Literature DB >> 26211920

A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: the international research collaboration for the prediction of diabetic foot ulcerations (PODUS).

Fay Crawford1, Genevieve Cezard2, Francesca M Chappell2, Gordon D Murray2, Jacqueline F Price2, Aziz Sheikh2, Colin R Simpson2, Gerard P Stansby1, Matthew J Young3.   

Abstract

BACKGROUND: Annual foot risk assessment of people with diabetes is recommended in national and international clinical guidelines. At present, these are consensus based and use only a proportion of the available evidence.
OBJECTIVES: We undertook a systematic review of individual patient data (IPD) to identify the most highly prognostic factors for foot ulceration (i.e. symptoms, signs, diagnostic tests) in people with diabetes. DATA SOURCES: Studies were identified from searches of MEDLINE and EMBASE. REVIEW
METHODS: The electronic search strategies for MEDLINE and EMBASE databases created during an aggregate systematic review of predictive factors for foot ulceration in diabetes were updated and rerun to January 2013. One reviewer applied the IPD review eligibility criteria to the full-text articles of the studies identified in our literature search and also to all studies excluded from our aggregate systematic review to ensure that we did not miss eligible IPD. A second reviewer applied the eligibility criteria to a 10% random sample of the abstract search yield to check that no relevant material was missed. This review includes exposure variables (risk factors) only from individuals who were free of foot ulceration at the time of study entry and who had a diagnosis of diabetes mellitus (either type 1 or type 2). The outcome variable was incident ulceration.
RESULTS: Our search identified 16 cohort studies and we obtained anonymised IPD for 10. These data were collected from more than 16,000 people with diabetes worldwide and reanalysed by us. One data set was kept for independent validation. The data sets contributing IPD covered a range of temporal, geographical and clinical settings. We therefore selected random-effects meta-analysis, which assumes not that all the estimates from each study are estimates of the same underlying true value, but rather that the estimates belong to the same distribution. We selected candidate variables for meta-analysis using specific criteria. After univariate meta-analyses, the most clinically important predictors were identified by an international steering committee for inclusion in the primary, multivariable meta-analysis. Age, sex, duration of diabetes, monofilaments and pulses were considered most prognostically important. Meta-analyses based on data from the entire IPD population found that an inability to feel a 10-g monofilament [odds ratio (OR) 3.184, 95% confidence interval (CI) 2.654 to 3.82], at least one absent pedal pulse (OR 1.968, 95% CI 1.624 to 2.386), a longer duration of a diagnosis of diabetes (OR 1.024, 95% CI 1.011 to 1.036) and a previous history of ulceration (OR 6.589, 95% CI 2.488 to 17.45) were all predictive of risk. Female sex was protective (OR 0.743, 95% CI 0.598 to 0.922). LIMITATIONS: It was not possible to perform a meta-analysis using a one-step approach because we were unable to procure copies of one of the data sets and instead accessed data via Safe Haven.
CONCLUSIONS: The findings from this review identify risk assessment procedures that can reliably inform national and international diabetes clinical guideline foot risk assessment procedures. The evidence from a large sample of patients in worldwide settings show that the use of a 10-g monofilament or one absent pedal pulse will identify those at moderate or intermediate risk of foot ulceration, and a history of foot ulcers or lower-extremity amputation is sufficient to identify those at high risk. We propose the development of a clinical prediction rule (CPR) from our existing model using the following predictor variables: insensitivity to a 10-g monofilament, absent pedal pulses and a history of ulceration or lower-extremities amputations. This CPR could replace the many tests, signs and symptoms that patients currently have measured using equipment that is either costly or difficult to use. STUDY REGISTRATION: This study is registered as PROSPERO CRD42011001841. FUNDING: The National Institute for Health Research Health Technology Assessment programme.

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Year:  2015        PMID: 26211920      PMCID: PMC4781379          DOI: 10.3310/hta19570

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  46 in total

1.  Preulcerous Risk Situation in Diabetic Foot Syndrome: Proposal for a Simple Ulcer Prevention Score.

Authors:  Stephan Kress; Helmut Anderten; Anja Borck; Guido Freckmann; Lutz Heinemann; Ulrike Holzmüller; Bernd Kulzer; Alexandra Portele; Oliver Schnell; Helga Varlemann; Claudia Zemmrich; Ralf Lobmann
Journal:  J Diabetes Sci Technol       Date:  2020-06-10

2.  Randomised controlled trials as part of clinical care: A seven-step routinisation framework proposal.

Authors:  Victoria Team; Carolina D Weller
Journal:  Int Wound J       Date:  2018-12-19       Impact factor: 3.315

3.  Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review.

Authors:  Kai Siang Chan; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2020-08-23       Impact factor: 3.315

4.  Risk assessments and structured care interventions for prevention of foot ulceration in diabetes: development and validation of a prognostic model.

Authors:  Fay Crawford; Francesca M Chappell; James Lewsey; Richard Riley; Neil Hawkins; Donald Nicolson; Robert Heggie; Marie Smith; Margaret Horne; Aparna Amanna; Angela Martin; Saket Gupta; Karen Gray; David Weller; Julie Brittenden; Graham Leese
Journal:  Health Technol Assess       Date:  2020-11       Impact factor: 4.014

5.  Prevalence of diabetic foot ulceration and associated risk factors: an old and still major public health problem in Khartoum, Sudan?

Authors:  Ahmed O Almobarak; Heitham Awadalla; Mugtaba Osman; Mohamed H Ahmed
Journal:  Ann Transl Med       Date:  2017-09

6.  Australian guideline on prevention of foot ulceration: part of the 2021 Australian evidence-based guidelines for diabetes-related foot disease.

Authors:  Michelle R Kaminski; Jonathan Golledge; Joel W J Lasschuit; Karl-Heinz Schott; James Charles; Jane Cheney; Anita Raspovic
Journal:  J Foot Ankle Res       Date:  2022-07-06       Impact factor: 3.050

7.  The silent overall burden of foot disease in a representative hospitalised population.

Authors:  Peter A Lazzarini; Sheree E Hurn; Suzanne S Kuys; Maarten C Kamp; Vanessa Ng; Courtney Thomas; Scott Jen; Jude Wills; Ewan M Kinnear; Michael C d'Emden; Lloyd F Reed
Journal:  Int Wound J       Date:  2016-10-03       Impact factor: 3.315

8.  [Development of a Diabetic Foot Ulceration Prediction Model and Nomogram].

Authors:  Eun Joo Lee; Ihn Sook Jeong; Seung Hun Woo; Hyuk Jae Jung; Eun Jin Han; Chang Wan Kang; Sookyung Hyun
Journal:  J Korean Acad Nurs       Date:  2021-06       Impact factor: 0.984

9.  Lower-Extremity Amputation Trends Among People With Diabetes in a Large Urban Environment.

Authors:  Kiran K Chatha; Brad Walsh; Javier La Fontaine; Michael E Bowen; Luigi Meneghini
Journal:  Diabetes Care       Date:  2021-04-06       Impact factor: 19.112

10.  Development and validation of a clinical prediction rule for development of diabetic foot ulceration: an analysis of data from five cohort studies.

Authors:  Francesca M Chappell; Fay Crawford; Margaret Horne; Graham P Leese; Angela Martin; David Weller; Andrew J M Boulton; Caroline Abbott; Matilde Monteiro-Soares; Aristidis Veves; Richard D Riley
Journal:  BMJ Open Diabetes Res Care       Date:  2021-05
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