 Predictive Value of Tests
"Predictive Value of Tests" 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.
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
| Descriptor ID |
D011237
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| MeSH Number(s) |
E05.318.780.800.650 N05.715.360.780.700.640 N06.850.520.445.800.650
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Predictive Value of Tests".
Below are MeSH descriptors whose meaning is more specific than "Predictive Value of Tests".
This graph shows the total number of publications written about "Predictive Value of Tests" by people in this website by year, and whether "Predictive Value of Tests" 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 |
|---|
| 1995 | 0 | 2 | 2 | | 1998 | 0 | 1 | 1 | | 2003 | 0 | 3 | 3 | | 2004 | 0 | 3 | 3 | | 2005 | 0 | 1 | 1 | | 2006 | 0 | 1 | 1 | | 2007 | 0 | 3 | 3 | | 2008 | 0 | 3 | 3 | | 2009 | 0 | 4 | 4 | | 2010 | 1 | 6 | 7 | | 2011 | 0 | 6 | 6 | | 2012 | 0 | 6 | 6 | | 2013 | 0 | 8 | 8 | | 2014 | 0 | 3 | 3 | | 2015 | 0 | 7 | 7 | | 2016 | 0 | 2 | 2 | | 2017 | 0 | 5 | 5 | | 2018 | 0 | 4 | 4 | | 2019 | 0 | 5 | 5 | | 2020 | 0 | 4 | 4 | | 2021 | 0 | 2 | 2 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 2 | 2 |
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Below are the most recent publications written about "Predictive Value of Tests" by people in Profiles.
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Bergus KC, Knaus ME, Onwuka AJ, Afrazi A, Breech L, Corkum KS, Dillon PA, Ehrlich PF, Fallat ME, Fraser JD, Gadepalli SK, Grabowski JE, Hertweck SP, Kabre R, Lal DR, Landman MP, Leys CM, Mak GZ, Markel TA, Merchant N, Overman RE, Rademacher BL, Raiji MT, Rymeski B, Sato TT, Wright T, Aldrink JH, Hewitt GD, Minneci PC, Deans KJ. Diagnostic Performance of Magnetic Resonance Imaging for Pediatric Ovarian Neoplasms: A Multi-Institutional Review. J Pediatr Adolesc Gynecol. 2024 Apr; 37(2):192-197.
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Minneci PC, Bergus KC, Lutz C, Aldrink J, Bence C, Breech L, Dillon PA, Downard C, Ehrlich PF, Fallat M, Fraser JD, Grabowski J, Helmrath M, Hertweck P, Hewitt G, Hirschl RB, Kabre R, Lal DR, Landman M, Leys C, Mak G, Markel T, Pressey J, Raiji M, Rymeski B, Saito J, Sato TT, St Peter SD, Cooper J, Deans K. Reducing Unnecessary Oophorectomies for Benign Ovarian Neoplasms in Pediatric Patients. JAMA. 2023 10 03; 330(13):1247-1254.
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Gupta P, Khare V, Srivastava A, Agarwal J, Mittal V, Sonkar V, Saxena S, Agarwal A, Jain A. A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy system. J Investig Med. 2023 10; 71(7):716-721.
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Helsel BC, Shook RP, Forseth B, Dreyer Gillette ML, Polfuss M, Miller B, Posson P, Steele R, Thyfault JP, Ptomey LT. Resting energy expenditure in adolescents with Down syndrome: a comparison of commonly used predictive equations. J Intellect Disabil Res. 2023 02; 67(2):112-122.
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Aly DM, Erickson LA, Hancock H, Apperson JW, Gaddis M, Shirali G, Goudar S. Ability of Video Telemetry to Predict Unplanned Hospital Admissions for Single Ventricle Infants. J Am Heart Assoc. 2021 08 17; 10(16):e020851.
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Caliendo ET, Kim N, Edasery D, Askin G, Nowak S, Gerber LM, Baum KT, Blackwell LS, Koterba CH, Hoskinson KR, Kurowski BG, McLaughlin M, Tlustos SJ, Watson WD, Niogi SN, Suskauer SJ, Shah SA. Acute Imaging Findings Predict Recovery of Cognitive and Motor Function after Inpatient Rehabilitation for Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study. J Neurotrauma. 2021 07 15; 38(14):1961-1968.
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Cao M, Shao X, Chan P, Cheung W, Kwan T, Pastinen T, Robaire B. High-resolution analyses of human sperm dynamic methylome reveal thousands of novel age-related epigenetic alterations. Clin Epigenetics. 2020 12 14; 12(1):192.
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Laptook AR, Shankaran S, Barnes P, Rollins N, Do BT, Parikh NA, Hamrick S, Hintz SR, Tyson JE, Bell EF, Ambalavanan N, Goldberg RN, Pappas A, Huitema C, Pedroza C, Chaudhary AS, Hensman AM, Das A, Wyckoff M, Khan A, Walsh MC, Watterberg KL, Faix R, Truog W, Guillet R, Sokol GM, Poindexter BB, Higgins RD. Limitations of Conventional Magnetic Resonance Imaging as a Predictor of Death or Disability Following Neonatal Hypoxic-Ischemic Encephalopathy in the Late Hypothermia Trial. J Pediatr. 2021 03; 230:106-111.e6.
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Theken KN, Lee CR, Gong L, Caudle KE, Formea CM, Gaedigk A, Klein TE, Ag?ndez JAG, Grosser T. Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2C9 and Nonsteroidal Anti-Inflammatory Drugs. Clin Pharmacol Ther. 2020 08; 108(2):191-200.
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Milea D, Najjar RP, Zhubo J, Ting D, Vasseneix C, Xu X, Aghsaei Fard M, Fonseca P, Vanikieti K, Lagr?ze WA, La Morgia C, Cheung CY, Hamann S, Chiquet C, Sanda N, Yang H, Mejico LJ, Rougier M-B, Kho R, Thi Ha Chau T, Singhal S, Gohier P, Clermont-Vignal C, Cheng C-Y, Jonas JB, Yu-Wai-Man P, Fraser CL, Chen JJ, Ambika S, Miller NR, Liu Y, Newman NJ, Wong TY, Biousse V. Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs. N Engl J Med. 2020 04 30; 382(18):1687-1695.
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