The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Haematocrit, viscosity, erythrocyte sedimentation rate: meta-analyses of prospective studies of coronary heart disease
Abstract
J Danesh, R Collins, R Peto, G.D.O Lowe; Haematocrit, viscosity, erythrocyte sedimentation rate: meta-analyses of prospective studies of coronary heart disease,
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“testosterone is converted to estradiol (E2), which can regulate hepcidin transcription (35-37).”
From Testosterone induces erythrocytosis via increased erythropoietin and suppressed hepcidin: evidence for a new erythropoietin/hemoglobin set point (2014) · cites this paper as [37]
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MACMAHON, S. (1990) · The Lancet · doi:10.1016/0140-6736(90)90878-9 · Cited by 4,253 · cited 1×
“Hence, estimates of the ‘self-correlation coefficients’ between measurements of the factor in blood samples collected some years apart have been used to correct for this ‘regression dilution’([32,33]), suggesting associations of disease risk with long-term usual levels of each factor that are substantially stronger th…”
BackgroundPublication bias in clinical research
Easterbrook, P. J., Gopalan, R., Berlin, J. A., & Matthews, D. R. (1991) · The Lancet · doi:10.1016/0140-6736(91)90201-y · Cited by 3,109 · cited 2×
“It is also possible that the available evidence on haematocrit and coronary heart disease has been exaggerated somewhat by publication bias([35]).”
BackgroundDanesh, J., Collins, R., Appleby, P. N., & Peto, R. (1998) · JAMA · doi:10.1001/jama.279.18.1477 · Cited by 2,027
Self-citationClarke, R., Shipley, M. J., Lewington, S., Youngman, L. D., Collins, R., Marmot, M. G., & Peto, R. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010013 · Cited by 879
MEADE, T. (1993) · The Lancet · doi:10.1016/0140-6736(93)92062-x · Cited by 711
Blood viscosity and risk of cardiovascular events: the Edinburgh Artery Study
Lowe, G. D. O., Lee, A. J., Rumley, A., Price, J. F., & Fowkes, F. G. R. (1997) · British Journal of Haematology · doi:10.1046/j.1365-2141.1997.8532481.x · Cited by 550
Influence of platelet size on outcome after myocardial infarction
Martin, J. F., Bath, P. M., & Burr, M. L. (1991) · The Lancet · doi:10.1016/0140-6736(91)92719-i · Cited by 494
Hematocrit and the risk of cardiovascular disease—The Framingham Study: A 34-year follow-up
GAGNON, D. R., Zhang, T., Brand, F. N., & Kannel, W. B. (1994) · American Heart Journal · doi:10.1016/0002-8703(94)90679-3 · Cited by 375
Schlant, R. C., Forman, S. A., Stamler, J., & Canner, P. L. (1982) · Circulation · doi:10.1161/01.cir.66.2.401 · Cited by 176
Risk factors for myocardial infarction and death due to ischemic heart disease and other causes
Tibblin, G., Wilhelmsen, L., & Werkö, L. (1975) · The American Journal of Cardiology · doi:10.1016/0002-9149(75)90834-6 · Cited by 173
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Research works printed but not linked: 2
- Danesh J, Collins R, Appleby P, Peto R. Fibrinogen, C-reactive protein, albumin or white cell count: meta-analyses of prospective studies of coronary heart disease. JAMA 1998; 279: 1477-82.
- International Committee for Standardisation in Haematology (Expert Panel on Blood Rheology). 1986 Guidelines for measurement of blood viscosity and cell deformability. Clin Hemorrheology 1986; 6: 439-53.
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Ito, S., Vogel, M., Fessler, A. A., Kummerländer, A., Lischke, A., Gradl, D., le Noble, F. A. C., Krause, M. J., & Simonis, S. (2026) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2026.118927
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Metadata
- Authors
- Danesh, J.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Danesh, J
- ORCID
- Danesh, J
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-04-01
- Volume
- 21
- Issue
- 7
- Pages
- 515-520
- ISSN
- 0195-668X (ISSN-L)
- OpenAlex
- W2138576320
- Cited by
- 339
- References
- 34
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 7 · 2022: 11 · 2021: 18 · 2020: 15 · 2019: 17 · 2018: 17 · 2017: 8 · 2016: 9 · 2015: 12 · 2014: 11 · 2013: 16 · 2012: 14
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Heart Journal (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Topics
- Health Sciences › Medicine › Hematology › Blood properties and coagulation
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- hematocrit, blood viscosity, erythrocyte sedimentation rate, coronary artery disease, cardiovascular risk factors, prospective study
- MeSH terms
- Blood Sedimentation, Blood Viscosity, Coronary Disease, Hematocrit, Humans, Prospective Studies, Risk Factors
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