Literature DB >> 22865719

Achutha Menon Centre Diabetes Risk Score: a type 2 diabetes screening tool for primary health care providers in rural India.

Thirunavukkarasu Sathish1, Srinivasan Kannan2, P Sankara Sarma2, Kavumpurathu Raman Thankappan2.   

Abstract

The authors aimed to develop a diabetes risk score for primary care providers in rural India. They used the baseline data of 451 participants (15-64 years) of a cohort study in a rural area of Kerala, India. The new risk score with age, family history of diabetes, and waist circumference identified 40.8% for confirmatory testing, had a sensitivity of 81.0%, specificity of 68.4%, positive predictive value of 37.0%, and negative predictive value of 94.0% for an optimal cutoff ≥4 with an area under the receiver operating characteristic curve of 0.812 (95% confidence interval = 0.765-0.860). The new risk score with 3 simple, easy-to-measure, less time-consuming, and less expensive variables could be suitable for use in primary care settings of rural India.
© 2013 APJPH.

Entities:  

Keywords:  India; diabetes; primary health care providers; risk score; rural

Mesh:

Year:  2012        PMID: 22865719      PMCID: PMC4573642          DOI: 10.1177/1010539512454162

Source DB:  PubMed          Journal:  Asia Pac J Public Health        ISSN: 1010-5395            Impact factor:   1.399


  22 in total

1.  Performance of a predictive model to identify undiagnosed diabetes in a health care setting.

Authors:  C A Baan; J B Ruige; R P Stolk; J C Witteman; J M Dekker; R J Heine; E J Feskens
Journal:  Diabetes Care       Date:  1999-02       Impact factor: 19.112

2.  AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures.

Authors:  Lei Chen; Dianna J Magliano; Beverley Balkau; Stephen Colagiuri; Paul Z Zimmet; Andrew M Tonkin; Paul Mitchell; Patrick J Phillips; Jonathan E Shaw
Journal:  Med J Aust       Date:  2010-02-15       Impact factor: 7.738

3.  The development and validation of a diabetes risk score for high-risk Thai adults.

Authors:  Prasit Keesukphan; Suwannee Chanprasertyothin; Boonsong Ongphiphadhanakul; Gobchai Puavilai
Journal:  J Med Assoc Thai       Date:  2007-01

4.  A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects.

Authors:  V Mohan; R Deepa; M Deepa; S Somannavar; M Datta
Journal:  J Assoc Physicians India       Date:  2005-09

5.  Derivation and validation of diabetes risk score for urban Asian Indians.

Authors:  A Ramachandran; C Snehalatha; V Vijay; N J Wareham; S Colagiuri
Journal:  Diabetes Res Clin Pract       Date:  2005-04-15       Impact factor: 5.602

6.  Diabetic retinopathy in type II diabetics detected by targeted screening versus newly diagnosed in general practice.

Authors:  Swati Agarwal; Rajiv Raman; Rani Padmaja Kumari; Himanshu Deshmukh; Pradeep G Paul; Perumal Gnanamoorthy; Govindasamy Kumaramanickavel; Tarun Sharma
Journal:  Ann Acad Med Singapore       Date:  2006-08       Impact factor: 2.473

7.  Development and validation of a patient self-assessment score for diabetes risk.

Authors:  Heejung Bang; Alison M Edwards; Andrew S Bomback; Christie M Ballantyne; David Brillon; Mark A Callahan; Steven M Teutsch; Alvin I Mushlin; Lisa M Kern
Journal:  Ann Intern Med       Date:  2009-12-01       Impact factor: 25.391

8.  Age- and sex-specific prevalence of diabetes and impaired glucose regulation in 11 Asian cohorts.

Authors:  Qing Qiao; Gang Hu; Jaako Tuomilehto; Tomoko Nakagami; Beverley Balkau; Knut Borch-Johnsen; A Ramachandran; V Mohan; S Ramnathan Iyer; Makoto Tominaga; Yutaka Kiyohara; Isao Kato; Ken Okubo; Masaki Nagai; Satomi Shibazaki; Ze Yang; Zhifu Tong; Qinying Fan; Binzhi Wang; Suok Kai Chew; Bee Yian Tan; Derrick Heng; Shanta Emmanuel; Naoko Tajima; Yasuhiko Iwamoto; C Snehalatha; V Vijay; A Kapur; Yanhu Dong; Hairong Nan; Weiguo Gao; Haiyan Shi; Fangming Fu
Journal:  Diabetes Care       Date:  2003-06       Impact factor: 19.112

9.  Derivation and external validation of a simple prediction model for the diagnosis of type 2 diabetes mellitus in the Brazilian urban population.

Authors:  André Gustavo Pires de Sousa; Alexandre Costa Pereira; Guilherme Figueiredo Marquezine; Raimundo Marques do Nascimento-Neto; Silvia N Freitas; Roney Luiz de C Nicolato; George Luiz Lins Machado-Coelho; Sérgio L Rodrigues; José G Mill; José Eduardo Krieger
Journal:  Eur J Epidemiol       Date:  2009-02-04       Impact factor: 8.082

10.  Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).

Authors:  Beverley Balkau; Céline Lange; Leopold Fezeu; Jean Tichet; Blandine de Lauzon-Guillain; Sebastien Czernichow; Frederic Fumeron; Philippe Froguel; Martine Vaxillaire; Stephane Cauchi; Pierre Ducimetière; Eveline Eschwège
Journal:  Diabetes Care       Date:  2008-08-08       Impact factor: 17.152

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  4 in total

1.  A Risk Score to Predict Hypertension in Primary Care Settings in Rural India.

Authors:  Thirunavukkarasu Sathish; Srinivasan Kannan; P Sankara Sarma; Oliver Razum; Amanda Gay Thrift; Kavumpurathu Raman Thankappan
Journal:  Asia Pac J Public Health       Date:  2015-09-09       Impact factor: 1.399

2.  Performance of the Achutha Menon Centre Diabetes Risk Score in Identifying Prevalent Diabetes in Tamil Nadu, India.

Authors:  Anu Mary Oommen; Vinod Joseph Abraham; Thirunavukkarasu Sathish; V Jacob Jose; Kuryan George
Journal:  Diabetes Metab J       Date:  2017-10       Impact factor: 5.376

3.  Seven-year longitudinal change in risk factors for non-communicable diseases in rural Kerala, India: The WHO STEPS approach.

Authors:  Thirunavukkarasu Sathish; Srinivasan Kannan; Sankara P Sarma; Oliver Razum; Odile Sauzet; Kavumpurathu Raman Thankappan
Journal:  PLoS One       Date:  2017-06-09       Impact factor: 3.240

Review 4.  Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low- and middle-income countries:a scoping review.

Authors:  Jorge César Correia; Sarah Lachat; Grégoire Lagger; François Chappuis; Alain Golay; David Beran
Journal:  BMC Public Health       Date:  2019-11-21       Impact factor: 3.295

  4 in total

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