 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 | 4 | 4 | | 1996 | 0 | 6 | 6 | | 1997 | 0 | 10 | 10 | | 1998 | 0 | 11 | 11 | | 1999 | 0 | 14 | 14 | | 2000 | 0 | 13 | 13 | | 2001 | 0 | 13 | 13 | | 2002 | 0 | 15 | 15 | | 2003 | 0 | 32 | 32 | | 2004 | 1 | 37 | 38 | | 2005 | 1 | 39 | 40 | | 2006 | 1 | 40 | 41 | | 2007 | 1 | 42 | 43 | | 2008 | 2 | 64 | 66 | | 2009 | 1 | 65 | 66 | | 2010 | 1 | 72 | 73 | | 2011 | 0 | 75 | 75 | | 2012 | 0 | 69 | 69 | | 2013 | 0 | 76 | 76 | | 2014 | 1 | 74 | 75 | | 2015 | 0 | 103 | 103 | | 2016 | 1 | 64 | 65 | | 2017 | 1 | 56 | 57 | | 2018 | 0 | 66 | 66 | | 2019 | 0 | 67 | 67 | | 2020 | 1 | 52 | 53 | | 2021 | 0 | 42 | 42 | | 2022 | 1 | 23 | 24 | | 2023 | 0 | 11 | 11 | | 2024 | 3 | 4 | 7 |
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Below are the most recent publications written about "Predictive Value of Tests" by people in Profiles.
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Schäfer M, Di Maria MV, Stone ML, Barker AJ, Carmody KK, Reece TB, Ivy DD, Jaggers J, Mitchell MB. Principal component analysis identified neo-aortic diameter variations post Norwood surgery associated with the single ventricle performance and flow quality. Int J Cardiovasc Imaging. 2024 Dec; 40(12):2603-2616.
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Fujiwara T, Malone LJ, Chatfield KC, Berthusen A, Fonseca B, Browne LP, Barker AJ. Assessment of abnormal transvalvular flow and wall shear stress direction for pediatric/young adults with bicuspid aortic valve: A cross-sectional four-dimensional flow study. J Cardiovasc Magn Reson. 2024 Winter; 26(2):101102.
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Soszyn N, Shorofsky M, Franco SR, Zablah JE, Morgan GJ. Computed tomography-derived normative values and z-scores of the pulmonary valve annulus and sino-tubular junction in the pediatric population. J Cardiovasc Comput Tomogr. 2024 Sep-Oct; 18(5):489-493.
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Schulick AC, Moore HB, Franco SR, Jiang JG, Edil BH, Schulick RD, Nydam TL, McCarter MD, Del Chiaro M, Gleisner A. Gaining a new angle on pancreas cancer: A pre-operative thrombelastographic parameter predicts recurrence and survival among patients with resected periampullary and pancreatic adenocarcinoma. Am J Surg. 2024 Dec; 238:115820.
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Humphries SM, Thieke D, Baraghoshi D, Strand MJ, Swigris JJ, Chae KJ, Hwang HJ, Oh AS, Flaherty KR, Adegunsoye A, Jablonski R, Lee CT, Husain AN, Chung JH, Strek ME, Lynch DA. Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes. Am J Respir Crit Care Med. 2024 05 01; 209(9):1121-1131.
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Rydin AA, Severn C, Pyle L, Morelli N, Shoemaker AH, Chung ST, Yanovski JA, Han JC, Higgins JA, Nadeau KJ, Fox C, Kelly AS, Cree MG. Prediction of resting energy expenditure for adolescents with severe obesity: A multi-centre analysis. Pediatr Obes. 2024 Jul; 19(7):e13123.
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Hughes B, Kriss M, Rice J. Letter to the Editor: Coronary CT angiography for predicting early post-liver transplant MACE: Paradigm shift or part of the calculus? Liver Transpl. 2024 Aug 01; 30(8):E32-E33.
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Larson PEZ, Tang S, Liu X, Sinha A, Dwork N, Sivalokanathan S, Liu J, Bok R, Ordovas KG, Slater J, Gordon JW, Abraham MR. Regional quantification of cardiac metabolism with hyperpolarized [1-13C]-pyruvate CMR evaluated in an oral glucose challenge. J Cardiovasc Magn Reson. 2023 12 14; 25(1):77.
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Olawoye OO, Ha TH, Pham N, Nguyen L, Cherwek DH, Fowobaje KR, Ross C, Coote M, Chan VF, Kahook M, Peto T, Azuara-Blanco A, Congdon N. Impact of a short online course on the accuracy of non-ophthalmic diabetic retinopathy graders in recognising glaucomatous optic nerves in Vietnam. BMJ Open. 2023 11 09; 13(11):e076623.
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Koons EK, Rajiah PS, Thorne JE, Weber NM, Kasten HJ, Shanblatt ER, McCollough CH, Leng S. Coronary artery stenosis quantification in patients with dense calcifications using ultra-high-resolution photon-counting-detector computed tomography. J Cardiovasc Comput Tomogr. 2024 Jan-Feb; 18(1):56-61.
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