BMC Family Practice
Geisel School of Medicine
Chest pain is a common complaint in primary care, with coronary heart disease (CHD) being the most concerning of many potential causes. Systematic reviews on the sensitivity and specificity of symptoms and signs summarize the evidence about which of them are most useful in making a diagnosis. Previous meta-analyses are dominated by studies of patients referred to specialists. Moreover, as the analysis is typically based on study-level data, the statistical analyses in these reviews are limited while meta-analyses based on individual patient data can provide additional information. Our patient-level meta-analysis has three unique aims. First, we strive to determine the diagnostic accuracy of symptoms and signs for myocardial ischemia in primary care. Second, we investigate associations between study- or patient-level characteristics and measures of diagnostic accuracy. Third, we aim to validate existing clinical prediction rules for diagnosing myocardial ischemia in primary care. This article describes the methods of our study and six prospective studies of primary care patients with chest pain. Later articles will describe the main results.
Haasenritter J, Aerts M, Bösner S, Buntinx F, Burnand B, Herzig L, Knottnerus JA, Minalu G, Nilsson S, Renier W, Sox C, Sox H, Donner-Banzhoff N. Coronary heart disease in primary care: accuracy of medical history and physical findings in patients with chest pain--a study protocol for a systematic review with individual patient data. BMC Fam Pract. 2012 Aug 9;13:81. doi: 10.1186/1471-2296-13-81. PMID: 22877212; PMCID: PMC3545850.
Dartmouth Digital Commons Citation
Haasenritter, Jörg; Aerts, Marc; Bösner, Stefan; Buntinx, Frank; Burnand, Bernard; Herzig, Lilli; Knottnerus, J André; Minalu, Girma; Nilsson, Staffan; Renier, Walter; Sox, Carol; Sox, Carol; Sox, Harold; and Donner-Banzhoff, Norbert, "Coronary Heart Disease in Primary Care: Accuracy of Medical History and Physical Findings in Patients with Chest Pain – A Study Protocol for a Systematic Review with Individual Patient Data" (2012). Dartmouth Scholarship. 587.