The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Low Serum Bilirubin Level as an Independent Predictor of Stroke Incidence: A Prospective Study in Korean Men and Women
Open accessAbstract
Background and Purpose— Bilirubin is not only a waste end-product but also an antioxidant. Bilirubin is known to be associated with decrease in cardiovascular risk in men, but its relationship to stroke was not clearly understood. Methods— Serum bilirubin concentrations were measured in 78 724 health examinees (41 054 men, aged 30–89 years) from 1994 to 2001. The subjects with potential hepatobiliary diseases or Gilbert syndrome were excluded from analysis. Stroke incidence outcome was collected from hospital records of admission attributable to stroke from 1994 to 2007. Results— Serum bilirubin measurements were divided into 4 levels: 0 to 10.2, 10.3 to 15.3, 15.4 to 22.1, and 22.2 to 34.2 μmol/L. The number of stroke cases was 1137 in men and 827 in women. In Cox proportional hazard models, participants with a higher level of bilirubin showed lower hazard ratios in men with ischemic stroke after adjustment for multiple confounding factors compared to the lowest level of bilirubin (hazard ratio [HR], 0.72; 95% CI, 0.58–0.90 in level 3; HR, 0.66; 95% CI, 0.49–0.89 in level 4; P for trend=0.016). The risk of all stroke types also decreased as bilirubin levels increased (HR, 0.81; 95% CI, 0.68–0.97 in level 3; HR, 0.74; 95% CI, 0.58–0.94 in level 4; P for trend=0.0071). However, these associations were not seen in hemorrhagic stroke or in women. Conclusions— These findings suggest that serum bilirubin might have some protective function against stroke risk in men.
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
IRON AND THE SEX DIFFERENCE IN HEART DISEASE RISK
Sullivan, J. (1981) · The Lancet · doi:10.1016/s0140-6736(81)92463-6 · Cited by 969
Body-mass index and mortality in Korean men and women
Jee, S. H., Sull, J. W., Park, J., Lee, S.-Y., Ohrr, H., Guallar, E., & Samet, J. M. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054017 · Cited by 860
Self-citationDietary haem iron and coronary heart disease in women
van der A, D. L., Peeters, P. H. M., Grobbee, D. E., Marx, J. J. M., & van der Schouw, Y. T. (2005) · European Heart Journal · doi:10.1093/eurheartj/ehi027 · Cited by 78
Cited by
Matsushita, K., Mahmoodi, B. K., Woodward, M., Emberson, J. R., Jafar, T. H., Jee, S. H., Polkinghorne, K. R., Shankar, A., Smith, D. H., Tonelli, M., et al. (2012) · JAMA · doi:10.1001/jama.2012.3954 · Cited by 988
Self-citationThe Role of Bilirubin in Diabetes, Metabolic Syndrome, and Cardiovascular Diseases
Vítek, L. (2012) · Frontiers in Pharmacology · doi:10.3389/fphar.2012.00055 · Cited by 311
Hepatic circadian clock oscillators and nuclear receptors integrate microbiome-derived signals
Montagner, A., Korecka, A., Polizzi, A., Lippi, Y., Blum, Y., Canlet, C., Tremblay-Franco, M., Gautier-Stein, A., Burcelin, R., Yen, Y.-C., et al. (2016) · Scientific Reports · doi:10.1038/srep20127 · Cited by 137
Metadata
- Authors
- Kimm, H., Yun, J. E., Jo, J., & Jee, S. H.
- Venue
- Stroke
- Published
- 2009-11
- Volume
- 40
- Issue
- 11
- Pages
- 3422-3427
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2029449918
- Cited by
- 179
- References
- 3
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Low Serum Bilirubin Level as an Independent Predictor of Stroke Incidence: A Prospective Study in Korean Men and Women. https://app.cochat.ai/papers/10.1161/strokeaha.109.560649
- The paper
- Kimm, H., Yun, J. E., Jo, J., & Jee, S. H. (2009). Low Serum Bilirubin Level as an Independent Predictor of Stroke Incidence: A Prospective Study in Korean Men and Women. Stroke. https://doi.org/10.1161/strokeaha.109.560649
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.