The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Consensus Statement on the Standardization and Evaluation of Growth Hormone and Insulin-like Growth Factor Assays
Abstract
Growth hormone (GH) and insulin-like growth factor I (IGF-I) measurements are widely used in the diagnosis of disorders of GH secretion, evaluation of children with short stature from multiple causes, management of disorders that lead to nutritional insufficiency or catabolism, and monitoring both GH and IGF-I replacement therapy. Therefore, there is an ongoing need for accurate and precise measurements of these 2 peptide hormones. Representatives of the Growth Hormone Research Society, the IGF Society, and the IFCC convened an international workshop to review assay standardization, requirements for improving assay comparability, variables that affect assay interpretation, technical factors affecting assay performance, assay validation criteria, and the development and use of normative data. Special attention was given to preanalytical conditions, the use of international commutable reference standards, antibody specificity, matrix requirements, QC analysis, and interference by binding proteins. Recommendations for each of these variables were made for measurements of each peptide. Additionally, specific criteria for IGF-I were recommended for age ranges of normative data, consideration of Tanner staging, and consideration of the effect of body mass index. The consensus statement concludes that major improvements are necessary in the areas of assay performance and comparability. This group recommends that a commutable standard for each assay be implemented for worldwide use and that its recommendations be applied to accomplish the task of providing reliable and clinically useful results.
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
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
Self-citationMechanisms of disease: metabolic effects of growth hormone and insulin-like growth factor 1
LeRoith, D., & Yakar, S. (2007) · Nature Clinical Practice Endocrinology & Metabolism · doi:10.1038/ncpendmet0427 · Cited by 344
Laboratory measurement of growth hormone
Popii, V., & Baumann, G. (2004) · Clinica Chimica Acta · doi:10.1016/j.cccn.2004.06.007 · Cited by 100
Cited by
Yuen, K. C. J., Biller, B. M. K., Radovick, S., Carmichael, J. D., Jasim, S., Pantalone, K. M., & Hoffman, A. R. (2019) · Endocrine Practice · doi:10.4158/gl-2019-0405 · Cited by 298
Klose, M., Stochholm, K., Janukonyté, J., Lehman Christensen, L., Frystyk, J., Andersen, M., Laurberg, P., Christiansen, J. S., & Feldt-Rasmussen, U. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2397 · Cited by 73
Yuen, K. C. J., Tritos, N. A., Samson, S. L., Hoffman, A. R., & Katznelson, L. (2016) · Endocrine Practice · doi:10.4158/ep161407.dscr · Cited by 73
IGF-I in major depression and antidepressant treatment response
Kopczak, A., Stalla, G. K., Uhr, M., Lucae, S., Hennings, J., Ising, M., Holsboer, F., & Kloiber, S. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.12.013 · Cited by 63
Idiopathic adult growth hormone deficiency
Melmed, S. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4012 · Cited by 58
Diagnosis of GH Deficiency as a Late Effect of Radiotherapy in Survivors of Childhood Cancers
Sfeir, J. G., Kittah, N. E. N., Tamhane, S. U., Jasim, S., Chemaitilly, W., Cohen, L. E., & Murad, M. H. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01204 · Cited by 35
Blankenstein, O., Snajderova, M., Blair, J., Pournara, E., Pedersen, B. T., & Petit, I. O. (2017) · European Journal of Endocrinology · doi:10.1530/eje-16-1055 · Cited by 19
Experience of a Pituitary Clinic for US Military Veterans With Traumatic Brain Injury
Lee, J., Anderson, L. J., Migula, D., Yuen, K. C. J., McPeak, L., & Garcia, J. M. (2021) · Journal of the Endocrine Society · doi:10.1210/jendso/bvab005 · Cited by 17
Metadata
- Authors
- Clemmons, D. R.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-04-01
- Volume
- 57
- Issue
- 4
- Pages
- 555-559
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2098717833
- Cited by
- 353
- References
- 3
- FWCI
- 21.42
- 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.