Evidence map›Paper›PMID 28916566›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2017

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

Chen Yang, Mariona Pinart, Patrick Kolsteren, John Van Camp, Nathalie De Cock, Katharina Nimptsch, Tobias Pischon, Eamon Laird, Giuditta Perozzi, Raffaella Canali and 26 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Chen YangDepartments of Food Safety and Food Quality, Ghent University, Ghent, Belgium.
Mariona PinartMolecular Epidemiology Research Group, Max Delbrück Centre for Molecular Medicine, Berlin, Germany.
Patrick KolsterenDepartments of Food Safety and Food Quality, Ghent University, Ghent, Belgium.
John Van CampDepartments of Food Safety and Food Quality, Ghent University, Ghent, Belgium.
Nathalie De CockDepartments of Food Safety and Food Quality, Ghent University, Ghent, Belgium.
Katharina NimptschMolecular Epidemiology Research Group, Max Delbrück Centre for Molecular Medicine, Berlin, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Centre for Molecular Medicine, Berlin, Germany.
Eamon LairdVitamin Research Group, Trinity College Dublin, Dublin, Ireland.
Giuditta PerozziFood and Nutrition Research Centre, Rome, Italy.
Raffaella CanaliFood and Nutrition Research Centre, Rome, Italy.
Axelle HogeDepartment of Public Health, University of Liège, Liège, Belgium.
Marta Stelmach-MardasDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Lars Ove DragstedDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Stéphanie Maria PalombiDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Irina DobreDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Jildau BouwmanNetherlands Organisation for Applied Scientific Research, Zeist, Netherlands.
Peter ClarysVrije Universiteit Brussels, Brussels, Belgium.
Fabio MinerviniDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Bari, Italy.
Maria De AngelisDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Bari, Italy.
Marco GobbettiFaculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy.
Jean TafforeauDepartment of Public Health and Surveillance, Scientific Institute of Public Health, Brussels, Belgium.
Oscar ColtellDepartment of Computer Languages and Systems, University Jaume I, Castellón, Spain.
Dolores CorellaDepartment of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain.
Hendrik De RuyckFlanders research institute for agriculture, fisheries and food, Technology and Food Science Unit, Food Safety and Product Innovation, Melle, Belgium.
Janette WaltonSchool of Food and Nutritional Sciences, University College Cork, Cork, Ireland.
Laura KehoeSchool of Food and Nutritional Sciences, University College Cork, Cork, Ireland.
Christophe MatthysKU Leuven, Clinical and Experimental Endocrinology and University Hospitals Leuven/KU Leuven, Department of Endocrinology, Campus Gasthuisberg, Leuven, Belgium.
Bernard De BaetsMathematical Modelling, Statistics and Bioinformatic, Ghent University, Ghent, Belgium.
Guy De TréTelecommunications and Information Processing, Ghent University, Ghent, Belgium.
Antoon BronselaerTelecommunications and Information Processing, Ghent University, Ghent, Belgium.
Angela RivelleseDepartment of Clinical Medicine and Surgery, School of Medicine, University Federico II, Naples, Italy.
Rosalba GiaccoInstitute of Food Sciences of National Research Council, Avellino, Italy.
Rosario LombardoThe Microsoft Research, University of Trento Centre for Computational and Systems Biology, Trento, Italy.
Sofian De ClercqDepartment of Biochemistry, Ghent University, Faculty of Medicine and Health Sciences, Ghent, Belgium.
Niels HulstaertBiochemistry, Ghent University, Ghent, Belgium.
Carl LachatDepartments of Food Safety and Food Quality, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descriptors and controlled vocabulary was obtained. From 4884 papers retrieved, 26 relevant instruments, containing 164 characteristics for study design and 93 characteristics for measurements, were selected. The workshop and consensus process resulted in 10 descriptors allocated to "study design" and 22 to "measurement" domains. Data descriptors were organized as an ordinal scale of items to facilitate the identification, storage, and querying of nutrition data. Further integration of an Ontology for Nutrition Studies will facilitate interoperability of data repositories.

Indexed as

DietNutrition AssessmentObservational Studies as TopicAdiposityAnthropometryDatabases, FactualEpidemiologic StudiesHumansResearch Designdata interoperabilitydata qualitydietary assessmentnutritional epidemiologyobservational study

Identifiers

PMID28916566
PMCPMC5593109

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.