Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis

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Abstract

<p class="first" id="d9025500e87">To undertake a systematic review of the literature to investigate the HRQOL among adults living with DFUs. </p>

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A comparison of statistical methods for meta-analysis.

S E Brockwell, I R Gordon (2001)

Meta-analysis may be used to estimate an overall effect across a number of similar studies. A number of statistical techniques are currently used to combine individual study results. The simplest of these is based on a fixed effects model, which assumes the true effect is the same for all studies. A random effects model, however, allows the true effect to vary across studies, with the mean true effect the parameter of interest. We consider three methods currently used for estimation within the framework of a random effects model, and illustrate them by applying each method to a collection of six studies on the effect of aspirin after myocardial infarction. These methods are compared using estimated coverage probabilities of confidence intervals for the overall effect. The techniques considered all generally have coverages below the nominal level, and in particular it is shown that the commonly used DerSimonian and Laird method does not adequately reflect the error associated with parameter estimation, especially when the number of studies is small. Copyright 2001 John Wiley & Sons, Ltd.

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Summing up evidence: one answer is not always enough.

Garnet J. Lau, Lisa J. Ioannidis, C Schmid (1998)

Are meta-analyses the brave new world, or are the critics of such combined analyses right to say that the biases inherent in clinical trials make them uncombinable? Negative trials are often unreported, and hence can be missed by meta-analysts. And how much heterogeneity between trials is acceptable? A recent major criticism is that large randomised trials do not always agree with a prior meta-analysis. Neither individual trials nor meta-analyses, reporting as they do on population effects, tell how to treat the individual patient. Here we take a more rounded approach to meta-analyses, arguing that their strengths outweigh their weaknesses, although the latter must not be brushed aside.

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Diabetic foot ulcer--A review on pathophysiology, classification and microbial etiology.

Saba Noor, Mohammad Zubair, Jamal Ahmad (2015)

As the prevalence of diabetes is increasing globally, secondary complications associated to this endocrinal disorder are also ascending. Diabetic foot ulcers are potentially modifying complications. Disruption of harmony in glucose homeostasis causes hyperglycemic status, results in activation of certain metabolic pathways which in their abnormal state subsequently leads to development of vascular insufficiency, nerve damages headed by ulceration in lower extremity due to plantar pressures and foot deformity. Insult to foot caused by trauma at the affected site goes unnoticeable to patient due to loss of sensation. Among the above mention causes, resistance to infection is also considered as chief modulator of pathophysiological image of diabetic foot lesions. Healing as well as non-healing nature of ulcer relies upon the wound microbial communities and the extent of their pathogenicity. A validated classification system of foot ulcer is primarily necessary for clinicians in management of diabetic foot problems. Another aspect which needs management is proper identification of causative pathogen causing infection. The way of approaches presently employed in the diagnosis for treatment of foot ulcer colonized by different microbes is conventional techniques. Conventional diagnostic methods are widely acceptable since decades. But in recent years newly invented molecular techniques are exploring the use of 16S ribosomal regions specific to prokaryotes in bacterial identification and quantification. Molecular techniques would be a better choice if engaged, in finding the specific species harboring the wound.

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Journal

Title: Quality of Life Research

Abbreviated Title: Qual Life Res

Publisher: Springer Science and Business Media LLC

ISSN (Print): 0962-9343

ISSN (Electronic): 1573-2649

Publication date Created: June 2019

Publication date (Electronic): December 18 2018

Publication date (Print): June 2019

Volume: 28

Issue: 6

Pages: 1413-1427

Article

DOI: 10.1007/s11136-018-2082-2

PubMed ID: 30565072

SO-VID: be131bee-04fd-4b8a-9fb2-c5ce99978ead

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http://www.springer.com/tdm

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Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis

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Most cited references 34

A comparison of statistical methods for meta-analysis.

Summing up evidence: one answer is not always enough.

Diabetic foot ulcer--A review on pathophysiology, classification and microbial etiology.

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Journal

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