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Triglyceride–glucose index (TyG index) is a predictor of incident colorectal cancer: a population-based longitudinal study
Background Colorectal cancer (CRC), which is related with insulin resistance, is a one of the most common cancers. Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We conducted the investigation of association between TyG index and incident CRC. Methods We examined...
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Published in: | BMC endocrine disorders 2020-07, Vol.20 (1), p.1-113, Article 113 |
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description | Background Colorectal cancer (CRC), which is related with insulin resistance, is a one of the most common cancers. Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We conducted the investigation of association between TyG index and incident CRC. Methods We examined the affect of TyG index on incident CRC in this historical cohort study of 27,944 (16,454 men and 11,490 women) participants. TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The impact of TyG index on incident CRC was investigated using Cox proportional hazard models, adjusting for sex, age, body mass index, smoking status, alcohol consumption, exercise, systolic blood pressure and creatinine. The covariate-adjusted receiver operating characteristic (ROC) curve calculated the area under the curve (AUC) and cut-off value of TyG index for the incidence of CRC. Results During the median 4.4-year follow-up, 116 participants were diagnosed as CRC. The cumulative incidence rate of CRC were 0.4%. In Cox proportional hazard model, the HRs of TyG index were 1.38 (95% Confidence interval (CI), 1.00–1.91, p = 0.049) after adjusting for covariates. In the covariate-adjusted ROC curve analysis, the cut-off value of TyG index for incident CRC was 8.272 (AUC 0.687 (95%CI, 0.637–737, sensitivity = 0.620, specificity = 0.668, p |
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Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We conducted the investigation of association between TyG index and incident CRC. Methods We examined the affect of TyG index on incident CRC in this historical cohort study of 27,944 (16,454 men and 11,490 women) participants. TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The impact of TyG index on incident CRC was investigated using Cox proportional hazard models, adjusting for sex, age, body mass index, smoking status, alcohol consumption, exercise, systolic blood pressure and creatinine. The covariate-adjusted receiver operating characteristic (ROC) curve calculated the area under the curve (AUC) and cut-off value of TyG index for the incidence of CRC. Results During the median 4.4-year follow-up, 116 participants were diagnosed as CRC. The cumulative incidence rate of CRC were 0.4%. In Cox proportional hazard model, the HRs of TyG index were 1.38 (95% Confidence interval (CI), 1.00–1.91, p = 0.049) after adjusting for covariates. In the covariate-adjusted ROC curve analysis, the cut-off value of TyG index for incident CRC was 8.272 (AUC 0.687 (95%CI, 0.637–737, sensitivity = 0.620, specificity = 0.668, p < 0.001)). Conclusions TyG index can predict the onset of CRC. For early detection of CRC, we should encourage people with high TyG index to undergo screening for CRC.</description><identifier>ISSN: 1472-6823</identifier><identifier>EISSN: 1472-6823</identifier><identifier>DOI: 10.1186/s12902-020-00581-w</identifier><identifier>PMID: 32709256</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Alcohol ; Blood pressure ; Blood tests ; Body mass index ; Cancer ; Cardiovascular disease ; Cell adhesion & migration ; Cholesterol ; Cohort analysis ; Cohort study ; Colorectal cancer ; Colorectal carcinoma ; Creatinine ; Dextrose ; Diabetes ; Diagnosis ; Epidemiology ; Fasting ; Gene expression ; Glucose ; Hospitals ; Insulin ; Insulin resistance ; Insulin-like growth factors ; Laboratory testing ; Longitudinal studies ; Metabolism ; Oncology, Experimental ; Pathogenesis ; Plasma ; Population studies ; Population-based studies ; Questionnaires ; Risk factors ; Studies ; Triglycerides ; TyG index ; Type 2 diabetes ; Variance analysis</subject><ispartof>BMC endocrine disorders, 2020-07, Vol.20 (1), p.1-113, Article 113</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-a09dd723bdb56f1027b56a274c4b8a9653bebfeba8453321c69f63dfde42c2f83</citedby><cites>FETCH-LOGICAL-c540t-a09dd723bdb56f1027b56a274c4b8a9653bebfeba8453321c69f63dfde42c2f83</cites><orcidid>0000-0002-8651-4445</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379831/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2435232653?