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      Hydrocolloid dressings for healing diabetic foot ulcers

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          Abstract

          Foot ulcers in people with diabetes are a prevalent and serious global health issue. Wound dressings are regarded as important components of ulcer treatment, with clinicians and patients having many different types to choose from including hydrocolloid dressings. There is a range of different hydrocolloids available including fibrous‐hydrocolloid and hydrocolloid (matrix) dressings. A clear and current overview of current evidence is required to facilitate decision‐making regarding dressing use. To compare the effects of hydrocolloid wound dressings with no dressing or alternative dressings on the healing of foot ulcers in people with diabetes. For this first update, in April 2013, we searched the following databases the Cochrane Wounds Group Specialised Register; The Cochrane Central Register of Controlled Trials (CENTRAL) ( The Cochrane Library ); Ovid MEDLINE; Ovid MEDLINE (In‐Process & Other Non‐Indexed Citations); Ovid EMBASE; and EBSCO CINAHL. There were no restrictions based on language or date of publication. Published or unpublished randomised controlled trials (RCTs) that have compared the effects on ulcer healing of hydrocolloid with alternative wound treatments in the treatment of foot ulcers in people with diabetes. Two review authors independently performed study selection, risk of bias assessment and data extraction. We included five studies (535 participants) in the review: these compared hydrocolloids with basic wound contact dressings, foam dressings, alginate dressings and a topical treatment. Meta‐analysis of two studies indicated no statistically significant difference in ulcer healing between fibrous‐hydrocolloids and basic wound contact dressings: risk ratio 1.01 (95% CI 0.74 to 1.38). One of these studies found that a basic wound contact dressing was more cost‐effective than a fibrous‐hydrocolloid dressing. One study compared a hydrocolloid‐matrix dressing with a foam dressing and found no statistically significant difference in the number of ulcers healed. There was no statistically significant difference in healing between an antimicrobial (silver) fibrous‐hydrocolloid dressing and standard alginate dressing; an antimicrobial dressing (iodine‐impregnated) and a standard fibrous hydrocolloid dressing or a standard fibrous hydrocolloid dressing and a topical cream containing plant extracts. Currently there is no research evidence to suggest that any type of hydrocolloid wound dressing is more effective in healing diabetic foot ulcers than other types of dressing or a topical cream containing plant extracts. Decision makers may wish to consider aspects such as dressing cost and the wound management properties offered by each dressing type e.g. exudate management. Hydrocolloid dressings to promote foot ulcer healing in people with diabetes when compared with other dressing types Diabetes, a condition which leads to high blood glucose concentrations, is a common condition with around 2.8 million people affected in the UK (approximately 4.3% of the population). Dressings are commonly used to treat foot ulcers in people with diabetes. There are many types of dressings that can be used, which also vary considerably in cost.This review (four studies involving a total of 511 participants) identified no research evidence to suggest that any type of hydrocolloid wound dressing is more effective in healing diabetic foot ulcers than other types of dressing.

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          Most cited references60

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          The dysvascular foot: a system for diagnosis and treatment.

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            Issues in the selection of a summary statistic for meta-analysis of clinical trials with binary outcomes.

            Meta-analysis of binary data involves the computation of a weighted average of summary statistics calculated for each trial. The selection of the appropriate summary statistic is a subject of debate due to conflicts in the relative importance of mathematical properties and the ability to intuitively interpret results. This paper explores the process of identifying a summary statistic most likely to be consistent across trials when there is variation in control group event rates. Four summary statistics are considered: odds ratios (OR); risk differences (RD) and risk ratios of beneficial (RR(B)); and harmful outcomes (RR(H)). Each summary statistic corresponds to a different pattern of predicted absolute benefit of treatment with variation in baseline risk, the greatest difference in patterns of prediction being between RR(B) and RR(H). Selection of a summary statistic solely based on identification of the best-fitting model by comparing tests of heterogeneity is problematic, principally due to low numbers of trials. It is proposed that choice of a summary statistic should be guided by both empirical evidence and clinically informed debate as to which model is likely to be closest to the expected pattern of treatment benefit across baseline risks. Empirical investigations comparing the four summary statistics on a sample of 551 systematic reviews provide evidence that the RR and OR models are on average more consistent than RD, there being no difference on average between RR and OR. From a second sample of 114 meta-analyses evidence indicates that for interventions aimed at preventing an undesirable event, greatest absolute benefits are observed in trials with the highest baseline event rates, corresponding to the model of constant RR(H). The appropriate selection for a particular meta-analysis may depend on understanding reasons for variation in control group event rates; in some situations uncertainty about the choice of summary statistic will remain. Copyright 2002 John Wiley & Sons, Ltd.
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              Prevalence of diabetic peripheral neuropathy and its relation to glycaemic control and potential risk factors: the EURODIAB IDDM Complications Study.

              The EURODIAB IDDM Complications Study involved the examination of 3250 randomly selected insulin-dependent diabetic patients, from 31 centres in 16 European countries. Part of the examination included an assessment of neurological function including neuropathic symptoms and physical signs, vibration perception threshold, tests of autonomic function and the prevalence of impotence. The prevalence of diabetic neuropathy across Europe was 28% with no significant geographical differences. Significant correlations were observed between the presence of diabetic peripheral neuropathy with age (p < 0.05), duration of diabetes (p < 0.001), quality of metabolic control (p < 0.001), height (p < 0.01), the presence of background or proliferative diabetic retinopathy (p < 0.01), cigarette smoking (p < 0.001), high-density lipoprotein cholesterol (p < 0.001) and the presence of cardiovascular disease (p < 0.05), thus confirming previous associations. New associations have been identified from this study - namely with elevated diastolic blood pressure (p < 0.05), the presence of severe ketoacidosis (p < 0.001), an increase in the levels of fasting triglyceride (p < 0.001), and the presence of microalbuminuria (p < 0.01). All the data were adjusted for age, duration of diabetes and HbA1c. Although alcohol intake correlated with absence of leg reflexes and autonomic dysfunction, there was no overall association of alcohol consumption and neuropathy. The reported problems of impotence were extremely variable between centres, suggesting many cultural and attitudinal differences in the collection of such information in different European countries. In conclusion, this study has identified previously known and new potential risk factors for the development of diabetic peripheral neuropathy.
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                Author and article information

                Journal
                Cochrane Database of Systematic Reviews
                Wiley-Blackwell
                14651858
                August 06 2013
                :
                :
                Affiliations
                [1 ]Cochrane Wounds Group
                Article
                10.1002/14651858.CD009099.pub3
                7111300
                23922167
                1dc8cdf4-4f17-44d6-910a-5ae8a001477f
                © 2013
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