Evidence map›Paper›PMID 36567980›Full record

ArticlePathology oncology research : POR2022

20 abnormal metabolites of Stage IV Grade C periodontitis was discovered by CPSI-MS.

Li-Jun Wang, Liu Liu, Wei Ju, Wen-Xin Yao, Xi-Hu Yang, Wen-Hao Qian

Open access · goldAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2022. 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
0.8field-weighted citation impact, top 28% 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, 5 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Li-Jun WangDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, China.
Liu LiuDepartment of Oral and Maxillofacial-Head & Neck Oncology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wei JuDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Wen-Xin YaoDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, China.
Xi-Hu YangDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Wen-Hao QianDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saliva is a noninvasive biofluid that contains the metabolic signature of severe periodontitis (SP, Stage IV and Grade C). Conductive polymer spray ionization mass spectrometry (CPSI-MS) was used to record a wide range of metabolites within a few seconds, making this technique a promising point-of-care method for the early detection of SP (Stage IV and Grade C). Saliva samples from 31 volunteers, consisting of 16 healthy controls (HC) and 15 patients with SP (Stage IV and Grade C), were collected to identify dysregulated metabolites. Twenty metabolites were screened out, including seven amino acids. Moreover, the results showed that amino acid metabolism is closely related to the development of periodontitis. The present study further confirmed that salivary metabolites in the oral cavity were significantly altered after plaque removal. These results suggest that the combination of CPSI-MS is a feasible tool for preclinical screening of SP (Stage IV and Grade C).

Indexed as

PeriodontitisPolymersHumansMass SpectrometrySalivaPolymersconducting polymer spray ionizationmetabolomicspoint-of-care testsaliva metabolomicssevere periodontitis (Stage IV and Grade C)

Identifiers

PMID36567980
PMCPMC9768691
OpenAlexW4311730176

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.