Types of Study in Medical Research

Röhrig, Bernd; Wachtlin, Daniel; Blettner, Maria

doi:10.3238/arztebl.2009.0262

Cited by 125 publications

(79 citation statements)

References 25 publications

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“…Next, manual scoring (Figure 1a, Methods) revealed that only about half of the PubMed identified publications (n = 572, 54%) were primarily driven by Nigerian laboratories. From here, we categorised each remaining article as either basic research ('Basic', n = 255%, 45.5%) or 'clinical and epidemiological' research ('Clinical', n = 318%, 55.5%) based on the criteria for types of studies in medical research (Röhrig, du Prel, Wachtlin, & Blettner, 2009). This numerical dominance of clinical over basic research output is consistent with previous studies (Abd-Allah et al, 2016).…”

Section: Assess the Neuroscience Research Output From Nigeriamentioning

confidence: 99%

African neuroscience on the global stage: Nigeria as a model

Maina

Mohammed

Bukar

et al. 2019

Eur J of Neuroscience

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Section: Assess the Neuroscience Research Output From Nigeriamentioning

confidence: 99%

African neuroscience on the global stage: Nigeria as a model

Maina

Mohammed

Bukar

et al. 2019

Eur J of Neuroscience

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“…Although the size of our cohort limits a comprehensive representation of national reporting trends, the chosen sources are all major news outlets in their respective countries and so likely provide a reasonable indication of broader trends. It was also assumed that all studies could be classified according to the model outlined by Röhrig et al [56].…”

Section: Limitationsmentioning

confidence: 99%

Cancer In The News: Bias And Quality In Media Reporting Of Cancer Research

Amberg

Saunders

2018

Preprint

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Cancer research in the news is often associated with sensationalising and inaccurate reporting, giving rise to false hopes and expectations. The role of study selection for cancer-related news stories is an important but less commonly acknowledged issue, as the outcomes of primary research are generally less reliable than those of meta-analyses and systematic reviews. Few studies have investigated the quality of research that makes the news and no previous analyses of the proportions of primary and secondary research in the news have been found in the literature.The main aim of this study was to investigate the nature and quality of cancer research covered in online news reports by four major news sources from USA, UK and Australia. We measured significant variation in reporting quality, and observed biases in many aspects of cancer research reporting, including the types of study selected for coverage, and in the spectrum of cancer types, gender of scientists, and geographical source of research represented. We discuss the implications of these finding for guiding accurate, contextual reporting of cancer research, which is critical in helping the public understand complex science and appreciate the outcomes of publicly funded research, avoid undermining trust in science, and assist informed decision-making.

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“…Randomisierte kontrollierte Studien gelten in der medizinischen Forschung als Goldstandard, sind aber kostenintensiv und schwierig durchzuführen [20]. …”

Section: Big Data Und Klinische Studienunclassified

“…ICD, SNOMED CT, HL7 sind bekannte Ansätze, medizinisch relevante Daten zu strukturieren und maschinell zu bearbeiten. Die reine Größe -68.000 ICD-10-Codes und mehr als 300.000 Konzepte in SNOMED CT [22] -gibt allerdings schon einen Eindruck von der Komplexität der Speicherung, des Managements und des Zugriffs auf derart kodierte Medizindaten [20,23].…”

Section: Technische Hürdenunclassified

Big Data in Medizin und Gesundheitswesen

Rüping

2015

Bundesgesundheitsbl.

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Healthcare is one of the business fields with the highest Big Data potential. According to the prevailing definition, Big Data refers to the fact that data today is often too large and heterogeneous and changes too quickly to be stored, processed, and transformed into value by previous technologies. The technological trends drive Big Data: business processes are more and more executed electronically, consumers produce more and more data themselves - e.g. in social networks - and finally ever increasing digitalization. Currently, several new trends towards new data sources and innovative data analysis appear in medicine and healthcare. From the research perspective, omics-research is one clear Big Data topic. In practice, the electronic health records, free open data and the "quantified self" offer new perspectives for data analytics. Regarding analytics, significant advances have been made in the information extraction from text data, which unlocks a lot of data from clinical documentation for analytics purposes. At the same time, medicine and healthcare is lagging behind in the adoption of Big Data approaches. This can be traced to particular problems regarding data complexity and organizational, legal, and ethical challenges. The growing uptake of Big Data in general and first best-practice examples in medicine and healthcare in particular, indicate that innovative solutions will be coming. This paper gives an overview of the potentials of Big Data in medicine and healthcare.

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Types of Study in Medical Research

Abstract: The study type that can best answer the particular research question at hand must be determined not only on a purely scientific basis, but also in view of the available financial resources, staffing, and practical feasibility (organization, medical prerequisites, number of patients, etc.).

Cited by 125 publications

References 25 publications

African neuroscience on the global stage: Nigeria as a model

African neuroscience on the global stage: Nigeria as a model

Cancer In The News: Bias And Quality In Media Reporting Of Cancer Research

Big Data in Medizin und Gesundheitswesen

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