Evidence map›Paper›PMID 32230883›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives.

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

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. BreathERJ open research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Molecular biomarkers in early stage lung cancer.Translational lung cancer research · 2021
    Review
  17. Salivary Biomarkers in Lung Cancer.Mediators of inflammation · 2021
    Review
  18. Article
  19. 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

4 authors.

Lyudmila V Bel'skayaLaboratory of biochemistry, Omsk State Pedagogical University, 14, Tukhachevsky str, Omsk 644043, Russia.ORCID 0000-0002-6147-4854
Elena A SarfLaboratory of biochemistry, Omsk State Pedagogical University, 14, Tukhachevsky str, Omsk 644043, Russia.
Victor K KosenokDepartment of Oncology, Omsk State Medical University, 12, Lenina str, Omsk 644099, Russia.
Ivan A GundyrevLLC Bookmate, 7, Tsvetnoy bul'var str, Moscow 127051, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the work is to study the metabolic characteristics of saliva in lung cancer for use in early diagnosis and determining the prognosis of the disease. The patient group included 425 lung cancer patients, 168 patients with non-cancerous lung diseases, and 550 healthy volunteers. Saliva samples were collected from all participants in the experiment before treatment and 34 biochemical saliva parameters were determined. Participants were monitored for six years to assess survival rates. The statistical analysis was performed by means of Statistica 10.0 (StatSoft) program and R package (version 3.2.3). To construct the classifier, the Random Forest method was used; the classification quality was assessed using the cross-validation method. Prognostic factors were analyzed by multivariate analysis using Cox's proportional hazard model in a backward step-wise fashion to adjust for potential confounding factors. A complex of metabolic changes occurring in saliva in lung cancer is described. Seven biochemical parameters were identified (catalase, triene conjugates, Schiff bases, pH, sialic acids, alkaline phosphatase, chlorides), which were used to construct the classifier. The sensitivity and specificity of the method were 69.5% and 87.5%, which is practically not inferior to the diagnostic characteristics of markers routinely used in the diagnosis of lung cancer. Significant independent factors in the poor prognosis of lung cancer are imidazole compounds (ICs) above 0.478 mmol/L and salivary lactate dehydrogenase activity below 545 U/L. Saliva has been shown to have great potential for the development of diagnostic and prognostic tests for lung cancer.

Indexed as

biochemical markersdiagnosticslung canceroncologyprognostic markerssaliva

Identifiers

PMID32230883
PMCPMC7235830

What OpenQuestion holds

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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.