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  1. Article ; Online: Medical diagnostic accuracy measures: an innovative approach based on the area under predictive values curves.

    Samawi, Hani / Kersey, Jing / Yin, Jingjing / Rochani, Haresh

    Journal of biopharmaceutical statistics

    2024  , Page(s) 1–16

    Abstract: Positive and negative estimates are commonly used by clinicians to evaluate the likelihood of a disease stage being present based on test results. The predicted values are dependent on the prevalence of the underlying illness. However, for certain ... ...

    Abstract Positive and negative estimates are commonly used by clinicians to evaluate the likelihood of a disease stage being present based on test results. The predicted values are dependent on the prevalence of the underlying illness. However, for certain diseases or clinical conditions, the prevalence is unknown or different from one region to another or from one population to another, leading to an erroneous diagnosis. This article introduces innovative post-test diagnostic precision measures for continuous tests or biomarkers based on the combined areas under the predictive value curves for all possible prevalence values. The proposed measures do not vary as a function of the prevalence of the disease. They can be used to compare different diagnostic tests and/or biomarkers' abilities for rule-in, rule-out, and overall accuracy based on the combined areas under the predictive value curves. The relationship of the proposed measures to other diagnostic accuracy measures is discussed. We illustrate the proposed measures numerically and use a real data example on breast cancer.
    Language English
    Publishing date 2024-04-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 1131763-2
    ISSN 1520-5711 ; 1054-3406
    ISSN (online) 1520-5711
    ISSN 1054-3406
    DOI 10.1080/10543406.2024.2341663
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: On Cox proportional hazards model performance under different sampling schemes.

    Samawi, Hani / Yu, Lili / Yin, JingJing

    PloS one

    2023  Volume 18, Issue 4, Page(s) e0278700

    Abstract: Cox's proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models' performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified ...

    Abstract Cox's proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models' performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified Extreme, and Double Extreme Ranked Set Sampling (ERSS, and DERSS) schemes with a simple random sampling scheme. Observations are assumed to be selected based on an easy-to-evaluate baseline available variable associated with the survival time. Through intensive simulations, we show that these modified approaches (ERSS and DERSS) provide more powerful testing procedures and more efficient estimates of hazard ratio than those based on simple random sampling (SRS). We also showed theoretically that Fisher's information for DERSS is higher than that of ERSS, and ERSS is higher than SRS. We used the SEER Incidence Data for illustration. Our proposed methods are cost saving sampling schemes.
    MeSH term(s) Proportional Hazards Models ; Survival Analysis ; Research Design
    Language English
    Publishing date 2023-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0278700
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Net benefit of diagnostic tests for multistate diseases: an indicator variables approach.

    Samawi, Hani / Ahmed, Ferdous / Pennello, Gene / Yin, Jingjing

    Journal of biopharmaceutical statistics

    2023  Volume 33, Issue 5, Page(s) 611–638

    Abstract: A limitation of the common measures of diagnostic test performance, such as sensitivity and specificity, is that they do not consider the relative importance of false negative and false positive test results, which are likely to have different clinical ... ...

    Abstract A limitation of the common measures of diagnostic test performance, such as sensitivity and specificity, is that they do not consider the relative importance of false negative and false positive test results, which are likely to have different clinical consequences. Therefore, the use of classification or prediction measures alone to compare diagnostic tests or biomarkers can be inconclusive for clinicians. Comparing tests on net benefit can be more conclusive because clinical consequences of misdiagnoses are considered. The literature suggested evaluating the binary diagnostic tests based on net benefit, but did not consider diagnostic tests that classify more than two disease states, e.g., stroke subtype (large-artery atherosclerosis, cardioembolism, small-vessel occlusion, stroke of other determined etiology, stroke of undetermined etiology), skin lesion subtype, breast cancer subtypes (benign, mass, calcification, architectural distortion, etc.), METAVIR liver fibrosis state (F0- F4), histopathological classification of cervical intraepithelial neoplasia (CIN), prostate Gleason grade, brain injury (intracranial hemorrhage, mass effect, midline shift, cranial fracture) . Other diseases have more than two stages, such as Alzheimer's disease (dementia due to Alzheimer's disease, mild cognitive disability (MCI) due to Alzheimer's disease, and preclinical presymptomatics due to Alzheimer's disease). In diseases with more than two states, the benefits and risks may vary between states. This paper extends the net-benefit approach of evaluating binary diagnostic tests to multi-state clinical conditions to rule-in or rule-out a clinical condition based on adverse consequences of work-up delay (due to false negative test result) and unnecessary workup (due to false positive test result). We demonstrate our approach with numerical examples and real data.
    MeSH term(s) Male ; Humans ; Alzheimer Disease/diagnosis ; Cognitive Dysfunction/diagnosis ; Sensitivity and Specificity ; Stroke/diagnosis ; Diagnostic Tests, Routine ; Neuropsychological Tests
    Language English
    Publishing date 2023-01-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 1131763-2
    ISSN 1520-5711 ; 1054-3406
    ISSN (online) 1520-5711
    ISSN 1054-3406
    DOI 10.1080/10543406.2023.2169928
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index.

