title: [Method of predicting malignant neoplasm development in machinery construction workers].
abstract: The authors predicted probability of malignances in workers engaged into machinery construction, using interleukins 1, 6 and TNF contents in saliva. The article covers formula to calculate local immunity coefficient, that helps to judge about presence or absence of malignancies risk.
authors.forename: I D
authors.initials: ID
authors.lastname: Sitdikova
authors.forename: M K
authors.initials: MK
authors.lastname: Ivanova
authors.forename: I K
authors.initials: IK
authors.lastname: Vaziev
authors.forename: D E
authors.initials: DE
authors.lastname: Matveev
mesh_terms: D000395:Air Pollutants, Occupational / Q000633:toxicity*; D006801:Humans; D007375:Interleukin-1 / Q000032:analysis; D015850:Interleukin-6 / Q000032:analysis; D008669:Metallurgy; D009369:Neoplasms / Q000139:chemically induced / Q000175:diagnosis* / Q000276:immunology; D009784:Occupational Diseases / Q000139:chemically induced / Q000175:diagnosis* / Q000276:immunology; D016273:Occupational Exposure / Q000009:adverse effects*; D011237:Predictive Value of Tests; D012426:Russia; D012463:Saliva / Q000737:chemistry; D014409:Tumor Necrosis Factor-alpha / Q000032:analysis
chemical_list: D000395:Air Pollutants, Occupational; D007375:Interleukin-1; D015850:Interleukin-6; D014409:Tumor Necrosis Factor-alpha