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Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review
BACKGROUND: Biochemical markers of bone turnover (BTMs), such as bone alkaline phosphatase (bALP), procollagen type I N propeptide (PINP), serum cross-linked C-telopeptides of type I collagen (bCTx), and urinary cross-linked N-telopeptides of type I collagen (NTx), are commonly used for therapy moni...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130375/ https://www.ncbi.nlm.nih.gov/pubmed/34006294 http://dx.doi.org/10.1186/s13018-021-02474-7 |
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author | Migliorini, Filippo Maffulli, Nicola Spiezia, Filippo Tingart, Markus Maria, Peretti Giuseppe Riccardo, Giorgino |
author_facet | Migliorini, Filippo Maffulli, Nicola Spiezia, Filippo Tingart, Markus Maria, Peretti Giuseppe Riccardo, Giorgino |
author_sort | Migliorini, Filippo |
collection | PubMed |
description | BACKGROUND: Biochemical markers of bone turnover (BTMs), such as bone alkaline phosphatase (bALP), procollagen type I N propeptide (PINP), serum cross-linked C-telopeptides of type I collagen (bCTx), and urinary cross-linked N-telopeptides of type I collagen (NTx), are commonly used for therapy monitoring purposes for osteoporotic patients. The present study evaluated the potential role of BTMs as therapy monitoring. METHODS: All randomized clinical trials (RCTs) comparing two or more pharmacological treatments for postmenopausal osteoporosis were accessed. Only studies that reported the value of bALP, PINP, bCTx, and NTx at last follow-up were included. A multivariate analysis was performed to assess associations between these biomarkers and clinical outcomes and rate of adverse events in patients with postmenopausal osteoporosis. A multiple linear model regression analysis through the Pearson product-moment correlation coefficient was used. RESULTS: A total of 16 RCTs (14,446 patients) were included. The median age was 67 years, and the median BMI 25.4 kg/m(2). The median vertebral BMD was 0.82, hip BMD 0.79, and femur BMD 0.64 g/cm(2). The ANOVA test found optimal within-group variance concerning mean age, body mass index, and BMD. Greater bALP was associated with lower femoral BMD (P = 0.01). Greater NTx was associated with a greater number of non-vertebral fractures (P = 0.02). Greater NTx was associated with greater rate of therapy discontinuation (P = 0.04). No other statistically significant associations were detected. CONCLUSION: Our analysis supports the adoption of BTMs in therapy monitoring of osteoporotic patients. LEVEL OF EVIDENCE: Level I, systematic review of RCTs. |
format | Online Article Text |
id | pubmed-8130375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81303752021-05-18 Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review Migliorini, Filippo Maffulli, Nicola Spiezia, Filippo Tingart, Markus Maria, Peretti Giuseppe Riccardo, Giorgino J Orthop Surg Res Systematic Review BACKGROUND: Biochemical markers of bone turnover (BTMs), such as bone alkaline phosphatase (bALP), procollagen type I N propeptide (PINP), serum cross-linked C-telopeptides of type I collagen (bCTx), and urinary cross-linked N-telopeptides of type I collagen (NTx), are commonly used for therapy monitoring purposes for osteoporotic patients. The present study evaluated the potential role of BTMs as therapy monitoring. METHODS: All randomized clinical trials (RCTs) comparing two or more pharmacological treatments for postmenopausal osteoporosis were accessed. Only studies that reported the value of bALP, PINP, bCTx, and NTx at last follow-up were included. A multivariate analysis was performed to assess associations between these biomarkers and clinical outcomes and rate of adverse events in patients with postmenopausal osteoporosis. A multiple linear model regression analysis through the Pearson product-moment correlation coefficient was used. RESULTS: A total of 16 RCTs (14,446 patients) were included. The median age was 67 years, and the median BMI 25.4 kg/m(2). The median vertebral BMD was 0.82, hip BMD 0.79, and femur BMD 0.64 g/cm(2). The ANOVA test found optimal within-group variance concerning mean age, body mass index, and BMD. Greater bALP was associated with lower femoral BMD (P = 0.01). Greater NTx was associated with a greater number of non-vertebral fractures (P = 0.02). Greater NTx was associated with greater rate of therapy discontinuation (P = 0.04). No other statistically significant associations were detected. CONCLUSION: Our analysis supports the adoption of BTMs in therapy monitoring of osteoporotic patients. LEVEL OF EVIDENCE: Level I, systematic review of RCTs. BioMed Central 2021-05-18 /pmc/articles/PMC8130375/ /pubmed/34006294 http://dx.doi.org/10.1186/s13018-021-02474-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Systematic Review Migliorini, Filippo Maffulli, Nicola Spiezia, Filippo Tingart, Markus Maria, Peretti Giuseppe Riccardo, Giorgino Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title | Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title_full | Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title_fullStr | Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title_full_unstemmed | Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title_short | Biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
title_sort | biomarkers as therapy monitoring for postmenopausal osteoporosis: a systematic review |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130375/ https://www.ncbi.nlm.nih.gov/pubmed/34006294 http://dx.doi.org/10.1186/s13018-021-02474-7 |
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