Literature DB >> 8610042

Development of a scoring system to judge the scientific quality of information from case-control and cohort studies of nutrition and disease.

B M Margetts1, R L Thompson, T Key, S Duffy, M Nelson, S Bingham, M Wiseman.   

Abstract

A scoring system was developed to help judge the scientific quality of observational epidemiologic studies linking diet with risk of cancer. The scoring system was developed from key headings used in developing research protocols and included questions under headings: three for case-control studies (dietary assessment, recruitment of subjects, and analysis) and four for cohort studies (dietary assessment, definition of cohort, ascertainment, and analysis). Points were awarded for questions in each section, and a total score was derived. Interobserver variation was assessed for five case-controls and five cohort studies for 13 observers: 1 observer repeated the assessment of each paper. Absolute scores and ranking within observer were assessed. There was good agreement between observers in the ranking of studies. Papers that scored higher presented sufficient detail to enable the questions in the scoring system to be answered more easily. For some studies, the information required was either not collected or, if it was collected, not presented. In either case, the frequent lack of information available to judge papers raises questions about the editorial policy and review process of journals publishing dietary studies as much as it does about the scoring system. Applying the scoring system to a review of meat and cancer risk suggested that, taking the score into account, from what seemed like a large literature, there were relatively few studies that scored well (defined as a score > 65%), but these studies tended to provide more consistent information.

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Mesh:

Year:  1995        PMID: 8610042     DOI: 10.1080/01635589509514412

Source DB:  PubMed          Journal:  Nutr Cancer        ISSN: 0163-5581            Impact factor:   2.900


  6 in total

1.  Review of quality assessment tools for the evaluation of pharmacoepidemiological safety studies.

Authors:  George A Neyarapally; Tarek A Hammad; Simone P Pinheiro; Solomon Iyasu
Journal:  BMJ Open       Date:  2012-09-25       Impact factor: 2.692

2.  Study protocol: the empirical investigation of methods to correct for measurement error in biobanks with dietary assessment.

Authors:  Derrick A Bennett; Julian Little; Lindsey F Masson; Cosetta Minelli
Journal:  BMC Med Res Methodol       Date:  2011-10-05       Impact factor: 4.615

3.  A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology.

Authors:  Jong-Myon Bae
Journal:  Epidemiol Health       Date:  2016-04-26

Review 4.  Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research.

Authors:  Chen Yang; Mariona Pinart; Patrick Kolsteren; John Van Camp; Nathalie De Cock; Katharina Nimptsch; Tobias Pischon; Eamon Laird; Giuditta Perozzi; Raffaella Canali; Axelle Hoge; Marta Stelmach-Mardas; Lars Ove Dragsted; Stéphanie Maria Palombi; Irina Dobre; Jildau Bouwman; Peter Clarys; Fabio Minervini; Maria De Angelis; Marco Gobbetti; Jean Tafforeau; Oscar Coltell; Dolores Corella; Hendrik De Ruyck; Janette Walton; Laura Kehoe; Christophe Matthys; Bernard De Baets; Guy De Tré; Antoon Bronselaer; Angela Rivellese; Rosalba Giacco; Rosario Lombardo; Sofian De Clercq; Niels Hulstaert; Carl Lachat
Journal:  Adv Nutr       Date:  2017-09-15       Impact factor: 8.701

5.  The aetiological role of human papillomavirus in oesophageal squamous cell carcinoma: a meta-analysis.

Authors:  Surabhi S Liyanage; Bayzidur Rahman; Iman Ridda; Anthony T Newall; Sepehr N Tabrizi; Suzanne M Garland; Eva Segelov; Holly Seale; Philip J Crowe; Aye Moa; C Raina Macintyre
Journal:  PLoS One       Date:  2013-07-24       Impact factor: 3.240

6.  Evidence for the aetiology of human papillomavirus in oesophageal squamous cell carcinoma in the Chinese population: a meta-analysis.

Authors:  Surabhi S Liyanage; Bayzidur Rahman; Zhanhai Gao; Yang Zheng; Iman Ridda; Aye Moa; Anthony T Newall; Holly Seale; Qian Li; Jun-Feng Liu; C Raina Macintyre
Journal:  BMJ Open       Date:  2013-11-15       Impact factor: 2.692

  6 in total

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