    Wang, Jia / Yin, Jingjing / Tian, Lili

    Statistics in medicine

    2023  Volume 43, Issue 5, Page(s) 869–889

    Abstract: In biomarker evaluation/diagnostic studies, the hypervolume under the receiver operating characteristic manifold ( ...

    Abstract In biomarker evaluation/diagnostic studies, the hypervolume under the receiver operating characteristic manifold (
    MeSH term(s) Humans ; Computer Simulation ; ROC Curve ; Alzheimer Disease/diagnosis ; Biomarkers ; Neuroimaging
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-12-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.9998
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Joint confidence region estimation on predictive values.

    Schaible, Braydon J / Yin, Jingjing

    Pharmaceutical statistics

    2021  Volume 20, Issue 6, Page(s) 1147–1167

    Abstract: For evaluating diagnostic accuracy of inherently continuous diagnostic tests/biomarkers, sensitivity and specificity are well-known measures both of which depend on a diagnostic cut-off, which is usually estimated. Sensitivity (specificity) is the ... ...

    Abstract For evaluating diagnostic accuracy of inherently continuous diagnostic tests/biomarkers, sensitivity and specificity are well-known measures both of which depend on a diagnostic cut-off, which is usually estimated. Sensitivity (specificity) is the conditional probability of testing positive (negative) given the true disease status. However, a more relevant question is "what is the probability of having (not having) a disease if a test is positive (negative)?". Such post-test probabilities are denoted as positive predictive value (PPV) and negative predictive value (NPV). The PPV and NPV at the same estimated cut-off are correlated, hence it is desirable to make the joint inference on PPV and NPV to account for such correlation. Existing inference methods for PPV and NPV focus on the individual confidence intervals and they were developed under binomial distribution assuming binary instead of continuous test results. Several approaches are proposed to estimate the joint confidence region as well as the individual confidence intervals of PPV and NPV. Simulation results indicate the proposed approaches perform well with satisfactory coverage probabilities for normal and non-normal data and, additionally, outperform existing methods with improved coverage as well as narrower confidence intervals for PPV and NPV. The Alzheimer's Disease Neuroimaging Initiative (ADNI) data set is used to illustrate the proposed approaches and compare them with the existing methods.
    MeSH term(s) Biomarkers ; Diagnostic Tests, Routine ; Humans ; Predictive Value of Tests ; Probability ; Sensitivity and Specificity
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-05-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2083706-9
    ISSN 1539-1612 ; 1539-1604
    ISSN (online) 1539-1612
    ISSN 1539-1604
    DOI 10.1002/pst.2131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Effects of the presence of phosphate buffer solution on removal efficiency of Pb and Zn in soil by solid phase microbial fuel cells

    Cao, Mingrui / Yin, Jingjing / Song, Tianshun / Xie, Jingjing

    Biotechnol Lett. 2022 Dec., v. 44, no. 12 p.1495-1505

    2022  

    Abstract: Simple, effective and environment-friendly ways for remediating toxic metal pollution are necessary. In this study, the effect of different concentrations phosphate buffer solution (PBS) on removal efficiency of Pb and Zn in soil by solid phase microbial ...

    Abstract Simple, effective and environment-friendly ways for remediating toxic metal pollution are necessary. In this study, the effect of different concentrations phosphate buffer solution (PBS) on removal efficiency of Pb and Zn in soil by solid phase microbial fuel cell (SMFC) was investigated. During 100 days of operation, the SMFC with 150 mM PBS generated the highest power density of 21.7 mW m⁻² and the lowest internal resistance of 161 Ω. The addition of PBS can also increase soil conductivity and maintain a suitable pH for microbial activity. Furthermore, the removal rate of Pb and Zn in the SMFC with 150 mM PBS can reach 14.7% and 22.3%, respectively. The microbial community analyses demonstrated that Anditalea as an exoelectrogen in alkaline-saline conditions was significantly enriched in the SMFC with 150 mM PBS. This study provides an effective strategy for strengthening SMFC to remove toxic metals in soil.
    Keywords fuels ; microbial activity ; microbial communities ; microbial fuel cells ; pH ; phosphates ; pollution ; soil ; toxicity
    Language English
    Dates of publication 2022-12
    Size p. 1495-1505.
    Publishing place Springer Netherlands
    Document type Article ; Online
    ZDB-ID 423853-9
    ISSN 1573-6776 ; 0141-5492
    ISSN (online) 1573-6776
    ISSN 0141-5492
    DOI 10.1007/s10529-022-03315-1
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: RMRP inhibition prevents NAFLD progression in rats via regulating miR-206/PTPN1 axis

