Title
Evaluation of diagnostic accuracy using routine laboratory parameters
Authors
Trushna Shah1, Anand Chauhan2, Shyama Manojkumar Chag3 & Kirti Nishant Vyas4,*
Affiliation
1Department of Biochemistry, Smt BK Shah Medical Institute and Research Center, Sumandeep Vidyapeeth Deemed to be University, Waghodia, Vadodara, Gujarat, India; 2Department of Pathology, CU Shah Medical College, Surendranagar, Gujarat, India; 3Department of Pathology, Pramukh Swami Medical College, Bhaikaka University, Karamsad, Gujarat, India; 4Department of Pathology, Dr ND Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, Gujarat, India; *Corresponding author
Trushna Shah - E-mail: tks1184@gmail.com
Anand Chauhan - E-mail: dyspanandchauhan72@gmail.com
Shyama Manojkumar Chag - E-mail: chagshyama@gmail.com
Kirti Nishant Vyas - E-mail: kirtimdpathology@gmail.com
Article Type
Research Article
Date
Received February 1, 2026; Revised February 28, 2026; Accepted February 28, 2026, Published February 28, 2026
Abstract
Early disease detection remains challenging in clinical practice, often leading to delayed diagnosis and poorer health outcomes. Therefore, it is of interest to evaluate the diagnostic accuracy of routine laboratory parameters for early disease detection among 486 adults attending a tertiary care hospital between January 2023 and December 2024. Standard laboratory investigations including complete blood count, metabolic panel, liver and kidney function tests and inflammatory markers were analyzed against confirmed diagnostic outcomes using sensitivity, specificity, predictive values and receiver operating characteristic analysis. Combined laboratory panels demonstrated significantly higher diagnostic accuracy (AUC = 0.847) than individual parameters, with inflammatory markers showing the highest sensitivity (82.4%) and the neutrophil-to-lymphocyte ratio providing the best sensitivity-specificity balance. Integration of multiple routine laboratory parameters may therefore offer a cost-effective and practical strategy for improving early disease detection in diverse healthcare settings.
Keywords
Diagnostic accuracy, laboratory parameters, early detection, screening, sensitivity, specificity
Citation
Shah et al. Bioinformation 22(2): 683-688 (2026)
Edited by
Hiroj Bagde
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
