The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Global vitamin D levels in relation to age, gender, skin pigmentation and latitude: an ecologic meta-regression analysis
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Improved tests for a random effects meta‐regression with a single covariate
Knapp, G., & Hartung, J. (2003) · Statistics in Medicine · doi:10.1002/sim.1482 · Cited by 2,075
Commonly recommended daily intake of vitamin D is not sufficient if sunlight exposure is limited
Glerup, H., Mikkelsen, K., Poulsen, L., Hass, E., Overbeck, S., Thomsen, J., Charles, P., & Eriksen, E. F. (2000) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.2000.00595.x · Cited by 436
Cited by
Modulation of the immune system by UV radiation: More than just the effects of vitamin D?
Hart, P. H., Gorman, S., & Finlay-Jones, J. J. (2011) · Nature Reviews Immunology · doi:10.1038/nri3045 · Cited by 465
Bergman, P., Lindh, Å. U., Björkhem-Bergman, L., & Lindh, J. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065835 · Cited by 429
Global summary of maternal and newborn vitamin D status – a systematic review
Saraf, R., Morton, S. M. B., Camargo, C. A., & Grant, C. C. (2016) · Maternal & Child Nutrition · doi:10.1111/mcn.12210 · Cited by 365
Nargesi, S., Ghorbani, A., Shirzadpour, E., Mohamadpour, M., Mousavi, S. F., & Amraei, M. (2018) · Biomedical Research and Therapy · doi:10.15419/bmrat.v5i3.422 · Cited by 6
Metadata
- Authors
- Hagenau, T., Vest, R., Gissel, T. N., Poulsen, C. S., Erlandsen, M., Mosekilde, L., & Vestergaard, P.
- Venue
- Osteoporosis International
- Published
- 2008-05-06
- Volume
- 20
- Issue
- 1
- Pages
- 133-140
- ISSN
- 0937-941X (ISSN-L)
- 1433-2965
- OpenAlex
- W2117054697
- Cited by
- 440
- References
- 2
- FWCI
- 16.43
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global vitamin D levels in relation to age, gender, skin pigmentation and latitude: an ecologic meta-regression analysis. https://app.cochat.ai/papers/10.1007/s00198-008-0626-y
- The paper
- Hagenau, T., Vest, R., Gissel, T. N., Poulsen, C. S., Erlandsen, M., Mosekilde, L., & Vestergaard, P. (2009). Global vitamin D levels in relation to age, gender, skin pigmentation and latitude: an ecologic meta-regression analysis. Osteoporosis International. https://doi.org/10.1007/s00198-008-0626-y
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.