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The prevalence and risk factors for phantom limb pain in people with amputations: A systematic review and meta-analysis

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  • Katleho Limakatso
  • Gillian J Bedwell
  • Victoria J Madden
  • Romy Parker

Abstract

Background: Phantom limb pain (PLP)—pain felt in the amputated limb–is often accompanied by significant suffering. Estimates of the burden of PLP have provided conflicting data. To obtain a robust estimate of the burden of PLP, we gathered and critically appraised the literature on the prevalence and risk factors associated with PLP in people with limb amputations. Methods: Articles published between 1980 and July 2019 were identified through a systematic search of the following electronic databases: MEDLINE/PubMed, PsycINFO, PsycArticles, Cumulative Index to Nursing and Allied Health Literature, Africa-Wide Information, Health Source: Nursing/Academic Edition, SCOPUS, Web of Science and Academic Search Premier. Grey literature was searched on databases for preprints. Two reviewers independently conducted the screening of articles, data extraction and risk of bias assessment. The meta-analyses were conducted using the random effects model. A statistically significant level for the analyses was set at p

Suggested Citation

  • Katleho Limakatso & Gillian J Bedwell & Victoria J Madden & Romy Parker, 2020. "The prevalence and risk factors for phantom limb pain in people with amputations: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-21, October.
    • Handle: RePEc:plo:pone00:0240431
    DOI: 10.1371/journal.pone.0240431
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    1. repec:abf:journl:v:31:y:2020:i:3:p:24253-24254 is not listed on IDEAS
    2. Robin Bekrater-Bodmann & Michael Schredl & Martin Diers & Iris Reinhard & Jens Foell & Jörg Trojan & Xaver Fuchs & Herta Flor, 2015. "Post-Amputation Pain Is Associated with the Recall of an Impaired Body Representation in Dreams—Results from a Nation-Wide Survey on Limb Amputees," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    3. Mark Nicolich & John Gamble, 2011. "What is the Minimum Risk that can be Estimated from an Epidemiology Study?," Chapters, in: Anca Maria Moldoveanu (ed.), Advanced Topics in Environmental Health and Air Pollution Case Studies, IntechOpen.
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