The prevalence of thyroid disorders in COVID-19 patients: a systematic review and meta-analysis

OBJECTIVES

To conduct a systematic review and meta-analysis to evaluate the prevalence of thyroid disorders in COVID-19 patients.

DATA SOURCES

Scopus, PubMed, ISI Web of Science, and Google Scholar databases were used in this review. We also consider the results of grey literature.

STUDY SELECTIONS

Cohort, cross-sectional, and case-control studies were included.

DATA EXTRACTION AND SYNTHESIS

The required data were extracted by the first author of the article and reviewed by the second author. The Pooled prevalence of outcomes of interest was applied using the meta-prop method with a pooled estimate after Freeman-Tukey Double Arcsine Transformation to stabilize the variances.

OUTCOMES AND MEASURED

The different thyroid disorders were the main outcomes of this study. The diseases include non-thyroidal illness syndrome, thyrotoxicosis, hypothyroidism, isolated elevated free T4, and isolated low free T4.

RESULTS

Eight articles were included in our meta-analysis(Total participants: 1654). The pooled prevalence of events hypothyroidism, isolated elevated FT4, isolated low FT4, NTIS, and thyrotoxicosis were estimated (Pooled P = 3%, 95% CI:2-5%, I2: 78%), (Pooled P = 2%, 95% CI: 0-4%, I2: 66%), (Pooled P = 1%, 95% CI: 0-1%, I2: 0%), (Pooled P = 26%, 95% CI: 10-42%, I2: 98%), and (Pooled P = 10%, 95% CI: 4-16%, I2: 89%), respectively.

CONCLUSION

Thyroid dysfunction is common in COVID-19 patients, with a high prevalence of non-thyroidal illness syndrome (NTIS) and thyrotoxicosis. Our meta-analysis found a 26% prevalence of NTIS and a 10% prevalence of thyrotoxicosis.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022312601.

Prevalence of preterm birth in Scandinavian countries: a systematic review and meta-analysis

OBJECTIVES

As welfare societies, Scandinavian countries share characteristics of equality related to healthcare access, gender, and social services. However, cultural and lifestyle variations create country-specific health differences. This meta-analysis assessed the prevalence of preterm birth (PTB) and its categories in Scandinavian countries.

METHODS

A systematic search in key databases of literature published between 1990 and 2021 identified studies of the prevalence of PTB and its categories. Following the use of the Freeman-Tukey double arcsine transformation, a meta-analysis of weighted data was performed using the random-effects model and meta-prop method.

RESULTS

We identified 109 observational studies that involved 86,420,188 live births. The overall pooled prevalence (PP) of PTB was 5.3% (PP = 5.3%, 95% confidence interval [CI] 5.1%, 5.5%). The highest prevalence was in Norway (PP = 6.2%, 95% CI 5.3%, 7.0%), followed by Sweden (PP = 5.3%, 95% CI 5.1%, 5.4%), Denmark (PP = 5.2%, 95% CI 4.9%, 5.3%), and Iceland (PP = 5.0%, 95% CI 4.4%, 5.7%). Finland had the lowest PTB rate (PP = 4.9%, 95% CI 4.7%, 5.1%).

CONCLUSIONS

The overall PP of PTB was 5.3%, with small variations among countries (4.9%-6.2%). The highest and lowest PPs of PTB were in Norway and Finland, respectively.

Data-driven phenomapping for novel classification for cardiovascular outcomes compared with traditional obesity index: Tehran Lipid and Glucose Study

OBJECTIVE

This study aimed to propose a data-driven framework for classification of at-risk people for cardiovascular outcomes regarding obesity and metabolic syndrome.

DESIGN

A population-based prospective cohort study with a long-term follow-up.

SETTING

Data from the Tehran Lipid and Glucose Study (TLGS) were interrogated.

PARTICIPANTS

12 808 participants of the TLGS cohort, aged ≥20 years who have followed for over 15 years were assessed.