    Yin, Jingjing / Chen, Xiangfei / Zhang, Fang / Zhao, Ming

    Mammalian genome. 2022 Sept., v. 33, no. 3

    2022  

    Abstract: This study aimed to investigate the regulatory function of lncRNA RMRP in non-alcoholic fatty liver disease (NAFLD). In vitro and in vivo NAFLD models were constructed. Hematoxylin & Eosin (H&E) and Oil-Red O staining assays were conducted to observe the ...

    Abstract This study aimed to investigate the regulatory function of lncRNA RMRP in non-alcoholic fatty liver disease (NAFLD). In vitro and in vivo NAFLD models were constructed. Hematoxylin & Eosin (H&E) and Oil-Red O staining assays were conducted to observe the morphology and lipid accumulation in liver tissues. Triglycine (TG) secretion was detected by ELISA assay. The expression levels of RMRP, microRNA-206, PTPN1 (protein tyrosine phosphatase, non-receptor type 1), and their downstream genes were assessed by qRT-PCR and Western blot. The regulatory relationship among these molecules was determined by luciferase reporter and RNA pull-down assays. RMRP and PTPN1 were up-regulated, while miR-206 was down-regulated in the liver tissues of NAFLD patients and rat model. RMRP inhibition improved the pathological state and liver function-related indexes of liver lipid deposition in the liver tissues of NAFLD rats. RMRP inhibition alleviated steatosis and TG secretion in free fatty acids (FFA)-treated AML-12 cells. RMRP could bind to miR-206 and downregulate its expression. Meanwhile, RMRP inhibition attenuated lipid accumulation by downregulating the PTPN1-PP2ASP1-SREBP1C pathway. Furthermore, RMRP inhibited the miR-206/PTPN1-SREBP1C signaling pathway in NAFLD rats and FFA-treated AML-12 cells. RMRP inhibition prevented NAFLD progression in rats via targeting the miR-206/PTPN1 axis.
    Keywords RNA ; Western blotting ; animal models ; eosin ; fatty liver ; lipids ; liver ; luciferase ; pathological processes and conditions ; protein-tyrosine-phosphatase ; secretion
    Language English
    Dates of publication 2022-09
    Size p. 480-489.
    Publishing place Springer US
    Document type Article
    ZDB-ID 1058547-3
    ISSN 1432-1777 ; 0938-8990
    ISSN (online) 1432-1777
    ISSN 0938-8990
    DOI 10.1007/s00335-022-09945-0
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Healthy Eating for All? The Challenge of Adhering to Dietary Guidelines for Low-Income Groups in China.

    Yin, Jingjing / Hua, Jingfen / Zhang, Xinhuan / Tuyishimire, Alexandre / Yang, Degang

    Nutrients

    2023  Volume 15, Issue 12

    Abstract: The Chinese Dietary Guidelines propose a balanced diet for healthy living, but the affordability of this diet needs to be considered, especially for low-income households. To investigate the affordability of a healthy diet, this study analyzes the daily ... ...

    Abstract The Chinese Dietary Guidelines propose a balanced diet for healthy living, but the affordability of this diet needs to be considered, especially for low-income households. To investigate the affordability of a healthy diet, this study analyzes the daily retail prices of 46 food items in 36 Chinese cities from 2016 to 2021. This study compares expenditure, diet composition, and nutritional status in two scenarios aligned with the guidelines. The results show that the mean minimum cost of a balanced diet exceeds the current per capita food expenditure for at least 182.85 million urban households. This suggests that low-income people would need to increase their expenditure by at least 20-121% to achieve the recommended diets. This study also identifies affordable and nutrient-dense foods such as standard flour, eggs, black beans, and cabbage, which policymakers should focus on when monitoring food prices. The findings recommend a combination of social and food system policies to reduce prices and make healthy diets accessible. This study identifies the gaps in the Chinese Dietary Guidelines for ensuring accessibility for vulnerable groups and provides a template for policymakers and researchers to track diet affordability using available food price data in China, contributing to China's 2030 Health Plan and the UN's Sustainable Development Goals.
    MeSH term(s) Humans ; Diet, Healthy ; Diet/methods ; Poverty ; Nutrition Policy ; Eggs
    Language English
    Publishing date 2023-06-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2518386-2
    ISSN 2072-6643 ; 2072-6643
    ISSN (online) 2072-6643
    ISSN 2072-6643
    DOI 10.3390/nu15122704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Elevated COVID-19 Case Rates of Government Employees, District of Columbia, 2020-2022.

