Evidence map›Paper›PMID 32095426›Full record

ArticleJournal of oral biology and craniofacial research

Age and gender characteristics of the biochemical composition of saliva: Correlations with the composition of blood plasma.

Lyudmila V Bel'skaya, Elena A Sarf, Victor K Kosenok

Abstract read
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Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

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20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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  6. Human Serum and Salivary Metabolomes: Diversity and Closeness.International journal of molecular sciences · 2023
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  7. Review
  8. Review
  9. Article
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  12. Article
  13. Article
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  16. Saliva pH and Flow Rate in Patients with Periodontal Disease and Associated Cardiovascular Disease.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  17. Article
  18. Review
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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

3 authors.

Lyudmila V Bel'skayaBiochemistry Research Laboratory, Omsk State Pedagogical University, 14, Tukhachevsky str, Omsk, 644043, Russia.
Elena A SarfBiochemistry Research Laboratory, Omsk State Pedagogical University, 14, Tukhachevsky str, Omsk, 644043, Russia.
Victor K KosenokChair of Oncology with Radiotherapy, Omsk State Medical Academy, 12, Lenina str, Omsk, 644099, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the attention of researchers to the study of the properties of human saliva, as a material with unique properties and diagnostic capabilities, has increased. RESEARCH

objectiveto study the connection of the biochemical composition of saliva and blood plasma in the norm, depending on gender and age.

methods107 volunteers took part in the study, including 46 female (37.2 ± 3.9 years old) and 61 male (36.1 ± 2.8 years old). In all samples of saliva and blood plasma, 16 biochemical parameters were determined, including mineral and protein composition, enzyme activity. Non-parametric statistical methods were used to process the data.

resultsIt has been shown that it is difficult to establish an unambiguous relation between biochemical parameters of saliva and blood plasma. The calculation of the Spearman correlation coefficients showed that only 7 of the 16 parameters demonstrate the presence of a weak correlation between the content in saliva and plasma.

conclusionIn general, the determination of the composition of saliva may have an independent diagnostic value; in this case, drawing a parallel with the composition of serum and blood plasma is not advisable. Nevertheless, the use of saliva in clinical laboratory diagnostics is associated with the need to establish criteria for the norm and pathology for each biochemical parameter.

Indexed as

AgeBiochemical compositionBlood plasmaCorrelationsGenderSaliva

Identifiers

PMID32095426
PMCPMC7033596

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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.