The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Association of Hemoglobin Levels With Clinical Outcomes in Acute Coronary Syndromes
Open accessAbstract
Background— In the setting of an acute coronary syndrome (ACS), anemia has the potential to worsen myocardial ischemia; however, data relating anemia to clinical outcomes in ACS remain limited. Methods and Results— We examined the association between baseline hemoglobin values and major adverse cardiovascular events through 30 days in 39 922 patients enrolled in clinical trials of ACS. After adjustment for differences in baseline characteristics and index hospitalization treatments, a reverse J-shaped relationship between baseline hemoglobin values and major adverse cardiovascular events was observed. In patients with ST-elevation myocardial infarction, when those with hemoglobin values between 14 and 15 g/dL were used as the reference, cardiovascular mortality increased as hemoglobin levels fell below 14 g/dL, with an adjusted OR of 1.21 (95% CI 1.12 to 1.30, P <0.001) for each 1-g/dL decrement in hemoglobin. At the other end of the range of hemoglobin, patients with hemoglobin values >17 g/dL also had excess mortality (OR 1.79, 95% CI 1.18 to 2.71, P =0.007). In patients with non–ST-elevation ACS, with those with hemoglobin 15 to 16 g/dL used as the reference, the likelihood of cardiovascular death, myocardial infarction, or recurrent ischemia increased as the hemoglobin fell below 11 g/dL, with an adjusted OR of 1.45 (95% CI 1.33 to 1.58, P <0.001) for each 1 g/dL decrement in hemoglobin. Patients with hemoglobin values >16 g/dL also had an increased rate of death or ischemic events (OR 1.31, 95% CI 1.03 to 1.66, P =0.027). Conclusions— Anemia is a powerful and independent predictor of major adverse cardiovascular events in patients across the spectrum of ACS.
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
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
A Multicenter, Randomized, Controlled Clinical Trial of Transfusion Requirements in Critical Care
Hébert, P. C., Wells, G., Blajchman, M. A., Marshall, J., Martin, C., Pagliarello, G., Tweeddale, M., Schweitzer, I., & Yetisir, E. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400601 · Cited by 5,187
Ezekowitz, J. A., McAlister, F. A., & Armstrong, P. W. (2003) · Circulation · doi:10.1161/01.cir.0000052622.51963.fc · Cited by 866
Cited by
Roffi, M., Patrono, C., Collet, J.-P., Mueller, C., Valgimigli, M., Andreotti, F., Bax, J. J., Borger, M. A., Brotons, C., Chew, D. P., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehv320 · Cited by 8,261
2014 AHA/ACC Guideline for the Management of Patients With Non–ST-Elevation Acute Coronary Syndromes
Amsterdam, E. A., Wenger, N. K., Brindis, R. G., Casey, D. E., Ganiats, T. G., Holmes, D. R., Jaffe, A. S., Jneid, H., Kelly, R. F., Kontos, M. C., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.017 · Cited by 3,595
Self-citationTransfusion thresholds and other strategies for guiding allogeneic red blood cell transfusion
Carson, J. L., Stanworth, S. J., Roubinian, N., Fergusson, D. A., Triulzi, D., Doree, C., & Hebert, P. C. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002042.pub4 · Cited by 1,250
Amsterdam, E. A., Wenger, N. K., Brindis, R. G., Casey, D. E., Ganiats, T. G., Holmes, D. R., Jaffe, A. S., Jneid, H., Kelly, R. F., Kontos, M. C., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000134 · Cited by 1,059
Self-citationSalisbury, A. C. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.361 · Cited by 194
Cortese-Krott, M. M., Rodriguez-Mateos, A., Sansone, R., Kuhnle, G. G. C., Thasian-Sivarajah, S., Krenz, T., Horn, P., Krisp, C., Wolters, D., Heiß, C., et al. (2012) · Blood · doi:10.1182/blood-2012-07-442277 · Cited by 183
Honda, T., Pun, V. C., Manjourides, J., & Suh, H. (2017) · Environment International · doi:10.1016/j.envint.2017.01.017 · Cited by 114
Is anemia a new cardiovascular risk factor?
Kaiafa, G., Kanellos, I., Savopoulos, C., Kakaletsis, N., Giannakoulas, G., & Hatzitolios, A. I. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.03.159 · Cited by 92
Elbarbary, M., Honda, T., Morgan, G., Guo, Y., Guo, Y., Kowal, P., & Negin, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093209 · Cited by 55
Jolicœur, E. M., O'Neill, W. W., Hellkamp, A., Hamm, C. W., Holmes, D. R., Al-Khalidi, H. R., Patel, M. R., Van de Werf, F. J., Pieper, K., Armstrong, P. W., et al. (2009) · European Heart Journal · doi:10.1093/eurheartj/ehp279 · Cited by 54
Rousseau, M., Yan, R. T., Tan, M., Lefkowitz, C. J., Casanova, A., Fitchett, D., Jolly, S. S., Langer, A., Goodman, S. G., & Yan, A. T. (2010) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2010.07.009 · Cited by 37
Ducrocq, G., Puymirat, E., Steg, P. G., Henry, P., Martelet, M., Karam, C., Schiele, F., Simon, T., & Danchin, N. (2015) · American Heart Journal · doi:10.1016/j.ahj.2015.07.004 · Cited by 32
Gao, K., Chen, X., Zhang, L., Yao, Y., Chen, W., Zhang, H., Han, Y., Xue, T., Wang, J., Lu, L., et al. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.151520 · Cited by 20
Metadata
- Authors
- Sabatine, M. S., Morrow, D. A., Giugliano, R. P., Burton, P. B. J., Murphy, S. A., McCabe, C. H., Gibson, C. M., & Braunwald, E.
- Venue
- Circulation
- Published
- 2005-04-26
- Volume
- 111
- Issue
- 16
- Pages
- 2042-2049
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2048471256
- Cited by
- 745
- References
- 4
- FWCI
- 17.18
- 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
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.