdiurnal variations, and collection and processing methods. A structured questionnaire was used to determine the symptoms and predisposing factors of DM. The glucose oxidase peroxidase method was used to estimate glucose levels in the blood and saliva of people in a fasting state. The aim of this study is to investigate the effect of such conditions on salivary glucose levels. We found that these extraneous variables should be taken into account in the future when salivary glucose is used as a predictive biomarker for DM.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2BiomarkersCase-Control StudiesGlucoseGlucose OxidaseHumansPeroxidasesBiomarkersBlood GlucoseGlucoseGlucose OxidasePeroxidasesdiabetes mellitussalivasalivary glucosesample collectionstandardizing

Identifiers

PMID36291544
PMCPMC9599863
OpenAlexW4296991180

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.