Literature DB >> 16389657

Incidence of clinically diagnosed systemic lupus erythematosus 1992-1998 using the UK General Practice Research Database.

Alison L Nightingale1, Richard D T Farmer, Corinne S de Vries.   

Abstract

PURPOSE: To determine the age- and sex-specific incidence rates of systemic lupus erythematosus (SLE) in the population of the General Practice Research Database (GPRD) between 1.1.1992 and 31.12.1998.
METHODS: We searched the GPRD for incident cases of clinically diagnosed SLE with supporting evidence of diagnosis in their medical record. Cases must have had at least 3 years of data in their record prior to date of first diagnosis. We calculated the annual and age- and sex-specific incidence rates of SLE.
RESULTS: We identified 390 incident cases of SLE yielding an incidence rate (IR) of 3.02/100 000/year (CI(95) 2.72, 3.32). There were 41 males (IR 0.65/100 000/year (CI(95) 0.45, 0.85)) and 349 females (IR 5.30/100 000/year (CI(95) 4.75, 5.86)). The median age at diagnosis for males and females was 54 and 46 years, respectively, and the peak incidence rates were amongst women aged 30-69 years. The incidence rate ratio for females to males was 8.15 (CI(95) 5.9, 11.6).
CONCLUSIONS: This is the first UK-wide study of the incidence of SLE. The results of this study are consistent with previous smaller studies conducted in Nottingham and Birmingham. Although recording of symptoms of SLE is not complete in the GPRD, we conclude that incident cases can be successfully identified because generally there is supporting evidence of diagnosis in medical record.

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Year:  2006        PMID: 16389657     DOI: 10.1002/pds.1199

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  13 in total

1.  Tuberculosis as a risk factor for systemic lupus erythematosus: results of a nationwide study in Taiwan.

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Journal:  Rheumatol Int       Date:  2011-03-18       Impact factor: 2.631

Review 2.  The global burden of SLE: prevalence, health disparities and socioeconomic impact.

Authors:  Erin E Carter; Susan G Barr; Ann E Clarke
Journal:  Nat Rev Rheumatol       Date:  2016-08-25       Impact factor: 20.543

3.  Prevalence and incidence of systemic lupus erythematosus in South Korea.

Authors:  Jee-Seon Shim; Yoon-Kyoung Sung; Young Bin Joo; Hye-Soon Lee; Sang-Cheol Bae
Journal:  Rheumatol Int       Date:  2013-12-10       Impact factor: 2.631

Review 4.  The humanistic and economic burden of systemic lupus erythematosus : a systematic review.

Authors:  Rachel Meacock; Nicola Dale; Mark J Harrison
Journal:  Pharmacoeconomics       Date:  2013-01       Impact factor: 4.981

5.  Epidemiology of systemic lupus erythematosus: capturing the butterfly.

Authors:  S Sam Lim; Cristina Drenkard
Journal:  Curr Rheumatol Rep       Date:  2008-08       Impact factor: 4.592

Review 6.  Understanding the epidemiology and progression of systemic lupus erythematosus.

Authors:  Guillermo J Pons-Estel; Graciela S Alarcón; Lacie Scofield; Leslie Reinlib; Glinda S Cooper
Journal:  Semin Arthritis Rheum       Date:  2009-01-10       Impact factor: 5.532

7.  Using Visual Timelines in Telephone Interviews: Reflections and Lessons Learned From the Star Family Study.

Authors:  Bethan Pell; Denitza Williams; Rhiannon Phillips; Julia Sanders; Adrian Edwards; Ernest Choy; Aimee Grant
Journal:  Int J Qual Methods       Date:  2020-03-30

8.  The incidence and prevalence of systemic lupus erythematosus in the UK, 1999-2012.

Authors:  Frances Rees; Michael Doherty; Matthew Grainge; Graham Davenport; Peter Lanyon; Weiya Zhang
Journal:  Ann Rheum Dis       Date:  2014-09-29       Impact factor: 19.103

Review 9.  A diverse array of genetic factors contribute to the pathogenesis of systemic lupus erythematosus.

Authors:  Nicki Tiffin; Adebowale Adeyemo; Ikechi Okpechi
Journal:  Orphanet J Rare Dis       Date:  2013-01-07       Impact factor: 4.123

10.  Health services research in the public healthcare system in Hong Kong: an analysis of over 1 million antihypertensive prescriptions between 2004-2007 as an example of the potential and pitfalls of using routinely collected electronic patient data.

Authors:  Martin C S Wong; Johnny Y Jiang; Jin-ling Tang; Augustine Lam; Hong Fung; Stewart W Mercer
Journal:  BMC Health Serv Res       Date:  2008-06-25       Impact factor: 2.655

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