Overview of risk aggregation approach in different risk scenarios

Chen, Meng; Bao, Chunbing; Meng, Qing-Hao

doi:10.1016/j.procs.2022.11.316

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…However, it is unlikely that one overarching factor leads to development of CMP for affected individuals, but rather the combination of multiple factors. Risk aggregation methods, whereby the overall risk is considered the sum of individual risks [ 69 ], can be utilised to demonstrate a theoretical example of the combined odds of developing CMP in the presence of multiple biopsychosocial factors (see Fig 3 ). In this example, five common biopsychosocial factors are combined creating an aggregated odds ratio of 10.05 for development of CMP, which is considered a very large increase in risk [ 68 ].…”

Section: Discussionmentioning

confidence: 99%

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The biopsychosocial factors associated with development of chronic musculoskeletal pain. An umbrella review and meta-analysis of observational systematic reviews

Dunn,

Rushton,

Mistry

et al. 2024

PLoS ONE

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Aim The aim of this umbrella review was to establish which biopsychosocial factors are associated with development of chronic musculoskeletal pain. Methods Ovid Medline, Embase, Web of Science Core Collection, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, PsycINFO, CINAHL, PEDro, PROSPERO, Google Scholar and grey literature were searched from database inception to 4th April 2023. Systematic reviews of observational prospective longitudinal studies, including populations with <3 months (not chronic) musculoskeletal pain, investigating biopsychosocial factors that contribute to development of chronic (>3 months) musculoskeletal pain. Two reviewers searched the literature, assessed risk of bias (Assessing the Methodological Quality of Systematic Reviews-2), and evaluated quality (Grading of Recommendations, Assessment, Development and Evaluation) to provide an overall statement on the certainty of evidence for each biopsychosocial factor. Data analysis was performed through random effects meta-analysis (including meta-analysis of meta-analyses where possible) and descriptive synthesis. Results 13 systematic reviews were included comprising 185 original research studies (n = 489,644 participants). Thirty-four biopsychosocial factors are associated with development of chronic musculoskeletal pain. Meta-analyses of odds and/or likelihood ratios were possible for 25 biopsychosocial factors. There is moderate certainty evidence that smoking (OR 1.24 [95%CI, 1.14–1.34), fear avoidance (LR+ 2.11 [95%CI, 1.59–2.8]; LR- 0.5 [95%CI, 0.35–0.71]) poorer support networks (OR 1.21 [95%CI, 1.14–1.29]), lower socioeconomic status (OR 2.0 [95%CI, 1.64–2.42]), and high levels of pain (OR 5.61 [95%CI, 3.74–8.43]) are associated with development of chronic musculoskeletal pain (all P<0.001). Remaining factors are of low or very low certainty evidence. Conclusions and relevance There is moderate certainty evidence that smoking, fear avoidance, poorer support networks, lower socioeconomic status, and high levels of pain are associated with development of chronic musculoskeletal pain. High risk of bias was evident in most included reviews; this highlights the need for higher quality systematic reviews.

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Section: Discussionmentioning

confidence: 99%

“… Based on risk aggregation methods [ 69 ]. Formula: (OR) + (OR) + (OR) + (OR) + (OR)–(total number of odds ratios) + 1.0.…”

Section: Discussionmentioning

confidence: 99%