Johannes B Reitsma

Biographic Data

ID7388429
NAMEJohannes B Reitsma
GIVEN NAMESJohannes B
FAMILY NAMEReitsma
SIGNATUREREITSMA J B
AFFILIATIONSNetherlands Bioinformatics Centre
ORCID0000-0003-4026-4345
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS4
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2020
H-INDEX1

  • Prediction models for diagnosis and prognosis of covid-19

    Open AccessLaure Wynants, Ben Van Calster et al.ARTICLEBMJ2020

  • Calculating the sample size required for developing a clinical prediction model

    Open AccessRichard D Riley, Joie Ensor et al.ARTICLEBMJ2020

    Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or prognosis in healthcare. Hundreds of prediction models are published in the medical literature each year, yet many are developed using a dataset that is too small for the total number of participants or outcome events. This leads to inaccurate predictions and consequently incorrect healthcare decisions for some individuals. In this article, the authors provi…

  • Quadas-2

    Open AccessPenny Whiting, Penny F Whiting et al.ARTICLEAnnals of Internal Medicine2011

    In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Sig…

  • Ethnic differences in stillbirth and early neonatal mortality in The Netherlands

    Anita C J Ravelli, M Tromp et al.ARTICLEJournal of Epidemiology and…2011Cited by: 3References: 27

    BACKGROUND: Ethnic disparities in perinatal mortality are well known. This study aimed to explore the contribution of demographic, socioeconomic, health behavioural and pre-existent medical risk factors among different ethnic groups on fetal and early neonatal mortality. METHODS: We assessed perinatal mortality from 24.0 weeks' gestation onwards in 554 234 singleton pregnancies of nulliparous women in the linked Netherlands Perinatal Registry ove…

  • Increasing maternal age at first pregnancy planning

    M Tromp, Anita C J Ravelli et al.ARTICLEJournal of Epidemiology and…2011Cited by: 1References: 27

    OBJECTIVES: To describe the consequences in terms of health outcomes, care and associated healthcare costs for three hypothetical cohorts of women planning their first pregnancy at a fixed, different age. DESIGN: Decision model based on data from perinatal registries and the literature. SETTING: The Netherlands. POPULATION: 3 hypothetical cohorts of 100, 000 women aged 23, 29 and 36 years, planning a first pregnancy. MAIN OUTCOME MEASURES: Live b…

  • Age- and gender-specific risk of death after first hospitalization for heart failure

    Open AccessIlonca Vaartjes, AW Hoes et al.ARTICLEBMC Public Health2010

    This study clearly shows age- and gender differences in short- and long-term risk of death after first hospitalization for HF with men having higher short- and long-term risk of death than women. As our study population includes both men and women from all ages, the estimates we provide maybe a good reflection of 'daily practice' risk of death and therefore be valuable for clinicians and policymakers

  • P04 Age- and gender-specific risk of death after first hospital admission for heart failure

    Ilonca Vaartjes, Arno W Hoes et al.ARTICLEJournal of Epidemiology and…2010

    Objective Heart failure (HF) is an important public health problem. Detailed information on prognosis following hospital admission is crucial for cost-effectiveness analysis and determination of the burden of HF on the health care system. However, such data are scarce. Therefore, the objective of this study was to provide mortality risk following hospital admission stratified by age- and gender. Design Hospital based follow-up study. Setting and …

  • Regional perinatal mortality differences in the Netherlands; care is the question

    Open AccessMiranda Tromp, Martine Eskes et al.ARTICLEBMC Public Health2009

    Regional differences in perinatal mortality exist in the Netherlands. These differences could not be explained by demographic or socio-economic factors, however clinical risk group analysis showed indications for a role of health care factors