The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effects of phlebotomy-induced reduction of body iron stores on metabolic syndrome: results from a randomized clinical trial
Open accessAbstract
Background: Metabolic syndrome (METS) is an increasingly prevalent but poorly understood clinical condition characterized by insulin resistance, glucose intolerance, dyslipidemia, hypertension, and obesity. Increased oxidative stress catalyzed by accumulation of iron in excess of physiologic requirements has been implicated in the pathogenesis of METS, but the relationships between cause and effect remain uncertain. We tested the hypothesis that phlebotomy-induced reduction of body iron stores would alter the clinical presentation of METS, using a randomized trial. Methods: In a randomized, controlled, single-blind clinical trial, 64 patients with METS were randomly assigned to iron reduction by phlebotomy (n = 33) or to a control group (n = 31), which was offered phlebotomy at the end of the study (waiting-list design). The iron-reduction patients had 300 ml of blood removed at entry and between 250 and 500 ml removed after 4 weeks, depending on ferritin levels at study entry. Primary outcomes were change in systolic blood pressure (SBP) and insulin sensitivity as measured by Homeostatic Model Assessment (HOMA) index after 6 weeks. Secondary outcomes included HbA1c, plasma glucose, blood lipids, and heart rate (HR). Results: SBP decreased from 148.5 ± 12.3 mmHg to 130.5 ± 11.8 mmHg in the phlebotomy group, and from 144.7 ± 14.4 mmHg to 143.8 ± 11.9 mmHg in the control group (difference -16.6 mmHg; 95% CI -20.7 to -12.5;P< 0.001). No significant effect on HOMA index was seen. With regard to secondary outcomes, blood glucose, HbA1c, low-density lipoprotein/high-density lipoprotein ratio, and HR were significantly decreased by phlebotomy. Changes in BP and HOMA index correlated with ferritin reduction. Conclusions: In patients with METS, phlebotomy, with consecutive reduction of body iron stores, lowered BP and resulted in improvements in markers of cardiovascular risk and glycemic control. Blood donation may have beneficial effects for blood donors with METS. Trial registration: ClinicalTrials.gov:NCT01328210 Please see related article:http://www.biomedcentral.com/1741-7015/10/53
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
Law, M. R., Morris, J. K., & Wald, N. J. (2009) · BMJ · doi:10.1136/bmj.b1665 · Cited by 2,775
Diabetes and serum ferritin concentration among U.S. adults.
Ford, E. S., & Cogswell, M. E. (1999) · Diabetes Care · doi:10.2337/diacare.22.12.1978 · Cited by 419
Facchini, F. S., Hua, N. W., & Stoohs, R. A. (2002) · Gastroenterology · doi:10.1053/gast.2002.32403 · Cited by 233
Wrede, C. E., Buettner, R., Bollheimer, L. C., Schölmerich, J., Palitzsch, K.-D., & Hellerbrand, C. (2006) · European Journal of Endocrinology · doi:10.1530/eje.1.02083 · Cited by 161
Cited by
Kell, D. B., & Pretorius, E. (2014) · Metallomics · doi:10.1039/c3mt00347g · Cited by 667
Simcox, J. A., & McClain, D. A. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.02.007 · Cited by 545
Mechanism of Ferroptosis and Its Role in Type 2 Diabetes Mellitus
Sha, W., Hu, F., Xi, Y., Chu, Y., & Bu, S. (2021) · Journal of Diabetes Research · doi:10.1155/2021/9999612 · Cited by 266
Iron and the pathophysiology of diabetes
Harrison, A. V., Lorenzo, F. R., & McClain, D. A. (2023) · Annual Review of Physiology · doi:10.1146/annurev-physiol-022522-102832 · Cited by 161
Viguiliouk, E., Stewart, S., Jayalath, V., Ng, A., Mirrahimi, A., De Souza, R., Hanley, A., Bazinet, R., Blanco Mejia, S., Leiter, L., et al. (2015) · Nutrients · doi:10.3390/nu7125509 · Cited by 130
Metadata
- Authors
- Houschyar, K. S., Lüdtke, R., Dobos, G. J., Kalus, U., Broecker-Preuss, M., Rampp, T., Brinkhaus, B., & Michalsen, A.
- Venue
- BMC Medicine
- Published
- 2012-05-30
- Volume
- 10
- Issue
- 1
- Pages
- 54-54
- ISSN
- 1741-7015 (ISSN-L)
- OpenAlex
- W2156368760
- Cited by
- 161
- References
- 4
- FWCI
- 10.18
- Type
- journal article
- Language
- en
- Open access
- gold
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: Effects of phlebotomy-induced reduction of body iron stores on metabolic syndrome: results from a randomized clinical trial. https://app.cochat.ai/papers/10.1186/1741-7015-10-54
- The paper
- Houschyar, K. S., Lüdtke, R., Dobos, G. J., Kalus, U., Broecker-Preuss, M., Rampp, T., Brinkhaus, B., & Michalsen, A. (2012). Effects of phlebotomy-induced reduction of body iron stores on metabolic syndrome: results from a randomized clinical trial. BMC Medicine. https://doi.org/10.1186/1741-7015-10-54
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.