Significance of Negative predictive value

From: The Malaysian Journal of Medical Sciences

(1) This is the probability that a patient does not have a disease, given a negative test result, which is high for NPs.^[1] (2) This is a statistical measure that indicates the probability that a patient does not have a disease, such as group A streptococcal pharyngotonsillitis, given a negative test result.^[2] (3) Negative predictive value is a measure used to assess the accuracy of vision screening tests, indicating the likelihood that a negative result accurately identifies the absence of vision impairment.^[3] (4) This indicates the likelihood that a person with a negative test result does not have the condition, which was evaluated for transcutaneous bilirubin.^[4] (5) This refers to the probability that individuals with a negative test result, such as PCT, do not have the condition, providing insight into the test's ability to rule out the condition.^[5]

From: South African Journal of HIV Medicine

(1) This refers to the ability of a test to correctly identify people who do not have a disease, and the β-D-glucan assay has this value.^[6] (2) This refers to the test's ability to correctly identify those who do not have the disease, which was assessed in the study.^[7] (3) This is a statistical measure that indicates the probability that a person with a negative test result does not have the condition, and the study determined this value for the modified HDS to evaluate its accuracy in ruling out cognitive impairment in HIV-positive patients.^[8] (4) This indicates the probability that individuals with a negative test result do not have the condition, and the suicide risk screening scale had a negative predictive value of 80% at baseline.^[9] (5) This is the probability that a person with a negative test result does not have the condition, and in the case of the three markers, it is 97%.^[10]

From: African Journal of Primary Health Care and Family Medicine

(1) The likelihood that a person without the disease will test negative, which was 53% in this study, helping determine the test's ability to rule out malaria.^[11] (2) Negative predictive values indicate the probability that a patient with a negative test result does not have the disease, which is useful in ruling out conditions.^[12] (3) This is a measure used to determine how accurately a negative test result correctly identifies the absence of a condition, and it was calculated for both the 5.0 mL and 2.0 mL specimens.^[13] (4) The VIAC is known to have a high negative predictive value in primary care settings (at least 96 % ), and therefore these low rates on follow-up suggest that cancers were successfully treated.^[14] (5) This is the Zulu PEDS' ability to correctly identify non-referrals, and was lower at 75% in the study for outcome 1.^[15]

From: South African Family Practice

(1) This is the probability that individuals who test negative for a condition, like intimate partner violence, do not have the condition, and it is used to assess the accuracy of a screening tool.^[16] (2) NPV is the probability that a patient does not have microalbuminuria if the test result is negative, and the study calculates this value for the HemoCue and Clinitek systems, and it shows the tests' accuracy.^[17] (3) This is a measure indicating the probability that patients with a negative test result are truly free of the disease, and the study also assessed this value at different free prostate-specific antigen ratio cut-offs.^[18] (4) This is better in HPV-based primary screening than cytology, according to the South African Society for Obstetricians and Gynaecologists’ opinion.^[19]

From: International Journal of Pharmacology

(1) This value, at 57.89%, suggests that a negative BDG test result is less certain in ruling out a PFI.^[20] (2) A measure of diagnostic accuracy indicating the probability that a negative test result correctly indicates the absence of the condition.^[21] (3) A measure of diagnostic test performance, which is not significantly affected when combining GM and BG tests.^[22]

From: Journal of Public Health in Africa

(1) This is the probability that a person with a negative test result does not have the disease, and is used to evaluate the reliability of a diagnostic test for typhoid fever.^[23] (2) This value, along with the positive predictive value, is an extrinsic performance indicator used to assess the SD Bioline HAT for detecting serological cases of HAT.^[24]

From: South African Journal of Physiotherapy

(1) This is the probability that an infant does not have a gross motor impairment, which provides information about the study cohort and is more relevant than sensitivity and specificity when screening infants.^[25]

From: Onderstepoort Journal of Veterinary Research

(1) These are values of a normal leukocyte count and platelet count for the exclusion of co-infection with Ehrlichia spp., as described.^[26]

From: South African Journal of Psychiatry

(1) This is the probability that a person does not have a condition, like a substance use disorder, given a negative test result, and it was used to evaluate the performance of the screening test.^[27] (2) A statistical measure that indicates the probability that individuals who test negative for depression actually do not have the condition, according to the tool.^[28] (3) The negative predictive value indicates the likelihood that individuals with a negative test result do not have the disorder, and in this study, it was found to be 99.2%.^[29] (4) Negative predictive value (NPV) is a statistical measure that indicates the likelihood that a person who screens negative for a condition does not have the condition. The document discusses the NPV of the screening tools.^[30] (5) This is a measure of the Montreal Cognitive Assessment Test, indicating the likelihood that a negative result correctly identifies individuals without mild cognitive impairment.^[31]