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Accurate and rapid screening model for potential diabetes mellitus

Dongmei Pei, Yang Gong, Hong Kang, Chengpu Zhang, Qiyong Guo
2019 BMC Medical Informatics and Decision Making  
Prediction or early diagnosis of diabetes is crucial for populations with high risk of diabetes.  ...  The funding bodies play a role in the design of the study and collection, analysis of data and in writing the manuscript.  ...  Availability of data and materials The datasets analyzed during the current study are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s12911-019-0790-3 pmid:30866905 pmcid:PMC6416888 fatcat:diajhfdwlba4xn4d5rgswfdxuu

Effects of Health Status on Word Finding in Aging

Martin L. Albert, Avron Spiro, Keely J. Sayers, Jason A. Cohen, Christopher B. Brady, Mira Goral, Loraine K. Obler
2009 Journal of The American Geriatrics Society  
Lexical retrieval evaluated with the Boston Naming Test (BNT) and Action Naming Test. RESULTS-Unadjusted regression models showed that presence of diabetes mellitus was not related to naming.  ...  MEASUREMENTS-Medical , neurological, and laboratory evaluations to determine health status and presence or absence of hypertension and diabetes mellitus.  ...  Clark-Cotton, Shelley Amberg, Josh Berger, and Rebecca Brown for collecting data and discussing analyses.  ... 
doi:10.1111/j.1532-5415.2009.02559.x pmid:20121990 pmcid:PMC2946242 fatcat:qnjwy2ats5gobjmd2anfeqmfc4

Coronary Artery Calcium Screening in Persons with Metabolic Syndrome and Diabetes: Implications for Prevention

David M. Tehrani, Shaista Malik, Nathan D. Wong
2013 Metabolic Syndrome and Related Disorders  
This review evaluates the role and possible benefits of CAC screening, with a focus on those with metabolic syndrome and diabetes mellitus for evaluating the risk for CHD.  ...  persons with and without metabolic syndrome and diabetes mellitus.  ...  that describes the potential benefits for screening patients with subclinical metabolic syndrome and diabetes mellitus with CAC for presence and severity of subclinical CHD.  ... 
doi:10.1089/met.2012.0165 pmid:23438153 pmcid:PMC3840472 fatcat:i3zsfv6yejhcjaytqj2kf73bwa

Prediction of gestational diabetes mellitus in the Born in Guangzhou Cohort Study, China

Kimberly K. Schaefer, Wanqing Xiao, Qiaozhu Chen, Jianrong He, Jinhua Lu, Fanfan Chan, Niannian Chen, Mingyang Yuan, Huimin Xia, Kin Bong Hubert Lam, Jane E. Hirst, Xiu Qiu
2018 International Journal of Gynecology & Obstetrics  
ABSTRACT Objective: To assess potential risk factors in identifying women at risk for gestational diabetes mellitus (GDM).  ...  Synopsis: Use of a risk-factor-based screening tool for gestational diabetes mellitus could reduce the number of pregnant women undergoing oral glucose tolerance testing by 25%.  ...  The ideal calibration line means an intercept of 0 and a Figure 2 2 Receiver operating characteristic curve for risk-factor-based screening of gestational diabetes mellitus in the present study in comparison  ... 
doi:10.1002/ijgo.12627 pmid:30030928 fatcat:pgvhixfuivaqbmqufmyngfj5zm

Budget impact of phentermine and topiramate extended-release (PHEN/TPM ER) in overweight and obese patients with comorbid prediabetes or type 2 diabetes mellitus (T2DM)

E. Zagadailov, R. Carlton, T. Bramley, W. Liu, S. Karnawat, J. McDowell
2014 Value in Health  
In doing so, we identified novel factors representing emerging areas of diabetes research and potential new targets for clinical management.  ...  Methods: Using GNS Health care's analytical platform (REFS TM ), we built unbiased predictive models for progression to T2D, computationally exploring trillions of potential models, in Humedica data.  ...  PDb25 examining Diabetes Prevalence in the uniteD states using a 2008-2009 meDicaiD PoPulation PDb26 the oPtimal interval of Diabetes mellitus screening in healthy aDults: a ranDom effects moDel PDb27  ... 
doi:10.1016/j.jval.2014.03.1415 fatcat:ammwj2qhcra3ffe3kyleiorrcy

Spontaneous Preterm Labor and Birth and its Major Determinants: Artificial Neural Network Analysis of General Hospital Data

