 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 | 13 | 13 | | 1997 | 1 | 25 | 26 | | 1998 | 0 | 18 | 18 | | 1999 | 0 | 16 | 16 | | 2000 | 0 | 29 | 29 | | 2001 | 0 | 23 | 23 | | 2002 | 0 | 38 | 38 | | 2003 | 0 | 39 | 39 | | 2004 | 0 | 55 | 55 | | 2005 | 0 | 63 | 63 | | 2006 | 0 | 55 | 55 | | 2007 | 0 | 68 | 68 | | 2008 | 0 | 96 | 96 | | 2009 | 0 | 91 | 91 | | 2010 | 0 | 55 | 55 | | 2011 | 0 | 68 | 68 | | 2012 | 0 | 56 | 56 | | 2013 | 0 | 92 | 92 | | 2014 | 0 | 72 | 72 | | 2015 | 0 | 76 | 76 | | 2016 | 0 | 86 | 86 | | 2017 | 0 | 58 | 58 | | 2018 | 0 | 55 | 55 | | 2019 | 0 | 50 | 50 | | 2020 | 0 | 36 | 36 | | 2021 | 0 | 50 | 50 | | 2022 | 0 | 23 | 23 | | 2023 | 0 | 20 | 20 | | 2024 | 6 | 23 | 29 | | 2025 | 0 | 31 | 31 | | 2026 | 0 | 5 | 5 |
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Below are the most recent publications written about "Sensitivity and Specificity" by people in Profiles.
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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 Apr 21; 335(15):1321-1331.
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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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Resch JE, Rosenblum DJ, McIndoe E, Donahue CC, Newman T, Thompson XD, Erdman NK, Walton SR, Pugh K, Broshek DK, Freeman J, MacKnight JM, Statuta SM, Barth JT. Leveraging the Enhanced Sports as a Laboratory Assessment Model to Cross-Validate a Formula Used to Predict Clinical Recovery From Concussion in Collegiate Athletes. J Athl Train. 2026 Jan; 61(1):89-101.
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Yue J, LeSon CE, Rimland CA, Brodeur K, Weng R, Hsu EE, Lam MT, Meyer M, Okada S, Hsu ALD, Alhezam MA, Perron MM, Halyabar O, Dedeoglu F, Nigrovic PA, Shimamura A, Rowe RG, Cooper MA, Vogel TP, Gillispie-Taylor M, Peterson R, Lin C, Nowicki KD, Dollerschell K, Nakano TA, Labrosse R, Cochino AV, Ioan A, Mendonca LO, Barros SF, Kalil J, Perez-Rojas J, Diaz-Kuan A, Sobel ES, Moussa T, Lee SSM, Koh LW, Khan A, Sutnga S, Khubchandani R, Shoman W, El Chazli Y, Pinto B, Kavadichanda C, Abraham RS, Sun X, Zhou Q, Naidu G, Sharma A, Esperanzate C, Kastner DL, Aksentijevich I, Kelly SJ, Hershfield M, Tarrant TK, Lee PY. Diagnostic Implications and Correlates of Plasma Adenosine Deaminase 2 Activity and ADA2 Variants. Arthritis Rheumatol. 2026 Mar; 78(3):734-742.
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Goletti D, Banaei N, Batra R, Berger AE, Blazevic A, Botelho-Nevers E, Breen R, Bruiners N, Cambau E, Carbonnelle E, Daley CL, Descotes-Genon C, Gennaro FD, Doucet-Populaire F, Esmail A, Guzman JDE, Fontana L, Gennaro ML, Handler D, Torres RMH, Hoft D, Ismail N, Isnard M, Kenny J, Lardizabal A, Lesage FX, Lopes A, Vidal WLL, Contreras RM, Manivet P, Marotte H, Méchaï F, Medjahed-Artebasse A, Meldau R, Mérieux Y, Morel J, Mougari F, Oelofse S, Palmieri F, Perrot JL, Petruccioli E, Pride DT, Tuaillon E, Upton C, Vanker N, Dheda K. Accuracy of VIDAS? TB-IGRA in TB patients and individuals with different thresholds of exposure. Int J Infect Dis. 2026 Mar; 164:108318.
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Lee LK, Ahmad FA, Browne LR, Harding M, Cook L, Adelgais K, Burger RK, Rogers A, Tzimenatos L, Riney LC, Rubalcava D, Ward CE, Yen K, Leonard JC. Comparison of Cervical Spine Injury Clinical Prediction Rules for Children After Blunt Trauma. JAMA Netw Open. 2025 Dec 01; 8(12):e2549403.
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Lihou K, McGuinness S, Morales-Aza B, Begier E, Duale K, Aldridge R, Farhoudi N, Vowles J, Thomas D, Southern J, Oliver J, Lahuerta M, Schneider K, Gessner BD, Finn A, Danon L, Hyams C. Sensitivity of RSV detection by PCR in respiratory samples is not reduced by a 24?h delay from sampling to testing with storage at room temperature. Mol Med. 2025 Nov 22; 31(1):342.
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Yavari N, Mohammadi SS, Sokol JT, Feky DE, Rajabi M, Hung JH, Or C, Elaraby O, Anover FA, Saengsirinavin AO, Akhavanrezayat A, Mobasserian A, Than NTT, Guo J, Bai Y, Yasar C, Afshari NA, Lin CC, Nguyen QD. Utilization of an automated machine learning approach for the detection of granular corneal dystrophy via slit lamp photographs. BMC Ophthalmol. 2025 Nov 22; 25(1):657.
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