Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analy...
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Published in | Obesity reviews Vol. 22; no. 11; pp. e13312 - n/a |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.11.2021
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1467-7881 1467-789X 1467-789X |
DOI | 10.1111/obr.13312 |
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Abstract | Summary
Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications. |
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AbstractList | Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications. Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications. Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications. |
Author | Santen, Selveta S. Pluimakers, Vincent G. Fiocco, Marta Heuvel‐Eibrink, Marry M. Bakker, Marie‐Christine E. Lelij, Aart J. Neggers, Sebastian J. C. M. M. |
AuthorAffiliation | 5 Department of Medicine University Medical Center Utrecht Netherlands 4 Mathematical Institute Leiden University Leiden Netherlands 3 Medical Statistics, Department of Biomedical Data Science Leiden UMC Leiden Netherlands 1 Princess Máxima Center for Pediatric Oncology Utrecht Netherlands 2 Department of Medicine, Endocrinology Erasmus Medical Center Rotterdam Netherlands |
AuthorAffiliation_xml | – name: 2 Department of Medicine, Endocrinology Erasmus Medical Center Rotterdam Netherlands – name: 5 Department of Medicine University Medical Center Utrecht Netherlands – name: 4 Mathematical Institute Leiden University Leiden Netherlands – name: 3 Medical Statistics, Department of Biomedical Data Science Leiden UMC Leiden Netherlands – name: 1 Princess Máxima Center for Pediatric Oncology Utrecht Netherlands |
Author_xml | – sequence: 1 givenname: Vincent G. orcidid: 0000-0002-3066-3951 surname: Pluimakers fullname: Pluimakers, Vincent G. email: v.g.pluimakers@prinsesmaximacentrum.nl organization: Princess Máxima Center for Pediatric Oncology – sequence: 2 givenname: Selveta S. orcidid: 0000-0001-8818-6759 surname: Santen fullname: Santen, Selveta S. organization: Erasmus Medical Center – sequence: 3 givenname: Marta orcidid: 0000-0001-5588-0277 surname: Fiocco fullname: Fiocco, Marta organization: Leiden University – sequence: 4 givenname: Marie‐Christine E. surname: Bakker fullname: Bakker, Marie‐Christine E. organization: University Medical Center Utrecht – sequence: 5 givenname: Aart J. orcidid: 0000-0002-1059-0126 surname: Lelij fullname: Lelij, Aart J. organization: Erasmus Medical Center – sequence: 6 givenname: Marry M. orcidid: 0000-0002-7760-879X surname: Heuvel‐Eibrink fullname: Heuvel‐Eibrink, Marry M. organization: Princess Máxima Center for Pediatric Oncology – sequence: 7 givenname: Sebastian J. C. M. M. orcidid: 0000-0002-7698-0282 surname: Neggers fullname: Neggers, Sebastian J. C. M. M. organization: Erasmus Medical Center |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34258851$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1093_ejendo_lvad139 crossref_primary_10_3390_biomedicines10123098 crossref_primary_10_1186_s12916_023_02774_1 crossref_primary_10_1017_S1047951124000076 crossref_primary_10_1016_j_ejon_2023_102276 crossref_primary_10_1186_s13098_024_01262_7 crossref_primary_10_3390_diseases12120306 crossref_primary_10_3390_jpm12060880 crossref_primary_10_3389_fphys_2023_1114231 crossref_primary_10_1182_blood_2023019804 crossref_primary_10_3390_ijms23073712 |
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Keywords | the metabolic syndrome biomarker systematic review childhood cancer survivors |
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License | Attribution-NonCommercial-NoDerivs 2021 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
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Notes | Funding information Vincent G. Pluimakers, Selveta S. van Santen, Marry M. van den Heuvel‐Eibrink, and Sebastian J.C.M.M. Neggers contributed equally to the content of this manuscript Erasmus Medisch Centrum; Princess Máxima Center for Pediatric Oncology ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 ObjectType-Undefined-4 Funding information Erasmus Medisch Centrum; Princess Máxima Center for Pediatric Oncology |
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97 e_1_2_8_115_1 e_1_2_8_176_1 e_1_2_8_199_1 e_1_2_8_319_1 e_1_2_8_251_1 e_1_2_8_297_1 e_1_2_8_274_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_59_1 e_1_2_8_190_1 e_1_2_8_213_1 e_1_2_8_259_1 e_1_2_8_141_1 e_1_2_8_164_1 e_1_2_8_97_1 e_1_2_8_311_1 e_1_2_8_334_1 e_1_2_8_149_1 e_1_2_8_51_1 e_1_2_8_74_1 e_1_2_8_103_1 Safiri S (e_1_2_8_144_1) 2016; 10 e_1_2_8_187_1 e_1_2_8_240_1 e_1_2_8_263_1 e_1_2_8_286_1 e_1_2_8_46_1 e_1_2_8_69_1 e_1_2_8_180_1 e_1_2_8_202_1 e_1_2_8_225_1 e_1_2_8_248_1 e_1_2_8_154_1 e_1_2_8_4_1 Bermúdez V (e_1_2_8_201_1) 2014; 9 e_1_2_8_192_1 e_1_2_8_300_1 e_1_2_8_323_1 e_1_2_8_23_1 e_1_2_8_139_1 e_1_2_8_84_1 e_1_2_8_61_1 e_1_2_8_177_1 e_1_2_8_252_1 e_1_2_8_275_1 e_1_2_8_298_1 e_1_2_8_35_1 e_1_2_8_58_1 e_1_2_8_191_1 Lee JK (e_1_2_8_131_1) 2014; 47 e_1_2_8_165_1 e_1_2_8_96_1 e_1_2_8_142_1 e_1_2_8_127_1 e_1_2_8_335_1 e_1_2_8_12_1 e_1_2_8_312_1 e_1_2_8_73_1 e_1_2_8_50_1 e_1_2_8_104_1 e_1_2_8_188_1 |
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Snippet | Summary
Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria... Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria... |
SourceID | unpaywall pubmedcentral proquest pubmed crossref wiley |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | e13312 |
SubjectTerms | Adiponectin Adipose tissue adiposity Adult adults Apolipoprotein B biomarker Biomarkers Cancer Cancer Survivors Cardiovascular diseases Childhood childhood cancer survivors Children diabetes Diabetes mellitus Diagnostic systems Humans Hyperuricemia interleukin-1 interleukin-6 Leptin Literature reviews Medical diagnosis meta-analysis Metabolic disorders Metabolic syndrome Metabolic Syndrome - diagnosis Metabolic Syndrome - etiology Neoplasms - diagnosis obesity Pediatric Obesity/Obesity Comorbidity Population studies prediction Radiation therapy radiotherapy Risk Survival Systematic review the metabolic syndrome tumor necrosis factor-alpha Uric acid |
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Title | Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review |
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