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Causes of chest pain in primary care – a systematic review and meta-analysis
AIM: To investigate the frequencies of different and relevant underlying etiologies of chest pain in general practice. METHODS: We systematically searched PubMed and EMBASE. Two reviewers independently rated the eligibility of publications and assessed the risk of bias of included studies. We extrac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Croatian Medical Schools
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655927/ https://www.ncbi.nlm.nih.gov/pubmed/26526879 http://dx.doi.org/10.3325/cmj.2015.56.422 |
Sumario: | AIM: To investigate the frequencies of different and relevant underlying etiologies of chest pain in general practice. METHODS: We systematically searched PubMed and EMBASE. Two reviewers independently rated the eligibility of publications and assessed the risk of bias of included studies. We extracted data to calculate the relative frequencies of different underlying conditions and investigated the variation across studies using forest plots, I(2), tau(2), and prediction intervals. With respect to unexplained heterogeneity, we provided qualitative syntheses instead of pooled estimates. RESULTS: We identified 11 eligible studies comprising about 6500 patients. The overall risk of bias was rated as low in 6 studies comprising about 3900 patients. The relative frequencies of different conditions as the underlying etiologies of chest pain reported by these studies ranged from 24.5 to 49.8% (chest wall syndrome), 13.8 to 16.1% (cardiovascular diseases), 6.6 to 11.2% (stable coronary heart disease), 1.5 to 3.6% (acute coronary syndrome/myocardial infarction), 10.3 to 18.2% (respiratory diseases), 9.5 to 18.2% (psychogenic etiologies), 5.6 to 9.7% (gastrointestinal disorders), and 6.0 to 7.1% (esophageal disorders). CONCLUSION: This information may be of practical value for general practitioners as it provides the pre-test probabilities for a range of underlying diseases and may be suitable to guide the diagnostic process. |
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