IMPORTANCE A significant portion of neurology literature is published in general medicine journals.Despite this, a detailed examination of publication patterns of neurology articles in these journalshas not yet been carried out.OBJECTIVE To examine the publication patterns of neurology articles in general medicine journals during a 10-year period using a bibliometric approach. DESIGN, SETTING, AND PARTICIPANTSThis cross-sectional bibliometric analysis identified the top 5 general medicine journals using the 2017 Journal Citations Report. Four other medical subspecialties (ie, immunology, endocrinology, gastroenterology, and pulmonology) were selected for comparison of publication patterns with neurology. Using MEDLINE, the 5 journals were searched for articles published between 2009 and 2018 that were indexed with the following MeSH terms: nervous system diseases, immune system diseases, endocrine system diseases, gastrointestinal diseases, and respiratory tract diseases. Data analysis was conducted from February 2019 to December 2020. MAIN OUTCOMES AND MEASURESPublications were characterized by journal, specialty, and study design. These variables were used for comparison of publication numbers. RESULTSThe general medicine journals with the 5 highest journal impact factors (JIF) were New

BACKGROUND AND PURPOSE:The superior diagnostic accuracy of fetal MR imaging in detecting fetal brain abnormalities has been previously demonstrated; however, the ability of fetal MR imaging to prognosticate postnatal outcome is not well-studied. We performed a retrospective analysis to determine the prognostic accuracy of fetal MR imaging in predicting postnatal neurodevelopmental outcome. MATERIALS AND METHODS:We identified all fetal MR imaging performed at the Children's Hospital of Eastern Ontario during a 10-year period and assessed agreement between prenatal prognosis and postnatal outcome. Prenatal prognosis was determined by a pediatric neurologist who reviewed the fetal MR imaging report and categorized each pregnancy as having a favorable, indeterminate, or poor prognosis. Assessment of postnatal neurodevelopmental outcome was made solely on the basis of the child's Gross Motor Function Classification System score and whether the child developed epilepsy. Postnatal outcome was categorized as favorable, intermediate, or poor. We also assessed the diagnostic accuracy of fetal MR imaging by comparing prenatal and postnatal imaging diagnoses. RESULTS:We reviewed 145 fetal MR images: 114 were included in the assessment of diagnostic accuracy, and 104 were included in the assessment of prognostic accuracy. There was 93.0% agreement between prenatal and postnatal imaging diagnoses. Prognosis was favorable in 44.2%, indeterminate in 50.0%, and poor in 5.8% of pregnancies. There was 93.5% agreement between a favorable prenatal prognosis and a favorable postnatal outcome. CONCLUSIONS:A favorable prenatal prognosis is highly predictive of a favorable postnatal outcome. Further studies are required to better understand the role of fetal MR imaging in prognosticating postnatal development, particularly in pregnancies with indeterminate and poor prognoses.

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Introduction: The diagnostic yield of brain Magnetic Resonance Imaging (MRI) in spontaneous intracerebral hemorrhage (ICH) is unclear. We performed both an independent single-center retrospective cohort study and a meta-analysis to assess the detection rate of secondary lesions on MRI in patients with spontaneous ICH. Patients and methods: In the retrospective cohort study, we examined 856 consecutive patients with spontaneous ICH. Brain MRI scans on admission and follow-up were assessed for secondary lesions. We also examined clinical and CT radiographic variables associated with secondary lesions in univariable analysis. In the meta-analysis we searched PubMed and EMBASE for articles investigating the secondary lesion detection rate on brain MRI in spontaneous ICH. Results: Of the 856 patients with ICH, 481 (56%) had at least one brain BRI performed [70 ± 14 years, 270 (56% male)]. 462 (54%) had an admission MRI and 138 (16%) had both admission and follow-up MRIs. The detection rate of secondary lesions on admission MRIs was 24/462 (5.2%). 4/127 (3.1%) patients with a negative admission MRI had a lesion identified on follow-up MRI. No clinical or radiographic variables were associated with a secondary lesion on MRI using univariable analysis. The meta-analysis included five studies total (four identified in the PubMed and EMBASE searches and our cohort study) comprising 1147 patients with spontaneous ICH who underwent brain MRI. The pooled detection rate of secondary lesions was 11% (95% CI: 7–16). Discussion and conclusion: No predictors of secondary lesion detection were identified in our cohort study. Prospective studies are required to better understand the diagnostic utility of MRI in spontaneous ICH.