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Meta-Analysis
. 2024 Feb 6;24(1):57.
doi: 10.1186/s12883-024-03547-w.

The prevalence and risk factors for phantom limb pain: a cross-sectional survey

Katleho Limakatso  1   2 , F Ndhlovu  3 , A Usenbo  3 , S Rayamajhi  4 , C Kloppers  4 , R Parker  5
Affiliations
Meta-Analysis

The prevalence and risk factors for phantom limb pain: a cross-sectional survey

Katleho Limakatso et al. BMC Neurol. .

Abstract

Background: We previously performed a systematic review and meta-analysis which revealed a Phantom Limb Pain (PLP) prevalence estimate of 64% [95% CI: 60.01-68.1]. The prevalence estimates varied significantly between developed and developing countries. Remarkably, there is limited evidence on the prevalence of PLP and associated risk factors in African populations.

Methods: Adults who had undergone limb amputations between January 2018 and October 2022 were recruited from healthcare facilities in the Western and Eastern Cape Provinces. We excluded individuals with auditory or speech impairments that hindered clear communication via telephone. Data on the prevalence and risk factors for PLP were collected telephonically from consenting and eligible participants. The prevalence of PLP was expressed as a percentage with a 95% confidence interval. The associations between PLP and risk factors for PLP were tested using univariate and multivariable logistic regression analyses. The strength of association was calculated using the Odds Ratio where association was confirmed.

Results: The overall PLP prevalence was 71.73% [95% CI: 65.45-77.46]. Persistent pre-operative pain, residual limb pain, and non-painful phantom limb sensations were identified as risk factors for PLP.

Conclusion: This study revealed a high prevalence of PLP. The use of effective treatments targeting pre-amputation pain may yield more effective and targeted pre-amputation care, leading to improved quality of life after amputation.

Keywords: Africa; Limb amputations; Phantom limb pain; Prevalence; Risk factors.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The STROBE flow diagram illustrating the recruitment, data collection, and data analysis processes
Fig. 2
Fig. 2
The univariate and multivariable analyses of risk factors for PLP (n = 231)
See this image and copyright information in PMC

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