Significance of Positive predictive value
Synonyms: Predictive accuracy, True positive rate, Precision, Ppv
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Positive predictive value in scientific sources
From: The Malaysian Journal of Medical Sciences
(1) This is the probability that a patient has a disease, given a positive test result, which is lower for NPs.[1] (2) The probability that a patient with a positive test result actually has the disease, and it is used in the evaluation of diagnostic tests.[2] (3) This indicates the likelihood that a person with a positive test result actually has the condition, which was evaluated for transcutaneous bilirubin.[3] (4) At an optimal cut-off point of 9/10, the instrument was able to detect 100% of those with postpartum depression with this of approximately 89.15%.[4] (5) This is a measure of the probability that individuals with a positive test result, such as the PCT, truly have the condition being tested for, such as neonatal sepsis.[5]
From: South African Journal of HIV Medicine
(1) These are the values of the different adherence assessment methods used of caregivers’ report, clinic attendance and biological outcomes, which were calculated.[6] (2) This is the probability that a person with a positive test result actually has the disease, and it is affected by the specificity of the test and the prevalence of the disease in the population.[7] (3) This is a statistical measure that indicates the probability that a person with a positive test result actually has the condition, and the study calculated this value for the modified HDS to assess its accuracy in identifying cognitive impairment in HIV-positive patients.[8] (4) This refers to the probability that a patient with a positive test result actually has the disease, which is important.[9] (5) This is a measure of how likely a positive test result correctly identifies a condition, and the suicide risk screening scale had a positive predictive value of 48% at baseline.[10]
From: South African Family Practice
(1) This is the probability that individuals who test positive for a condition, like intimate partner violence, actually have the condition, and it is used to assess the accuracy of a screening tool.[11] (2) PPV is the probability that a patient has microalbuminuria if the test result is positive, and the study calculates this value for the HemoCue and Clinitek systems, and this is to see how good the tests are.[12] (3) This is a measure that indicates the probability that patients with a positive test result actually have the disease, and it was calculated at different cut-offs for the free prostate-specific antigen ratio.[13] (4) The text mentions the positive predictive value, suggesting it is a calculation that needs to be remembered for accurate medical interpretations.[14] (5) Positive predictive value refers to the probability that a positive test result accurately indicates the presence of the condition being tested for.[15]
From: African Journal of Primary Health Care and Family Medicine
(1) The likelihood that a person with the disease will test positive, which was 75% in this study, and indicating the test's capacity to confirm malaria.[16] (2) Positive predictive values indicate the probability that a patient with a positive test result actually has the disease, which is dependent on prevalence.[17] (3) This value is a measure of the accuracy of a test, specifically how well a positive test result correctly identifies the presence of a condition, and it was calculated for both sputum volumes.[18] (4) This is the ability that the Zulu PEDS has to correctly identify referrals, and was determined to be 92% for outcome 1 in this study.[19] (5) This is a value of screening questions, and the low value usually brings the value of screening into question, and it can be improved.[20]
From: Journal of Public Health in Africa
(1) This is the probability that a person with a positive test result actually has the disease, and is one of the factors used to assess the reliability of a diagnostic test for typhoid fever.[21] (2) This value, along with the negative predictive value, is an extrinsic performance indicator used to assess the SD Bioline HAT for detecting serological cases of HAT.[22] (3) In diagnostics, it is important to have a high value, and in cervical cancer prevention, the different technologies available have quite dissimilar values for detecting a histologically confirmed CIN 2+ condition.[23]
From: International Journal of Pharmacology
(1) This value, measured at 98.33%, indicates the high probability that a positive BDG test result correctly predicts a PFI.[24] (2) A measure of diagnostic accuracy that indicates the likelihood that a positive test result correctly identifies the condition.[25] (3) A measure of diagnostic test performance, which can be improved by combining GM and BG tests.[26]
From: South African Journal of Physiotherapy
(1) This is the probability that an infant has a gross motor impairment, which provides information about the study cohort and is more relevant than sensitivity and specificity when screening young infants.[27]
From: Onderstepoort Journal of Veterinary Research
(1) This refers to the probability that a positive test result accurately indicates the presence of a disease, such as co-infection.[28]
From: South African Journal of Psychiatry
(1) This is the probability that a person has a condition, like a substance use disorder, given a positive test result, and it was used to assess the screening test's accuracy.[29] (2) A statistical measure that indicates the probability that individuals who test positive for depression actually have the condition, according to the tool.[30] (3) The positive predictive value represents the probability that individuals with a positive test result will actually meet the diagnostic criteria for the disorder, which in the study was found to be 13.0%.[31] (4) Positive predictive value (PPV) is a statistical measure that indicates the likelihood that a person who screens positive for a condition actually has the condition. The document discusses the PPV of the screening tools.[32] (5) This is a measure of the Montreal Cognitive Assessment Test, indicating the likelihood that a positive result correctly identifies individuals with mild cognitive impairment.[33]
From: International Journal of Pharmacology
(1) Positive Predictive Values, or PPVs, are a measure used to determine the probability that a detected signal actually represents an adverse drug reaction.[34]