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Is an increase in skin temperature predictive of neuropathic foot ulceration in people with diabetes? A systematic review and meta-analysis.

Houghton VJ, Bower VM, Chant DC - J Foot Ankle Res (2013)

Bottom Line: The theory that there is a mean norm foot temperature which can be used as a benchmark to monitor pathological change was unsupported by this meta-analysis.The conclusions derived from this review are based on the best available scientific evidence in this field.Based on quality studies in this area, the results of this review have indicated that the use of temperature-monitoring is an effective way to predict, and thus prevent, diabetic foot ulceration.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Surgery, University of Western Australia, Perth, Australia. virginia.bower@uwa.edu.au.

ABSTRACT

Introduction: The aim of this systematic review was to evaluate the strength of the existing research to answer the question: Is an increase in skin temperature predictive of neuropathic foot ulceration in people with diabetes?

Methods: This study is a systematic review and meta-analysis of temperature-monitoring in the prediction and prevention of diabetic foot ulceration. Two investigators conducted a literature search for all relevant articles from 1960 until July 2011. During this process the following data bases were searched: MEDLINE, Science Direct, AMED, Australian Medical Index, APAIS-Health, ATSIhealth, EMBASE, Web of Science and OneSearch. Keywords used in this search included diabetes, foot complications, ulceration, temperature-monitoring, prediction and prevention.

Results: Results of the meta-analysis support the theory that an increase in skin temperature is predictive of foot ulceration when compared with the same site on the contralateral limb. The theory that there is a mean norm foot temperature which can be used as a benchmark to monitor pathological change was unsupported by this meta-analysis.

Conclusions: The conclusions derived from this review are based on the best available scientific evidence in this field. It is intended that the results of this study will improve clinical decision-making and encourage the appropriate measures used to predict and prevent ulceration in people with diabetes at high risk of foot complications. Based on quality studies in this area, the results of this review have indicated that the use of temperature-monitoring is an effective way to predict, and thus prevent, diabetic foot ulceration.

No MeSH data available.


Related in: MedlinePlus

Random effects modelling of eight mean temperature differences in the “Effect” column (°F) and associated forest plot of observed mean temperature differences (°F, 95% CI) for groups “one” and “two”.
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Figure 2: Random effects modelling of eight mean temperature differences in the “Effect” column (°F) and associated forest plot of observed mean temperature differences (°F, 95% CI) for groups “one” and “two”.

Mentions: A mean difference of 3.45 was found when comparing the two covariate groups using weighted linear regression. The lower 95% confidence limit of 0.77 is above zero, corresponding to a statistical hypothesis test of no treatment difference having a p-value of less than 0.05, a value which is usually taken as moderate evidence against the associated hypothesis. These results are summarised in Figure 2.


Is an increase in skin temperature predictive of neuropathic foot ulceration in people with diabetes? A systematic review and meta-analysis.

Houghton VJ, Bower VM, Chant DC - J Foot Ankle Res (2013)

Random effects modelling of eight mean temperature differences in the “Effect” column (°F) and associated forest plot of observed mean temperature differences (°F, 95% CI) for groups “one” and “two”.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3750703&req=5

Figure 2: Random effects modelling of eight mean temperature differences in the “Effect” column (°F) and associated forest plot of observed mean temperature differences (°F, 95% CI) for groups “one” and “two”.
Mentions: A mean difference of 3.45 was found when comparing the two covariate groups using weighted linear regression. The lower 95% confidence limit of 0.77 is above zero, corresponding to a statistical hypothesis test of no treatment difference having a p-value of less than 0.05, a value which is usually taken as moderate evidence against the associated hypothesis. These results are summarised in Figure 2.

Bottom Line: The theory that there is a mean norm foot temperature which can be used as a benchmark to monitor pathological change was unsupported by this meta-analysis.The conclusions derived from this review are based on the best available scientific evidence in this field.Based on quality studies in this area, the results of this review have indicated that the use of temperature-monitoring is an effective way to predict, and thus prevent, diabetic foot ulceration.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Surgery, University of Western Australia, Perth, Australia. virginia.bower@uwa.edu.au.

ABSTRACT

Introduction: The aim of this systematic review was to evaluate the strength of the existing research to answer the question: Is an increase in skin temperature predictive of neuropathic foot ulceration in people with diabetes?

Methods: This study is a systematic review and meta-analysis of temperature-monitoring in the prediction and prevention of diabetic foot ulceration. Two investigators conducted a literature search for all relevant articles from 1960 until July 2011. During this process the following data bases were searched: MEDLINE, Science Direct, AMED, Australian Medical Index, APAIS-Health, ATSIhealth, EMBASE, Web of Science and OneSearch. Keywords used in this search included diabetes, foot complications, ulceration, temperature-monitoring, prediction and prevention.

Results: Results of the meta-analysis support the theory that an increase in skin temperature is predictive of foot ulceration when compared with the same site on the contralateral limb. The theory that there is a mean norm foot temperature which can be used as a benchmark to monitor pathological change was unsupported by this meta-analysis.

Conclusions: The conclusions derived from this review are based on the best available scientific evidence in this field. It is intended that the results of this study will improve clinical decision-making and encourage the appropriate measures used to predict and prevent ulceration in people with diabetes at high risk of foot complications. Based on quality studies in this area, the results of this review have indicated that the use of temperature-monitoring is an effective way to predict, and thus prevent, diabetic foot ulceration.

No MeSH data available.


Related in: MedlinePlus