Relationship between hematocrit levels and intraocular pressure in men and women: A population-based cross-sectional study
Open accessAbstract
To assess a possible relationship between hematocrit level and intraocular pressure (IOP) in both men and women.Data were collected from medical records of individuals examined at a screening center in Israel between the years 2000 and 2013. Hematocrit levels were categorized as low, normal, and high and by sex; IOP values were categorized as < 18 mmHg and ≥18 mmHg.Cross-sectional analysis was performed on 18,424 subjects of mean (standard deviation) age 46 (10) years (68% male). Normal-range hematocrit for men was 42% to 52% and 37% to 47% for women. In men, mean [95% confidence interval CI)] IOP values by hematocrit level were as follows: below-normal hematocrit, 13.3 mmHg (13.2-13.3), normal hematocrit, 13.5 mmHg (13.4-13.5), above-normal hematocrit, 14.3 mmHg (13.5-15.2) (P < .001). Corresponding values in women were 12.9 mmHg (12.8-13.0), 13.0 mmHg (13.0-13.1), and 14.2 mmHg (12.9-15.6) (P = .014). The difference remained significant for men (P < .001) after adjustment for age, hypertension, diabetes, and body mass index. Men (but not women) with a low hematocrit were found to have a significantly lower odds ratio (95% CI) of having IOP ≥18 mmHg than men with normal hematocrit: nonadjusted model, 0.761 (0.631-0.919); adjusted model, 0.771 (0.638-0.932) (P < .01).It is possible that a raised hematocrit level may also contribute to an elevated IOP in men in addition to the classic risk factors.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Haematocrit values are higher in males (42%-52%) than females (37%-47%).
“HCT values are also higher in males (42%–52%) than females (37%–47%).22”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040
Tham, Y.-C., Li, X., Wong, T. Y., Quigley, H. A., Aung, T., & Cheng, C.-Y. (2014) · Ophthalmology · doi:10.1016/j.ophtha.2014.05.013 · Cited by 7,159 · see citing works
(2000) · American Journal of Ophthalmology · doi:10.1016/s0002-9394(00)00538-9 · Cited by 2,779 · see citing works
Kwon, Y. H., Fingert, J. H., Kuehn, M. H., & Alward, W. L. M. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804630 · Cited by 892 · see citing works
Racial Differences in the Cause-Specific Prevalence of Blindness in East Baltimore
Sommer, A., Tielsch, J. M., Katz, J., Quigley, H. A., Gottsch, J. D., Javitt, J. C., Martone, J. F., Royall, R. M., Witt, K. A., & Ezrine, S. (1991) · New England Journal of Medicine · doi:10.1056/nejm199111143252004 · Cited by 764 · see citing works
Glaucoma is second leading cause of blindness globally.
Kingman, S. (2004) · PubMed · Cited by 597 · see citing works
Intraocular pressure in an American community. The Beaver Dam Eye Study.
Klein, R., Klein, R., & Linton, K. L. P. (1992) · PubMed · Cited by 429 · see citing works
Diabetes, Fasting Glucose, and the Risk of Glaucoma
Zhao, D., Cho, J., Kim, M. H., Friedman, D. S., & Güallar, E. (2014) · Ophthalmology · doi:10.1016/j.ophtha.2014.07.051 · Cited by 331 · see citing works
Associations With Intraocular Pressure in the Barbados Eye Study
Wu, S.-Y. (1997) · Archives of Ophthalmology · doi:10.1001/archopht.1997.01100160742012 · Cited by 301 · see citing works
Incident Open-angle Glaucoma and Intraocular Pressure
Nemesure, B. B., Honkanen, R., Hennis, A. J. M., Wu, S., & Leske, M. C. (2007) · Ophthalmology · doi:10.1016/j.ophtha.2007.04.003 · Cited by 136 · see citing works
Incidence of Glaucomatous Visual Field Loss: A Ten-Year Follow-up from the Rotterdam Study
Czudowska, M. A., Ramdas, W. D., Wolfs, R. C. W., et al. (2010) · Ophthalmology · doi:10.1016/j.ophtha.2010.01.034 · Cited by 118 · see citing works
Estrogen deficiency accelerates aging of the optic nerve
Vajaranant, T. S., & Pasquale, L. R. (2012) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e3182443137 · Cited by 95 · see citing works
Intraocular pressure and progression of glaucomatous visual field loss
Martı́nez-Belló, C., Chauhan, B. C., Nicolela, M. T., et al. (2000) · American Journal of Ophthalmology · doi:10.1016/s0002-9394(99)00387-6 · Cited by 89 · see citing works
NAKANO, T., Tatemichi, M., Miura, Y., et al. (2005) · Ophthalmology · doi:10.1016/j.ophtha.2004.10.046 · Cited by 85 · see citing works
Risk factors for incident open‐angle glaucoma: a population‐based 20‐year follow‐up study
Ekström, C. (2010) · Acta Ophthalmologica · doi:10.1111/j.1755-3768.2010.01943.x · Cited by 80 · see citing works
Blood and plasma viscosity measurements in patients with glaucoma.
Klaver, J. H. J., Greve, E. L., Goslinga, H., et al. (1985) · British Journal of Ophthalmology · doi:10.1136/bjo.69.10.765 · Cited by 79 · see citing works
Cohen, E., Kramer, M., Shochat, T., Goldberg, E., Garty, M., & Krause, I. (2016) · Journal of Glaucoma · doi:10.1097/ijg.0000000000000374 · Cited by 51 · see citing works
Self-citationKim, Y. K., Choi, H. J., Jeoung, J. W., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114058 · Cited by 46 · see citing works
Vojniković, B. (2009) · Ophthalmic Research · doi:10.1159/000267080 · Cited by 45 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Harper, J., O'Donnell, E., Sorouri Khorashad, B., McDermott, H., & Witcomb, G. L. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-103106 · Cited by 167 · see citing works
- Authors
- Cohen, E., Kramer, M., Shochat, T., Goldberg, E., & Krause, I.
- Affiliations
- Tel Aviv University (IL)
- Rabin Medical Center (IL)
- Corresponding author
- Cohen, Eytan
- Venue
- Medicine
- Published
- 2017-10
- Volume
- 96
- Issue
- 41
- Pages
- e8290
- ISSN
- 0025-7974 (ISSN-L)
- PMC
- PMC5662324
- OpenAlex
- W2763420699
- Cited by
- 15
- References
- 18
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 4
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nd
- Locations
- Medicine (publishedVersion, cc-by-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Ophthalmology › Glaucoma and retinal disorders
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Corneal surgery and disorders
- Keywords
- hematocrit, intraocular pressure, sex differences, intraocular pressure elevation, ocular hypertension, blood viscosity, hypertension, diabetes mellitus, body mass index
- MeSH terms
- Adult, Cross-Sectional Studies, Diabetes Mellitus, Female, Hematocrit, Humans, Hypertension, Intraocular Pressure, Israel, Male, Middle Aged, Reference Values, Risk Factors, Sex Factors, Tonometry, Ocular, Body Mass Index, Risk Assessment
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