Kwang-Sig Lee, Ki Hoon Ahn
2019 Journal of Korean medical science  
For preventing preterm birth, preventive measures for hypertension and diabetes mellitus are required alongside the promotion of cervical-length screening with different guidelines across the scope/type  ...  Based on variable importance from the ANN, major determinants of preterm birth are body mass index (0.0164), hypertension (0.0131) and diabetes mellitus (0.0099) as well as prior cone biopsy (0.0099),  ...  In conclusion, for preventing preterm birth, preventive measures for hypertension and diabetes mellitus might be needed alongside the promotion of cervical-length screening with different guidelines across  ... 
doi:10.3346/jkms.2019.34.e128 pmid:31020816 pmcid:PMC6484180 fatcat:rvio5jcdhnbs3f4w3lsjan6py4

Accuracy of diabetes screening methods used for people with tuberculosis, Indonesia, Peru, Romania, South Africa

Daniel Grint, Bachti Alisjhabana, Cesar Ugarte-Gil, Anca-Leila Riza, Gerhard Walzl, Fiona Pearson, Rovina Ruslami, David A J Moore, Mihai Ioana, Susan McAllister, Katharina Ronacher, Raspati C Koeseomadinata (+8 others)
2018 Bulletin of the World Health Organization  
newly derived diabetes mellitus risk scores and anthropometric measurements.  ...  To evaluate the performance of diagnostic tools for diabetes mellitus, including laboratory methods and clinical risk scores, in newly-diagnosed pulmonary tuberculosis patients from four middle-income  ...  Research Diabetes screening in tuberculosis patients Daniel Grint et al.  ... 
doi:10.2471/blt.17.206227 pmid:30455529 pmcid:PMC6239004 fatcat:mj6uxhftc5c35lj63gncdemhk4

Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus

Cecil Jack Weale, Don M Matshazi, Saarah FG Davids, Shanel Raghubeer, Rajiv T Erasmus, Andre Pascal Kengne, Glenda Mary Davison, Tandi E Matsha
2020 Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy  
The aim of the present study was to evaluate the diagnostic value of miR-30a-5p and miR-182-5p for prediabetes and screen-detected type 2 diabetes mellitus (T2DM).  ...  microRNAs (miRNAs) have been touted as potential diagnostic and prognostic biomarkers for various diseases.  ...  Acknowledgments We thank the Bellville South community and their community Health Forum for supporting the study.  ... 
doi:10.2147/dmso.s286081 pmid:33376373 pmcid:PMC7762450 fatcat:5lzxpqalmzfrjeog6a4v3ysnqu

PDB94 MARKOV AND MONTE-CARLO MODELS IN THE PROGRESSION OF DIABETES MELLITUS: A LITTERATURE REVIEW TO IDENTIIFY THE FACTORS INFLUENCING THE CHOICE OF THE TYPE OF MODEL

L Renard, I Borget
2010 Value in Health  
OBJECTIVES: Markov and Monte-Carlo (MC) models are often used to simulate Diabetes Mellitus (DM) and its complications over time, but reasons to choose the model type are poorly documented. a systematic  ...  BACKGROUND: Advances in screening technology have led to rapid expansion of newborn screening as a public health initiative in the United States.  ...  1 Health Partners, Bloomington, MN, USA; 2 Texas Department of State Health Services, Austin, TX, USA BACKGROUND: Advances in screening technology have led to rapid expansion of newborn screening as a  ... 
doi:10.1016/s1098-3015(11)72152-0 fatcat:ruta7m7lrremrpyzd57i6l7pxu

Objective study of the facial parameters of observations in patients with type 2 diabetes mellitus by machine learning

Baozhi Cheng, Jianli Ma, Xiaolong Chen, Lingyan Yuan
2022 Annals of Translational Medicine  
A predictive model of facial feature data was established by machine learning to screen the objective parameters of risk factors of facial morphological features of type 2 diabetes mellitus (T2DM) following  ...  Methods: In this study, the following diagnostic criteria for diabetes developed by the World Health Organization (WHO) in 1999 were used to determine the inclusion and exclusion criteria for T2DM and  ...  Based on a Meta-II analysis, an optimized logistic regression model was used to screen patients with complications of type 2 diabetes mellitus (T2DM) and standardize the high-risk groups by risk assessment  ... 
doi:10.21037/atm-22-3580 fatcat:gcte6xqsmfazbdyqhmouqmfe3m

