{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T17:05:14Z","timestamp":1790874314970,"version":"4.1.0"},"reference-count":25,"publisher":"American Veterinary Medical Association (AVMA)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ajvr"],"published-print":{"date-parts":[[2026,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"sc_a1\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To estimate the sensitivity and specificity of eye temperature (ET) and rectal temperature (RT) for detecting abnormal temperature in dogs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sc_a2\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This single-shelter observational study enrolled dogs without clinical ocular disease. Tests were dichotomized using prespecified reference intervals. A hierarchical Bayesian latent-class model included 2 subpopulations (puppy and adult), dog-level random intercept, and between-test dependence terms. Posterior draws estimated predictive values across pretest probabilities, and prior sensitivity analysis was conducted to evaluate the robustness of the results.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sc_a3\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Utilizing 238 visit-level observations from 121 dogs (89 puppy visits; 149 adult visits), both tests demonstrated high specificity but low-to-moderate sensitivity. Posterior median sensitivities were 0.40 for ET and 0.32 for RT, while specificities were 0.94 for ET and 0.99 for RT. The parallel rule (OR [any positive]) maximized negative predictive value, whereas the series rule (AND [both positive]) maximized positive predictive value across observed prevalences.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sc_a4\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Ocular thermography and rectal thermometry demonstrated similar diagnostic performance. For both tests, given that the dog has an abnormal core body temperature, the reading is more likely to be wrong. Given the dog has a normal core body temperature, the reading is likely to be correct. Abnormal temperature readings can inform clinical judgement about the likelihood that the dog\u2019s core temperature is abnormal. However, normal readings are not informative about what was already known based on clinical judgment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sc_a5\">\n                    <jats:title>Clinical Relevance<\/jats:title>\n                    <jats:p>Abnormal results from either test increase the probability of abnormal body temperature, whereas normal readings should not override clinical suspicion of abnormal temperature status.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2460\/ajvr.26.04.0185","type":"journal-article","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T12:13:06Z","timestamp":1783339986000},"source":"Crossref","is-referenced-by-count":0,"title":["Ocular thermography and rectal thermometry show similar diagnostic performance for detecting abnormal body temperature in dogs"],"prefix":"10.2460","volume":"87","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1023-0840","authenticated-orcid":true,"given":"Sahar","family":"Rostami","sequence":"first","affiliation":[{"name":"Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9654-6070","authenticated-orcid":true,"given":"Kimberly A.","family":"Woodruff","sequence":"additional","affiliation":[{"name":"Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abigail","family":"McBride","sequence":"additional","affiliation":[{"name":"Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8547-7486","authenticated-orcid":true,"given":"David R.","family":"Smith","sequence":"additional","affiliation":[{"name":"Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1272","reference":[{"key":"B1","series-title":"Data Analysis Using Regression and Multilevel\/Hierarchical Models","author":"Gelman A","year":"2007","unstructured":"Gelman A, Hill J. 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Dog echinococcosis in northern Spain: comparison of coproantigen and serum antibody assays with coprological exam. Vet Parasitol. 2006;142(1):102\u2013111. doi:10.1016\/j.vetpar.2006.06.011"},{"issue":"14","key":"B6","series-title":"Intl J Parasitol","first-page":"1517","article-title":"Estimating sensitivity and specificity of a faecal examination method for Schistosoma japonicum infection in cats, dogs, water buffaloes, pigs, and rats in Western Samar and Sorsogon Provinces, the Philippines","volume":"35","author":"Carabin H","year":"2005","unstructured":"Carabin H, Balolong E, Joseph L, et al. Estimating sensitivity and specificity of a faecal examination method for Schistosoma japonicum infection in cats, dogs, water buffaloes, pigs, and rats in Western Samar and Sorsogon Provinces, the Philippines. Intl J Parasitol. 2005;35(14):1517\u20131524. doi:10.1016\/j.ijpara.2005.06.010"},{"issue":"1","key":"B7","series-title":"Biometrics","first-page":"167","article-title":"Estimating the error rates of diagnostic tests","volume":"36","author":"Hui SL","year":"1980","unstructured":"Hui SL, Walter SD. Estimating the error rates of diagnostic tests. Biometrics. 1980;36(1):167\u2013171. doi:10.2307\/2530508"},{"issue":"1","key":"B8","series-title":"Prevent Vet Med","first-page":"19","article-title":"Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard","volume":"68","author":"Toft N","year":"2005","unstructured":"Toft N, J\u00f8rgensen E, H\u00f8jsgaard S. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard. Prevent Vet Med. 2005;68(1):19\u201333. doi:10.1016\/j.prevetmed.2005.01.006"},{"issue":"4","key":"B9","series-title":"Biometrics","first-page":"959","article-title":"The effect of conditional dependence on the evaluation of diagnostic tests","volume":"41","author":"Vacek PM","year":"1985","unstructured":"Vacek PM. The effect of conditional dependence on the evaluation of diagnostic tests. Biometrics. 1985;41(4):959\u2013968. doi:10.2307\/2530967"},{"issue":"466","key":"B10","series-title":"J Am Stat Assoc","first-page":"537","article-title":"Parameterization and Bayesian modeling","volume":"99","author":"Gelman A","year":"2004","unstructured":"Gelman A. Parameterization and Bayesian modeling. J Am Stat Assoc. 2004;99(466):537\u2013545. doi:10.1198\/016214504000000458"},{"issue":"3","key":"B11","series-title":"Multivariate Behav Res","first-page":"430","article-title":"Bayesian latent class analysis tutorial","volume":"53","author":"Li Y","year":"2018","unstructured":"Li Y, Lord-Bessen J, Shiyko M, Loeb R. Bayesian latent class analysis tutorial. Multivariate Behav Res. 2018;53(3):430\u2013451. doi:10.1080\/00273171.2018.1428892"},{"issue":"4","key":"B12","series-title":"Stat Comp","first-page":"325","article-title":"WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility","volume":"10","author":"Lunn DJ","year":"2000","unstructured":"Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comp. 2000;10(4):325\u2013337. doi:10.1023\/A:1008929526011"},{"key":"B13","author":"Plummer M","year":"2003","unstructured":"Plummer M. 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Preprint posted online April 14, 2026. doi:10.21203\/rs.3.rs-9372827\/v1"},{"issue":"13","key":"B16","series-title":"Animals (Basel)","first-page":"1970","article-title":"Calculation of a reference interval for rectal temperature in adult dogs presenting for veterinary care using an algorithm for mixed data","volume":"14","author":"Dorn E","year":"2024","unstructured":"Dorn E, Bogedale K, Pankraz A, Neiger R. Calculation of a reference interval for rectal temperature in adult dogs presenting for veterinary care using an algorithm for mixed data. Animals (Basel). 2024;14(13):1970. doi:10.3390\/ani14131970"},{"issue":"1","key":"B17","series-title":"Biometrics","first-page":"158","article-title":"Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests","volume":"57","author":"Dendukuri N","year":"2001","unstructured":"Dendukuri N, Joseph L. Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics. 2001;57(1):158\u2013167. doi:10.1111\/j.0006-341X.2001.00158.x"},{"issue":"9","key":"B18","series-title":"Ecosphere","first-page":"1","article-title":"Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution","volume":"12","author":"Wesner JS","year":"2021","unstructured":"Wesner JS, Pomeranz JPF. Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution. Ecosphere. 2021;12(9):1\u201311. doi:10.1002\/ecs2.3739"},{"key":"B19","author":"Plummer M","year":"2025","unstructured":"Plummer M, Stukalov A, Denwood M. rjags: Bayesian Graphical Models using MCMC. 2025. 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