Responsiveness of researchers is as important as responsiveness of study participants

According to the authors, rapid products have to be prepared in a very different context than standard systematic reviews and have tremendous methodological variation, and there is little empiric evidence on the validity of their results and conclusions. According to Papageorgiou c.s. the reporting...

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Published inJournal of clinical epidemiology Vol. 68; no. 12; pp. 1385 - 1387
Main Author Knottnerus, J. André
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2015
Elsevier Limited
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ISSN0895-4356
1878-5921
1878-5921
DOI10.1016/j.jclinepi.2015.10.008

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Abstract According to the authors, rapid products have to be prepared in a very different context than standard systematic reviews and have tremendous methodological variation, and there is little empiric evidence on the validity of their results and conclusions. According to Papageorgiou c.s. the reporting of the study design in orthodontics should be improved.\n Using cancer registry data combined with simulated patterns of underreporting of deceased cases, the authors concluded that the DCO proportions derived for the restricted period are a better indicator of potential bias than DCO proportions for the full period.
AbstractList According to the authors, rapid products have to be prepared in a very different context than standard systematic reviews and have tremendous methodological variation, and there is little empiric evidence on the validity of their results and conclusions. According to Papageorgiou c.s. the reporting of the study design in orthodontics should be improved.\n Using cancer registry data combined with simulated patterns of underreporting of deceased cases, the authors concluded that the DCO proportions derived for the restricted period are a better indicator of potential bias than DCO proportions for the full period.
Author Knottnerus, J. André
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Cites_doi 10.1016/j.jclinepi.2006.11.023
10.1016/j.jclinepi.2015.02.012
10.1016/j.jclinepi.2014.08.013
10.1177/0272989X9201200202
10.1016/j.jclinepi.2014.05.007
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SubjectTerms Checklist - statistics & numerical data
Data Accuracy
Data Interpretation, Statistical
Decision making
Editorials
Epidemiology
Humans
Internal Medicine
Patients
Professional-Patient Relations
Publishing - statistics & numerical data
Research Design - statistics & numerical data
Research Personnel - statistics & numerical data
Research Subjects - statistics & numerical data
Researchers
Retention
Sampling Studies
Studies
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