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Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol.

ABSTRACT: In the last decades, statistical methodology has developed rapidly, in particular in the field of regression modeling. Multivariable regression models are applied in almost all medical research projects. Therefore, the potential impact of statistical misconceptions within this field can be enormous Indeed, the current theoretical statistical knowledge is not always adequately transferred to the current practice in medical statistics. Some medical journals have identified this problem and published isolated statistical articles and even whole series thereof. In this systematic review, we aim to assess the current level of education on regression modeling that is provided to medical researchers via series of statistical articles published in medical journals. The present manuscript is a protocol for a systematic review that aims to assess which aspects of regression modeling are covered by statistical series published in medical journals that intend to train and guide applied medical researchers with limited statistical knowledge. Statistical paper series cannot easily be summarized and identified by common keywords in an electronic search engine like Scopus. We therefore identified series by a systematic request to statistical experts who are part or related to the STRATOS Initiative (STRengthening Analytical Thinking for Observational Studies). Within each identified article, two raters will independently check the content of the articles with respect to a predefined list of key aspects related to regression modeling. The content analysis of the topic-relevant articles will be performed using a predefined report form to assess the content as objectively as possible. Any disputes will be resolved by a third reviewer. Summary analyses will identify potential methodological gaps and misconceptions that may have an important impact on the quality of analyses in medical research. This review will thus provide a basis for future guidance papers and tutorials in the field of regression modeling which will enable medical researchers 1) to interpret publications in a correct way, 2) to perform basic statistical analyses in a correct way and 3) to identify situations when the help of a statistical expert is required.

SUBMITTER: Bach P

PROVIDER: S-EPMC7751867 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol.

Bach Paul P Wallisch Christine C Klein Nadja N Hafermann Lorena L Sauerbrei Willi W Steyerberg Ewout W EW Heinze Georg G Rauch Geraldine G

PloS one 20201221 12

In the last decades, statistical methodology has developed rapidly, in particular in the field of regression modeling. Multivariable regression models are applied in almost all medical research projects. Therefore, the potential impact of statistical misconceptions within this field can be enormous Indeed, the current theoretical statistical knowledge is not always adequately transferred to the current practice in medical statistics. Some medical journals have identified this problem and publish ...[more]

PMID: 33347441

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Project description:Although regression models play a central role in the analysis of medical research projects, there still exist many misconceptions on various aspects of modeling leading to faulty analyses. Indeed, the rapidly developing statistical methodology and its recent advances in regression modeling do not seem to be adequately reflected in many medical publications. This problem of knowledge transfer from statistical research to application was identified by some medical journals, which have published series of statistical tutorials and (shorter) papers mainly addressing medical researchers. The aim of this review was to assess the current level of knowledge with regard to regression modeling contained in such statistical papers. We searched for target series by a request to international statistical experts. We identified 23 series including 57 topic-relevant articles. Within each article, two independent raters analyzed the content by investigating 44 predefined aspects on regression modeling. We assessed to what extent the aspects were explained and if examples, software advices, and recommendations for or against specific methods were given. Most series (21/23) included at least one article on multivariable regression. Logistic regression was the most frequently described regression type (19/23), followed by linear regression (18/23), Cox regression and survival models (12/23) and Poisson regression (3/23). Most general aspects on regression modeling, e.g. model assumptions, reporting and interpretation of regression results, were covered. We did not find many misconceptions or misleading recommendations, but we identified relevant gaps, in particular with respect to addressing nonlinear effects of continuous predictors, model specification and variable selection. Specific recommendations on software were rarely given. Statistical guidance should be developed for nonlinear effects, model specification and variable selection to better support medical researchers who perform or interpret regression analyses.

Project description:Background64% of young medical professionals in Germany do not feel adequately prepared for the practical requirements of the medical profession. The goal of "outcome-orientated training" is to structure medical curricula based on the skills needed when entering the workforce after completing undergraduate medical education, and thus to bridge the gap between the skills graduates have attained and those necessary for a career in the medical profession. Outcome frameworks (OFs) are used for this purpose. In preparation for developing the National Competence-Based Catalogue of Learning Objectives for Medicine (NKLM) - the German OF - the "Consensus Statement of Practical Skills in Undergraduate Medical Education" (which structures the teaching and acquisition of practical skills in Germany and which strongly influenced the "Clinical-Practical Skills" chapter of the NKLM) was published in 2011. It is not uncommon for at least a decade to elapse between the definition and implementation of an OF and the students' graduation, which can further increase the gap between necessary and acquired skills. Thus, the purpose of this paper is to posit theses for future development in healthcare and to apply these theses to a current OF.MethodologyPartially structured interviews with experts were used to generate theses pertaining to general, future development in healthcare. These theses were assessed by physician experts based on the likelihood of implementation by the year 2025. The 288 learning goals of the consensus statement were assessed for their relevance for medical education in the interim.Results11 theses were generated for the development of medicine, and these theses were assessed and discussed by 738 experts. These theses include the increase in diseases associated with old age, the increasing significance of interprofessional cooperation, and the growing prevalence of telemedicine applications. Of the 288 learning goals of the consensus statement, 231 of the goals were assessed as relevant, and 57 were deemed irrelevant for the short-term future.DiscussionThe theses on the future of healthcare, which were generated in this study and which were validated by numerous experts, provide indications of future developments of overall requirements for medical school graduates. For example, when applied to the content of the "Clinical-Practical Skills" NKLM chapter, they largely validate the future relevance of developing practical skills while also providing indications for their further development as applied to the consensus statement.

Project description:Dermatomyositis is a heterogeneous idiopathic inflammatory myopathy associated with various cutaneous manifestations and variable presence of myositis, interstitial lung disease, and other visceral organ involvement. An accurate diagnosis of dermatomyositis requires correlating clinical examination findings with serological and histological findings. Familiarity with pathognomonic and common cutaneous manifestations of dermatomyositis, which are highlighted here, can be especially helpful in making an accurate diagnosis. Additionally, evaluating patients for presence of myositis-specific autoantibodies can further support or refute a dermatomyositis diagnosis. When present, myositis-specific autoantibodies can also help guide workups for various dermatomyositis-associated manifestations, as each is associated with relatively distinct clinical characteristics. Evaluating patients for various systemic manifestations often relies on expert opinion recommendations; however, societal guideline statements concerning the evaluation of some manifestations have recently been described. Although malignancy-associated dermatomyositis is a well-accepted subtype, there is limited evidence to support extensive malignancy screening has a favorable benefit-risk ratio in most dermatomyositis patients. However, recent research has uncovered novel associations between dermatomyositis and malignancy, suggesting the possibility of identifying high-risk subsets of dermatomyositis patients in whom malignancy screening may have a high value. Treatment for dermatomyositis has remained largely unchanged over the past several decades. Although many dermatomyositis patients can be effectively treated with current options, either as monotherapy or with combination regimens, there is a need for more targeted and effective DM therapies, in general, and for MDA5(+) dermatomyositis-associated rapidly progressive interstitial lung disease. Fortunately, significant current and emerging research activities evaluating various novel medications for dermatomyositis provide hope for exciting future advances in patients with this intriguing immune-mediated disease.

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Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol.

Publications

Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol.

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