Transformations of summary statistics as input in meta-analysis for linear dose-response models on a logarithmic scale: a methodology developed within EURRECA
Open accessAbstract
BACKGROUND: To derive micronutrient recommendations in a scientifically sound way, it is important to obtain and analyse all published information on the association between micronutrient intake and biochemical proxies for micronutrient status using a systematic approach. Therefore, it is important to incorporate information from randomized controlled trials as well as observational studies as both of these provide information on the association. However, original research papers present their data in various ways. METHODS: This paper presents a methodology to obtain an estimate of the dose-response curve, assuming a bivariate normal linear model on the logarithmic scale, incorporating a range of transformations of the original reported data. RESULTS: The simulation study, conducted to validate the methodology, shows that there is no bias in the transformations. Furthermore, it is shown that when the original studies report the mean and standard deviation or the geometric mean and confidence interval the results are less variable compared to when the median with IQR or range is reported in the original study. CONCLUSIONS: The presented methodology with transformations for various reported data provides a valid way to estimate the dose-response curve for micronutrient intake and status using both randomized controlled trials and observational studies.
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Most articles considered the combination of RCTs and non-randomised designs.
“Most articles considered the combination of RCTs and non-randomised designs [29, 35, 38, 39, 49, 51, 56, 61, 75, 81].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [81]
Other topics included meta-regression, while few articles focused on more specific statistical issues, such as dose-response analysis, credibility ceilings, bias adjustment, hierarchical models, or regression bias.
“Other topics included meta-regression, while few articles focused on more specific statistical issues, such as dose-response analysis [81, 109, 111, 113], credibility ceilings [110], bias adjustment [112], hierarchical models [117], or regression bias [108].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [81]
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Self-citationRe-expressing coefficients from regression models for inclusion in a meta-analysis
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Self-citationVitamin B12 Requirements in Older Adults
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- Authors
- Souverein, O. W., Dullemeijer, C., van `t Veer, P., & van der Voet, H.
- Affiliations
- Wageningen University & Research (NL)
- Corresponding author
- Souverein, Olga W
- ORCID
- Souverein, Olga W
- Venue
- BMC Medical Research Methodology
- Published
- 2012-04-25
- Volume
- 12
- Issue
- 1
- Pages
- 57-57
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC3780718
- OpenAlex
- W1975229915
- Cited by
- 26
- References
- 20
- Citations by year
- 2024: 1 · 2023: 1 · 2021: 1 · 2019: 3 · 2018: 3 · 2016: 1 · 2015: 2 · 2014: 4 · 2013: 3 · 2012: 7
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- dose-response curves, logarithmic scale, micronutrient intake, micronutrient status, biochemical markers
- MeSH terms
- Algorithms, Computer Simulation, Data Interpretation, Statistical, Diet, Dose-Response Relationship, Drug, Humans, Models, Biological, Meta-Analysis as Topic, Linear Models, Randomized Controlled Trials as Topic, Micronutrients
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