The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Antihypertensive drugs and risk of incident gout among patients with hypertension: population based case-control study
Open accessAbstract
OBJECTIVE: To determine the independent associations of antihypertensive drugs with the risk of incident gout among people with hypertension. DESIGN: Nested case-control study. SETTING: UK general practice database, 2000-7. PARTICIPANTS: All incident cases of gout (n = 24,768) among adults aged 20-79 and a random sample of 50,000 matched controls. MAIN OUTCOME MEASURE: Relative risk of incident gout associated with use of antihypertensive drugs. RESULTS: After adjusting for age, sex, body mass index, visits to the general practitioner, alcohol intake, and pertinent drugs and comorbidities, the multivariate relative risks of incident gout associated with current use of antihypertensive drugs among those with hypertension (n = 29,138) were 0.87 (95% confidence interval 0.82 to 0.93) for calcium channel blockers, 0.81 (0.70 to 0.94) for losartan, 2.36 (2.21 to 2.52) for diuretics, 1.48 (1.40 to 1.57) for β blockers, 1.24 (1.17 to 1.32) for angiotensin converting enzyme inhibitors, and 1.29 (1.16 to 1.43) for non-losartan angiotensin II receptor blockers. Similar results were obtained among those without hypertension. The multivariate relative risks for the duration of use of calcium channel blockers among those with hypertension were 1.02 for less than one year, 0.88 for 1-1.9 years, and 0.75 for two or more years and for use of losartan they were 0.98, 0.87, and 0.71, respectively (both P<0.05 for trend). CONCLUSIONS: Compatible with their urate lowering properties, calcium channel blockers and losartan are associated with a lower risk of incident gout among people with hypertension. By contrast, diuretics, β blockers, angiotensin converting enzyme inhibitors, and non-losartan angiotensin II receptor blockers are associated with an increased risk of gout.
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
Zhu, Y., Pandya, B. J., & Choi, H. K. (2011) · Arthritis & Rheumatism · doi:10.1002/art.30520 · Cited by 1,785
Self-citationMolecular identification of a renal urate–anion exchanger that regulates blood urate levels
Enomoto, A., Kimura, H., Chairoungdua, A., Shigeta, Y., Jutabha, P., Ho Cha, S., Hosoyamada, M., Takeda, M., Sekine, T., Igarashi, T., et al. (2002) · Nature · doi:10.1038/nature742 · Cited by 1,535
Choi, H. K., Mount, D. B., & Reginato, A. M. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-7-200510040-00009 · Cited by 942
Self-citationChoi, H. K., Atkinson, K., Karlson, E. W., & Curhan, G. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.7.742 · Cited by 625
Self-citationLewis, J. D., Schinnar, R., Bilker, W. B., Wang, X., & Strom, B. L. (2007) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1335 · Cited by 602
Greenburg, G. A. (1981) · PubMed · Cited by 545
The impact of serum uric acid on cardiovascular outcomes in the LIFE study
Høieggen, A., Alderman, M. H., Kjeldsen, S. E., Julius, S., Devereux, R. B., de Faire, U., Fyhrquist, F., Ibsen, H., Kristianson, K., Lederballe-Pedersen, O., et al. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.00484.x · Cited by 473
Feasibility study and methodology to create a quality-evaluated database of primary care data
Bourke, A., Dattani, H., & Robinson, M. (2004) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v12i3.124 · Cited by 285
Uric acid: role in cardiovascular disease and effects of losartan
Alderman, M., & Aiyer, K. J. V. (2004) · Current Medical Research and Opinion · doi:10.1185/030079904125002982 · Cited by 231
Hamada, T., Ichida, K., Hosoyamada, M., Mizuta, E., Yanagihara, K., Sonoyama, K., Sugihara, S., Igawa, O., Hosoya, T., Ohtahara, A., et al. (2008) · American Journal of Hypertension · doi:10.1038/ajh.2008.245 · Cited by 183
Cited by
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., et al. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003480 · Cited by 3,473
The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019)
Umemura, S., Arima, H., Arima, S., Asayama, K., Dohi, Y., Hirooka, Y., Horio, T., Hoshide, S., Ikeda, S., Ishimitsu, T., et al. (2019) · Hypertension Research · doi:10.1038/s41440-019-0284-9 · Cited by 1,880
2016 updated EULAR evidence-based recommendations for the management of gout
Richette, P., Doherty, M., Pascual, E., Barskova, V, Becce, F., Castañeda-Sanabria, J., Coyfish, M., Guillo, S., Jansen, T. L., Janssens, H., et al. (2017) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2016-209707 · Cited by 1,681
Rising burden of gout in the UK but continuing suboptimal management: a nationwide population study
Kuo, C.-F., Grainge, M. J., Mallen, C., Zhang, W., & Doherty, M. (2015) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2013-204463 · Cited by 622
Roddy, E., & Choi, H. K. (2014) · Rheumatic Disease Clinics of North America · doi:10.1016/j.rdc.2014.01.001 · Cited by 477
Self-citation
Metadata
- Authors
- Choi, H. K., Soriano, L. C., Zhang, Y., & Rodriguez, L. A. G.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2012-01-12
- Volume
- 344
- Issue
- jan12 1
- Pages
- d8190-d8190
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1965064102
- Cited by
- 278
- References
- 27
- FWCI
- 16.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Antihypertensive drugs and risk of incident gout among patients with hypertension: population based case-control study. https://app.cochat.ai/papers/10.1136/bmj.d8190
- The paper
- Choi, H. K., Soriano, L. C., Zhang, Y., & Rodriguez, L. A. G. (2012). Antihypertensive drugs and risk of incident gout among patients with hypertension: population based case-control study. BMJ. https://doi.org/10.1136/bmj.d8190
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.