    Hua, Xinyi / Yin, Jingjing / Fung, Isaac C H

    Annals of work exposures and health

    2022  Volume 67, Issue 1, Page(s) 153–159

    Abstract: Objectives: To estimate the rate ratio (RR) of reported Coronavirus Disease 2019 (COVID-19) cases among governmental employees from seven District of Columbia (D.C.) departments from March 2020 to February 2022.: Methods: Poisson regression models ... ...

    Abstract Objectives: To estimate the rate ratio (RR) of reported Coronavirus Disease 2019 (COVID-19) cases among governmental employees from seven District of Columbia (D.C.) departments from March 2020 to February 2022.
    Methods: Poisson regression models were used to estimate the RR by department, using D.C. residents as the reference and the person-day as the offset. The COVID-19 surveillance data and the full-time equivalent hours for each department were obtained from the D.C. governmental websites.
    Results: Five of the seven departments had statistically significant higher COVID-19 case rates than D.C. residents. Stratified by four pandemic stages, RR of Fire and Emergency Medical Services (FEMS), Office of Unified Communication (OUC), and Metropolitan Police Department (MPD) were consistently >1: FEMS: 3.34 (95% confidence interval, CI [2.94, 3.77]), 2.39 (95% CI [2.06, 2.75]), 2.48 (95% CI [2.06, 2.95]), and 3.90 (95% CI [3.56, 4.26]), respectively; OUC: 1.47 (95% CI [0.92, 2.18]), 2.72 (95% CI [1.93, 3.69]), 1.85 (95% CI [1.09, 2.92]), and 2.18 (95% CI [1.62, 2.85]), respectively; and MPD: 2.33 (95% CI [2.11, 2.58]), 1.96 (95% CI [1.75, 2.18]), 1.52 (95% CI [1.29, 1.77]), and 1.76 (95% CI [1.60, 1.92]), respectively.
    Conclusions: The results suggested higher case rates for emergency responders and frontline personnel than for general population in D.C.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; District of Columbia/epidemiology ; Government Employees ; Occupational Exposure
    Language English
    Publishing date 2022-07-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2885096-8
    ISSN 2398-7316 ; 2398-7308
    ISSN (online) 2398-7316
    ISSN 2398-7308
    DOI 10.1093/annweh/wxac049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Air Quality and Cancer Prevalence Trends across the Sub-Saharan African Regions during 2005-2020.

    Okunromade, Omolola / Yin, Jingjing / Ray, Clara / Adhikari, Atin

    International journal of environmental research and public health

    2022  Volume 19, Issue 18

    Abstract: Poor air quality and environmental pollution remain some of the main etiological factors leading to cancers and cancer-related deaths worldwide. As a result of human activities, deleterious airborne chemicals can be dispersed not only in the environment ... ...

    Abstract Poor air quality and environmental pollution remain some of the main etiological factors leading to cancers and cancer-related deaths worldwide. As a result of human activities, deleterious airborne chemicals can be dispersed not only in the environment but also released in occupational environments and industrial areas. Air pollutants and cancer links are now established through various oxidative stress-related mechanisms and related DNA damages. Generally, ambient and indoor air pollutants have been understudied in sub-Saharan Africa (SSA) compared to other regions in the world. Our study not only highlights the deleterious effects of air pollutants in these developing countries, but it has strived to examine the trends and correlations between cancers and some air pollutants-carbon dioxide, other greenhouse gases, PM
    MeSH term(s) Africa South of the Sahara/epidemiology ; Air Pollutants/analysis ; Air Pollution/adverse effects ; Air Pollution/analysis ; Carbon Dioxide/analysis ; Greenhouse Gases/analysis ; Humans ; Neoplasms/epidemiology ; Particulate Matter/analysis ; Prevalence
    Chemical Substances Air Pollutants ; Greenhouse Gases ; Particulate Matter ; Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2022-09-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph191811342
    Database MEDical Literature Analysis and Retrieval System OnLINE

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