The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Systemic Complications of Acromegaly and the Impact of the Current Treatment Landscape: An Update
Abstract
Acromegaly is a chronic systemic disease with many complications and is associated with increased mortality when not adequately treated. Substantial advances in acromegaly treatment, as well as in the treatment of many of its complications, mainly diabetes mellitus, heart failure, and arterial hypertension, were achieved in the last decades. These developments allowed change in both prevalence and severity of some acromegaly complications and furthermore resulted in a reduction of mortality. Currently, mortality seems to be similar to the general population in adequately treated patients with acromegaly. In this review, we update the knowledge in complications of acromegaly and detail the effects of different acromegaly treatment options on these complications. Incidence of mortality, its correlation with GH (cumulative exposure vs last value), and IGF-I levels and the shift in the main cause of mortality in patients with acromegaly are also addressed.
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
Haugen, B. R., Alexander, E. K., Bible, K. C., Doherty, G. M., Mandel, S. J., Nikiforov, Y. E., Pacini, F., Randolph, G. W., Sawka, A. M., Schlumberger, M., et al. (2016) · Thyroid® · doi:10.1089/thy.2015.0020 · Cited by 16,535
Cooper, D. S., Doherty, G. M., Haugen, B. R., Kloos, R. T., Lee, S. L., Mandel, S. J., Mazzaferri, E. L., McIver, B., Pacini, F., Schlumberger, M., et al. (2009) · Thyroid · doi:10.1089/thy.2009.0110 · Cited by 6,707
Whelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Collins, K. J., Dennison Himmelfarb, C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.11.006 · Cited by 6,616
Epidemiology of Obstructive Sleep Apnea: A Population Health Perspective
Young, T., Peppard, P. E., & Gottlieb, D. J. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2109080 · Cited by 4,244
Inzucchi, S. E., Bergenstal, R. M., Buse, J. B., Diamant, M., Ferrannini, E., Nauck, M., Peters, A. L., Tsapas, A., Wender, R., & Matthews, D. R. (2012) · Diabetologia · doi:10.1007/s00125-012-2534-0 · Cited by 3,919
Bhasin, S., Cunningham, G. R., Hayes, F. J., Matsumoto, A. M., Snyder, P. J., Swerdloff, R. S., & Montori, V. M. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-2354 · Cited by 1,954
Premature mortality due to cardiovascular disease in hypopituitarism
Rosén, T., & Bengtsson, B.-Å. (1990) · The Lancet · doi:10.1016/0140-6736(90)91812-o · Cited by 1,402
Pre-Existing Fractures and Bone Mass Predict Vertebral Fracture Incidence in Women
Ross, P. D., Davis, J. W., Epstein, R. S., & Wasnich, R. D. (1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-11-919 · Cited by 1,107
Molitch, M. E., Clemmons, D. R., Malozowski, S., Merriam, G. R., & Vance, M. L. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-0179 · Cited by 1,047
Fihn, S. D., Blankenship, J. C., Alexander, K. P., Bittl, J. A., Byrne, J. G., Fletcher, B. J., Fonarow, G. C., Lange, R. A., Levine, G. N., Maddox, T. M., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000095 · Cited by 1,029
Cited by
Insulin-Like Growth Factor 1 (IGF-1) Signaling in Glucose Metabolism in Colorectal Cancer
Kasprzak, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22126434 · Cited by 248
Tchkonia, T., Palmer, A. K., & Kirkland, J. L. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa728 · Cited by 129
Metadata
- Authors
- Gadelha, M. R., Kasuki, L., Lim, D. S. T., & Fleseriu, M.
- Venue
- Endocrine Reviews
- Publisher
- The Endocrine Society
- Published
- 2018-08-31
- Volume
- 40
- Issue
- 1
- Pages
- 268-332
- ISSN
- 0163-769X (ISSN-L)
- 1945-7189
- OpenAlex
- W2889103264
- Cited by
- 363
- References
- 42
- FWCI
- 20.30
- Type
- journal article
- Language
- en
- Open access
- closed
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.
