ROC analysis of prepartum feeding time can accurately predict postpartum metritis development in HF crossbred cows

Patbandha, T.K.; Mohanty, T.K.; Layek, S. S.; Kumaresan, A.; Kantwa, S.C.; Malhotra, R.; Ruhil, A. P.; Prasad, Shiv

doi:10.1016/j.jveb.2013.05.001

Cited by 11 publications

(14 citation statements)

References 13 publications

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“…Further, milk lactose was analyzed by ROC analysis using Sigmaplot 11 software package (Systat software, Inc, California, USA) to see the accuracy of the test as indicated by AUC and for the development of optimum threshold value along with their corresponding sensitivity (Se), specificity (Sp) and positive likelihood ratio (LR+) value. Though, ROC analysis produces range of potential threshold values of a diagnostic indicator, the value having highest combines Se and Sp is called as optimum threshold value of that indicator (Patbandha et al, 2012(Patbandha et al, , 2013. The AUC of ROC analysis produces a 2-dimensional graph where Se and 1-Sp are plotted in Y-axis and X-axis, respectively; which measures the accuracy of diagnostic indicators.…”

Section: Discussionmentioning

confidence: 99%

“…The AUC of ROC analysis produces a 2-dimensional graph where Se and 1-Sp are plotted in Y-axis and X-axis, respectively; which measures the accuracy of diagnostic indicators. Accuracy of diagnostic indicator is said to be non-discriminative or non-informative if AUC is 0.5 (i.e., 50% Se and 50% Sp) and perfect if AUC is 1 (i.e., 100% Se and 100% Sp) (Fan et al, 2006); less accurate if AUC is 0.5-0.7, moderately accurate if AUC is 0.7-0.9 and highly accurate if AUC is 0.9-1.0 (Patbandha et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…The Se was defined as the proportion of mastitic milk samples that had milk lactose below the threshold value [(TP)/(TP + FN)] and Sp as the proportion of normal milk samples that had milk lactose above the threshold value [(TN)/(TN + FP)]. Further, the Se and Sp together defined the LR+ value; where, LR+ was the number of times a sample that had milk lactose below the threshold value as likely come from infected quarters [LR+ = Se/(1-Sp)] (Peterson et al, 2008;Patbandha et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Since, then it has been used for the evaluation of accuracy of clinical laboratory diagnostic tests as well as diagnostic indicators or markers for classification of diseased and non diseased cases (Hughes and Bhattacharya, 2013). Additionally, it is being used for development of optimum threshold value of diagnostic indicators in medical and veterinary sciences (Fan et al, 2006;Hughes and Bhattacharya, 2013;Patbandha et al, 2012Patbandha et al, , 2013. The ROC analysis is considered as a simple statistical tool used to characterize a diagnostic variable in terms of area under a ROC curve (AUC) and further provides range of potential threshold values along with their corresponding Sensitivity (Se), Specificity (Sp) and positive likelihood ratio (LR+) values (Patbandha et al, 2012(Patbandha et al, , 2013.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, it is being used for development of optimum threshold value of diagnostic indicators in medical and veterinary sciences (Fan et al, 2006;Hughes and Bhattacharya, 2013;Patbandha et al, 2012Patbandha et al, , 2013. The ROC analysis is considered as a simple statistical tool used to characterize a diagnostic variable in terms of area under a ROC curve (AUC) and further provides range of potential threshold values along with their corresponding Sensitivity (Se), Specificity (Sp) and positive likelihood ratio (LR+) values (Patbandha et al, 2012(Patbandha et al, , 2013. Milk constitutes major components such as fat, protein and lactose which are most important to the dairy farmers, producers and consumers (Reis et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Receiver operating characteristic analysis of milk lactosefor identification of mastitis in buffaloes

Patbandha

Ravikala

Maharana

et al. 2016

IJAR

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Receiver operating characteristic (ROC) analysis is a simple statistical tool used to classify a diagnostic indicator in terms of area under a ROC curve (AUC) and to develop potential threshold values of a diagnostic indicator. Milk lactose was analyzed by ROC analysis to see its accuracy to discriminate infected and healthy udder quarters, and to develope an optimum threshold value along with corresponding sensitivity (Se), specificity (Sp) and positive likelihood ratio (LR+) value. Data for the present study comprised of 1516 milk samples collected from Jaffrabadi buffaloes. Milk lactose was estimated by milk analyzer 'LACTOSCAN' and further samples were checked for sub-clinical mastitis by California mastitis test (CMT). The threshold values of milk lactose for identification of moderate and severe infection were found to be 5.31g% (Se, 58.82%; Sp, 58.28%) and 5.23g% (Se, 70.97%; Sp, 64.41%), respectively by ROC analysis. Milk samples with lactose content below 5.31g% were 1.41 times more likely come from moderately infected quarters (LR+ = 1.41); whereas, below 5.23g% were 1.99 times more likely come from severely infected quarters (LR+ = 1.99). The overall accuracy of milk lactose for discrimination of normal quarters from moderately infected quarters was 64% (AUC=0.64) and from severely infected quarters was 72% (AUC=0.72) (P<0.001). Thus, the present study indicated that milk lactose classified mastitic and healthy udder quarters in Jaffrabadi buffaloes with moderate accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%