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Okamura, Takuro</creatorcontrib><creatorcontrib>Hashimoto, Yoshitaka</creatorcontrib><creatorcontrib>Hamaguchi, Masahide</creatorcontrib><creatorcontrib>Obora, Akihiro</creatorcontrib><creatorcontrib>Kojima, Takao</creatorcontrib><creatorcontrib>Fukui, Michiaki</creatorcontrib><title>Triglyceride–glucose index (TyG index) is a predictor of incident colorectal cancer: a population-based longitudinal study</title><title>BMC endocrine disorders</title><description>Background Colorectal cancer (CRC), which is related with insulin resistance, is a one of the most common cancers. Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We conducted the investigation of association between TyG index and incident CRC. Methods We examined the affect of TyG index on incident CRC in this historical cohort study of 27,944 (16,454 men and 11,490 women) participants. TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The impact of TyG index on incident CRC was investigated using Cox proportional hazard models, adjusting for sex, age, body mass index, smoking status, alcohol consumption, exercise, systolic blood pressure and creatinine. The covariate-adjusted receiver operating characteristic (ROC) curve calculated the area under the curve (AUC) and cut-off value of TyG index for the incidence of CRC. Results During the median 4.4-year follow-up, 116 participants were diagnosed as CRC. The cumulative incidence rate of CRC were 0.4%. In Cox proportional hazard model, the HRs of TyG index were 1.38 (95% Confidence interval (CI), 1.00–1.91, p = 0.049) after adjusting for covariates. In the covariate-adjusted ROC curve analysis, the cut-off value of TyG index for incident CRC was 8.272 (AUC 0.687 (95%CI, 0.637–737, sensitivity = 0.620, specificity = 0.668, p < 0.001)). Conclusions TyG index can predict the onset of CRC. For early detection of CRC, we should encourage people with high TyG index to undergo screening for CRC.</description><subject>Alcohol</subject><subject>Blood pressure</subject><subject>Blood tests</subject><subject>Body mass index</subject><subject>Cancer</subject><subject>Cardiovascular disease</subject><subject>Cell adhesion & migration</subject><subject>Cholesterol</subject><subject>Cohort analysis</subject><subject>Cohort study</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Creatinine</subject><subject>Dextrose</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Epidemiology</subject><subject>Fasting</subject><subject>Gene expression</subject><subject>Glucose</subject><subject>Hospitals</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Insulin-like growth factors</subject><subject>Laboratory testing</subject><subject>Longitudinal studies</subject><subject>Metabolism</subject><subject>Oncology, Experimental</subject><subject>Pathogenesis</subject><subject>Plasma</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Triglycerides</subject><subject>TyG index</subject><subject>Type 2 diabetes</subject><subject>Variance analysis</subject><issn>1472-6823</issn><issn>1472-6823</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks9u1DAQxiMEoqXwApwicSmHFHucOA4HpKoqpVIlLsvZcvwneOWNFzuhrMSh78Ab8iTMNhWwCPng0cw3P-uzvqJ4SckZpYK_yRQ6AhUBUhHSCFrdPiqOad1CxQWwx3_VR8WznNeE0FYAeVocMWhJBw0_Lr6vkh_CTtvkjf1592MIs47Zln409lt5utpdLeXr0udSldtkjddTTGV0ONC4NE6ljiEmqycVSq1GZL3dS-N2Dmrycax6la0pQxwHP83Gj6jLWOyeF0-cCtm-eLhPik_vL1cXH6qbj1fXF-c3lW5qMlWKdMa0wHrTN9xRAi3eCtpa171QHW9Yb3tneyXqhjGgmneOM-OMrUGDE-ykuF64Jqq13Ca_UWkno_LyvhHTIFWavA5WUmgYGEuE4n1NLFWaM2FAU9cjVtfIerewtnO_sUaj_6TCAfRwMvrPcohfZcvaTjCKgNMHQIpfZpsnufFZ2xDUaOOcJdTQQica3qH01T_SdZwTft9exRpggN7_qAaFBvzoIr6r91B5zhnFiGAMUHX2HxUeYzdex9E6j_2DBVgWdIo5J-t-e6RE7vMnl_xJzJ-8z5-8Zb8AOv3OVA</recordid><startdate>20200724</startdate><enddate>20200724</enddate><creator>Okamura, Takuro</creator><creator>Hashimoto, Yoshitaka</creator><creator>Hamaguchi, Masahide</creator><creator>Obora, Akihiro</creator><creator>Kojima, Takao</creator><creator>Fukui, Michiaki</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8651-4445</orcidid></search><sort><creationdate>20200724</creationdate><title>Triglyceride–glucose index (TyG index) is a predictor of incident colorectal cancer: a population-based longitudinal study</title><author>Okamura, Takuro ; Hashimoto, Yoshitaka ; Hamaguchi, Masahide ; Obora, Akihiro ; Kojima, Takao ; Fukui, Michiaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-a09dd723bdb56f1027b56a274c4b8a9653bebfeba8453321c69f63dfde42c2f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alcohol</topic><topic>Blood pressure</topic><topic>Blood tests</topic><topic>Body mass index</topic><topic>Cancer</topic><topic>Cardiovascular disease</topic><topic>Cell adhesion & migration</topic><topic>Cholesterol</topic><topic>Cohort analysis</topic><topic>Cohort study</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Creatinine</topic><topic>Dextrose</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Epidemiology</topic><topic>Fasting</topic><topic>Gene expression</topic><topic>Glucose</topic><topic>Hospitals</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Insulin-like growth factors</topic><topic>Laboratory testing</topic><topic>Longitudinal studies</topic><topic>Metabolism</topic><topic>Oncology, Experimental</topic><topic>Pathogenesis</topic><topic>Plasma</topic><topic>Population studies</topic><topic>Population-based studies</topic><topic>Questionnaires</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Triglycerides</topic><topic>TyG index</topic><topic>Type 2 diabetes</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Okamura, Takuro</creatorcontrib><creatorcontrib>Hashimoto, Yoshitaka</creatorcontrib><creatorcontrib>Hamaguchi, Masahide</creatorcontrib><creatorcontrib>Obora, Akihiro</creatorcontrib><creatorcontrib>Kojima, Takao</creatorcontrib><creatorcontrib>Fukui, Michiaki</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC endocrine disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Okamura, Takuro</au><au>Hashimoto, Yoshitaka</au><au>Hamaguchi, Masahide</au><au>Obora, Akihiro</au><au>Kojima, Takao</au><au>Fukui, Michiaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Triglyceride–glucose index (TyG index) is a predictor of incident colorectal cancer: a population-based longitudinal study</atitle><jtitle>BMC endocrine disorders</jtitle><date>2020-07-24</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>1</spage><epage>113</epage><pages>1-113</pages><artnum>113</artnum><issn>1472-6823</issn><eissn>1472-6823</eissn><abstract>Background Colorectal cancer (CRC), which is related with insulin resistance, is a one of the most common cancers. Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We conducted the investigation of association between TyG index and incident CRC. Methods We examined the affect of TyG index on incident CRC in this historical cohort study of 27,944 (16,454 men and 11,490 women) participants. TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The impact of TyG index on incident CRC was investigated using Cox proportional hazard models, adjusting for sex, age, body mass index, smoking status, alcohol consumption, exercise, systolic blood pressure and creatinine. The covariate-adjusted receiver operating characteristic (ROC) curve calculated the area under the curve (AUC) and cut-off value of TyG index for the incidence of CRC. Results During the median 4.4-year follow-up, 116 participants were diagnosed as CRC. The cumulative incidence rate of CRC were 0.4%. In Cox proportional hazard model, the HRs of TyG index were 1.38 (95% Confidence interval (CI), 1.00–1.91, p = 0.049) after adjusting for covariates. In the covariate-adjusted ROC curve analysis, the cut-off value of TyG index for incident CRC was 8.272 (AUC 0.687 (95%CI, 0.637–737, sensitivity = 0.620, specificity = 0.668, p < 0.001)). Conclusions TyG index can predict the onset of CRC. For early detection of CRC, we should encourage people with high TyG index to undergo screening for CRC.</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>32709256</pmid><doi>10.1186/s12902-020-00581-w</doi><orcidid>https://orcid.org/0000-0002-8651-4445</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol Blood pressure Blood tests Body mass index Cancer Cardiovascular disease Cell adhesion & migration Cholesterol Cohort analysis Cohort study Colorectal cancer Colorectal carcinoma Creatinine Dextrose Diabetes Diagnosis Epidemiology Fasting Gene expression Glucose Hospitals Insulin Insulin resistance Insulin-like growth factors Laboratory testing Longitudinal studies Metabolism Oncology, Experimental Pathogenesis Plasma Population studies Population-based studies Questionnaires Risk factors Studies Triglycerides TyG index Type 2 diabetes Variance analysis |
title | Triglyceride–glucose index (TyG index) is a predictor of incident colorectal cancer: a population-based longitudinal study |
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