Screening subclinical coronary artery disease with noninvasive modalities in patients with diabetes

Yanglu Zhao, Nathan D. Wong
2015 Cardiovascular Endocrinology  
Acknowledgements Conflicts of interest Dr Wong is a consultant for Re-Engineering Healthcare. For the remaining author, there is no conflict of interest.  ...  (b) Algorithm for screening of asymptomatic patients with diabetes mellitus (DM). Reprinted with permission from Scholte et al. [56].  ...  in models; this evidence will be the most powerful for demonstrating screening preference in DM patients.  ... 
doi:10.1097/xce.0000000000000056 fatcat:nk4vmtnvrffhphgz6hdwtyjdma

Screening for gestational diabetes mellitus: cost–utility of different screening strategies based on a woman's individual risk of disease

J. A. Round, P. Jacklin, R. B. Fraser, R. G. Hughes, M. A. Mugglestone, R. I. G. Holt
2010 Diabetologia  
Aims/hypothesis The cost-effectiveness of eight strategies for screening for gestational diabetes (including no screening) was estimated with respect to the level of individual patient risk.  ...  When gestational diabetes mellitus risk is <1% then the no screening/treatment strategy is cost-effective; where risk is between 1.0% and 4.2% fasting plasma glucose followed by OGTT is most likely to  ...  Mugglestone are employees of the National Collaborating Centre for Women's and Children's Health, which receives its funding from the National Institute of Health and Clinical Excellence. R.B.  ... 
doi:10.1007/s00125-010-1881-y pmid:20809381 fatcat:f2e6s3s62fbe7ofpstxgkaqsje

Usefulness of Machine Learning for Identification of Referable Diabetic Retinopathy in a Large-Scale Population-Based Study

Cheng Yang, Qingyang Liu, Haike Guo, Min Zhang, Lixin Zhang, Guanrong Zhang, Jin Zeng, Zhongning Huang, Qianli Meng, Ying Cui
2021 Frontiers in Medicine  
survey.Methods: The 1,418 patients with diabetes mellitus from 8,952 rural residents screened in the population-based Dongguan Eye Study were used for model development and validation.  ...  modeling to detect RDR in individuals with diabetes.  ...  To our knowledge, this is the first diagnostic model for RDR in the Chinese diabetic population based on ML and simple variables, which has the potential for accurate and rapid RDR screening.  ... 
doi:10.3389/fmed.2021.773881 pmid:34977075 pmcid:PMC8717406 fatcat:g7qq2ojhjvflxoptx3pzhqo6fi

Determination of Plasma Amino Acid Biomarkers by High Performance Liquid Chromatography for Diagnosis of Type 2 Diabetes Mellitus

Xiaofei Han, Hongbin Xiao, Qingping Liu, Liangxiao Zhang, Qianxu Yang, Nan Zhao, Yuhong Huang, Deqin Zhang
2013 Analytical Letters  
The use of the fasting plasma glucose and 2-h plasma glucose tolerance tests leads to under-diagnosis of type 2 diabetes mellitus.  ...  These findings indicate that simultaneous measurement of specific metabolites with fasting plasma glucose from a single blood test for screening type 2 diabetes might be a more sensitive and specific strategy  ...  AMINO ACID BIOMARKERS FOR TYPE 2 DIABETES MELLITUS 2819 Establishment of New Predictors for Type 2 Diabetes A good OPLS model was established by all targeted metabolites and the potential biomarkers  ... 
doi:10.1080/00032719.2013.814055 fatcat:isttft43gzdv3ipevzrdjt3kue

A Review of the Current Status of Gestational Diabetes Mellitus in Australia—The Clinical Impact of Changing Population Demographics and Diagnostic Criteria on Prevalence

Josephine G Laurie, H. David McIntyre
2020 International Journal of Environmental Research and Public Health  
By modifying and modernizing models of care for women with gestational diabetes mellitus, we have the ability to address accessibility, resource management and our acute response to global events such  ...  Our vast land mass and the remote location of many at risk women requires innovative and novel ideas for pathways to diagnose and effectively manage women with gestational diabetes mellitus.  ...  Table 1 . 1 Diagnostic criteria for gestational diabetes mellitus (GDM) in Australia.  ... 
doi:10.3390/ijerph17249387 pmid:33333879 fatcat:twe75d2ul5hm7ggw2gbct5c3sa
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