 Sensitivity and Specificity
"Sensitivity and Specificity" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
| Descriptor ID |
D012680
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| MeSH Number(s) |
E05.318.740.872 E05.318.780.800 G17.800 N05.715.360.750.725 N05.715.360.780.700 N06.850.520.445.800 N06.850.520.830.872
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Sensitivity and Specificity".
Below are MeSH descriptors whose meaning is more specific than "Sensitivity and Specificity".
This graph shows the total number of publications written about "Sensitivity and Specificity" by people in this website by year, and whether "Sensitivity and Specificity" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 12 | 12 | | 1997 | 1 | 23 | 24 | | 1998 | 0 | 17 | 17 | | 1999 | 0 | 17 | 17 | | 2000 | 0 | 29 | 29 | | 2001 | 0 | 22 | 22 | | 2002 | 0 | 36 | 36 | | 2003 | 0 | 39 | 39 | | 2004 | 0 | 54 | 54 | | 2005 | 0 | 63 | 63 | | 2006 | 0 | 56 | 56 | | 2007 | 0 | 68 | 68 | | 2008 | 0 | 96 | 96 | | 2009 | 0 | 91 | 91 | | 2010 | 0 | 54 | 54 | | 2011 | 0 | 68 | 68 | | 2012 | 0 | 57 | 57 | | 2013 | 0 | 91 | 91 | | 2014 | 0 | 73 | 73 | | 2015 | 0 | 76 | 76 | | 2016 | 0 | 89 | 89 | | 2017 | 0 | 58 | 58 | | 2018 | 0 | 54 | 54 | | 2019 | 0 | 50 | 50 | | 2020 | 0 | 36 | 36 | | 2021 | 0 | 51 | 51 | | 2022 | 0 | 23 | 23 | | 2023 | 0 | 21 | 21 | | 2024 | 6 | 23 | 29 | | 2025 | 0 | 34 | 34 | | 2026 | 0 | 12 | 12 |
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Below are the most recent publications written about "Sensitivity and Specificity" by people in Profiles.
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West M, LoGrasso O, Roberts R. Improved Diagnostic Tools to Reliably Detect Modern Wheat Mosaic Virus Isolates. Plant Dis. 2026 Jun; 110(6):2477-2486.
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Leseman CA, Bonomi AM, Schuitema J, Granieri S, Sällberg Chen M, Maker AV, Ateeb Z, Wood LD, Voermans RP, Marchegiani G, Del Chiaro M, Ket JCF, Lennon AM, Besselink MG. Serum CA19.9 for Detecting High-Grade Dysplasia and Invasive Carcinoma in Patients With Intraductal Papillary Mucinous Neoplasm: A Systematic Review and Meta-Analysis. JAMA Netw Open. 2026 Jun 01; 9(6):e2617587.
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Krajewski KT, Hornfeck M, Sanders JS. A Modified Keshishyan Index Demonstrates Three-dimensional Assessment of Asymmetry in Pediatric Pelvic Fractures. Orthopedics. 2026 May-Jun; 49(3):e242-e247.
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Rhee C, Balamuth F, Dysart K, Miller E, Li Z, Huang J, Gunturi D, Ostapenko S, Jin R, DelloStritto L, Guy J, Poland R, Sands K, Bennett TD, Scott HF, Alpern ER, Sanchez-Pinto LN, Russell S, DeWitt PE, Rebull MN, Gray C, Daniels L, Otto S, Carter C, Cook LJ, Tsemberis E, Jordan JT, Kapes J, Tunick R, Kadri SS, Badesch BL, Chen HC, Klompas M, Weiss SL. National Estimates of Pediatric Sepsis in US Hospitals Using Clinical Data. JAMA. 2026 04 21; 335(15):1321-1331.
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Kuperman R, Blanco NJ, Buchhalter J, Kessler S, Knupp K, Lin N, Kremer K, Aungaroon G. Novel Smartphone-Based Screening Tool for Absence Seizures in Pediatric Settings: A Comparative Study With Video EEG. Pediatr Neurol. 2026 Jul; 180:52-58.
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Middlebrooks EH, Lin C, Pooley RA, Spangler-Bickell MG, Smith A, Litwiller D, Patel V, Cai Y, Gupta V, Soni N. Feasibility of MR-Guided PET Reconstruction in Detection of Focal Cortical Dysplasia. AJNR Am J Neuroradiol. 2026 Apr 02; 47(4):1061-1064.
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Shashi KK, Johnston P, Bixby SD, Bachur RG, Rangel S, Callahan MJ. Equivocal MRI findings of suspected acute appendicitis in children and young adults: utilization of novel 5-component scoring system for improving diagnostic accuracy. Emerg Radiol. 2026 Apr; 33(2):217-228.
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Conderino S, Kirchner HL, Thorpe LE, Divers J, Hirsch AG, Nordberg CM, Schwartz BS, Zhang L, Cai B, Rudisill C, Obeid JS, Liese A, Allen KS, Dixon BE, Crume T, Dabelea D, Burgett S, Bellatorre A, Shao H, Bian J, Guo Y, Bost S, Lyu T, Reynolds K, Mefford MT, Zhou H, Zhou M, Lustigova E, Utidjian LH, Maltenfort M, Kamboj M, Mendonca EA, Hanley P, Zaganjor I, Pavkov ME, Rosenman M, Titus AR. Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes-a DiCAYA Network analysis. J Am Med Inform Assoc. 2026 Mar 01; 33(3):710-718.
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Jia X, Zhang C, Waugh K, Miao D, Michels AW, Rewers MJ, Yu L. Identifying Insulin Autoantibodies With Differential Risk in Type 1 Diabetes With a Novel Bridging ELISA. Diabetes. 2026 Mar 01; 75(3):519-525.
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Ho EC, Liu Y, Olson KE, Asturias EJ, Butler M, Simmons D, Dominguez SR. Comparative study of plasma microbial cell-free DNA sequencing to culture and polymerase chain reaction in pediatric community-acquired pneumonia with parapneumonic effusion or empyema. J Clin Microbiol. 2026 Mar 11; 64(3):e0121625.
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