MAIN OUTCOME MEASURES

Data for 12 808 participants, aged ≥20 years who have followed for over 15 years, collected through TLGS as a prospective, population-based cohort study, were analysed. Feature engineering followed by hierarchical clustering was used to determine meaningful clusters and novel endophenotypes. Cox regression was used to demonstrate the clinical validity of phenomapping. The performance of endophenotype compared with traditional classifications was evaluated by the value of Akaike information criterion/Bayesian information criterion. R software V.4.2 was employed.

RESULTS

The mean age was 42.1±14.9 years, 56.2% were female, 13.1%, 2.8% and 6.2% had experienced cardiovascular disease (CVD), CVD mortality and hard CVD, respectively. Low-risk cluster compared with the high risk had significant difference in age, body mass index, waist-to-hip ratio, 2 hours post load plasma glucose, triglyceride, triglycerides to high density lipoprotein ratio, education, marital status, smoking and the presence of metabolic syndrome. Eight distinct endophenotypes were detected with significantly different clinical characteristics and outcomes.

CONCLUSION

Phenomapping resulted in a novel classification of population with cardiovascular outcomes, which can, better, stratify individuals into homogeneous subclasses for prevention and intervention as an alternative of traditional methods solely based on either obesity or metabolic status. These findings have important clinical implications for a particular part of the Middle Eastern population for which it is a common practice to use tools/evidence derived from western populations with substantially different backgrounds and risk profiles.

A Systematic Review and Meta-Analysis of the Risk of Stillbirth, Perinatal and Neonatal Mortality in Immigrant Women

Objectives: This study aimed to investigate the risk of stillbirth, perinatal and neonatal mortality in immigrant women compared to native-origin women in host countries.

Methods: A systematic literature review and meta-analysis was conducted. Relevant studies were identified using a thorough literature search and their quality was appraised. The analysis of heterogeneous data was carried out using the random effects model and publication bias was assessed using the Harbord-test. Also, the pooled odds ratio of events was calculated through the DerSimonian and Laird, and inverse variance methods.

Results: In the search process 45 studies were retrieved consisting of 8,419,435 immigrant women and 40,113,869 native-origin women. The risk of stillbirth (Pooled OR = 1.35, 95% CI = 1.22–1.50), perinatal mortality (Pooled OR = 1.50, 95% CI = 1.35–1.68), and neonatal mortality (Pooled OR = 1.09, 95% CI = 1.00–1.19) in the immigrant women were significantly higher than the native-origin women in host countries. According to the sensitivity analyses, all results were highly consistent with the main data analysis results.

Conclusion: The immigrant women compared to the native-origin women had the higher risks of stillbirth, perinatal and neonatal mortality. Healthcare providers and policy makers should improve the provision of maternal and neonatal healthcare for the immigrant population.

Perinatal and Neonatal Outcomes in Immigrants From Conflict-Zone Countries: A Systematic Review and Meta-Analysis of Observational Studies

Objectives

There are controversies regarding the risk of adverse pregnancy outcomes among immigrants from conflict-zone countries. This systematic review and meta-analysis aimed to investigate the risk of perinatal and neonatal outcomes among immigrants from conflict-zone countries compared to native-origin women in host countries.

Methods

A systematic search on the databases of PubMed/MEDLINE, Scopus, and Web of Science was carried out to retrieve studies on perinatal and neonatal outcomes among immigrants from Somalia, Iraq, Afghanistan, Yemen, Syria, Nigeria, Sudan, Ethiopia, Eritrea, Kosovo, Ukraine, and Pakistan. Only peer-reviewed articles published in the English language were included in the data analysis and research synthesis. The odds ratio and forest plots were constructed for assessing the outcomes of interests using the DerSimonian and Laird, and the inverse variance methods. The random-effects model and the Harbord test were used to account for heterogeneity between studies and assess publication bias, respectively. Further sensitivity analysis helped with the verification of the reliability and stability of our review results.

Results

The search process led to the identification of 40 eligible studies involving 215,718 pregnant women, with an immigration background from the conflict zone, and 12,806,469 women of native origin. The adverse neonatal outcomes of the risk of small for gestational age (Pooled OR = 1.8, 95% CI = 1.6, 2.1), a 5-min Apgar score <7 (Pooled OR = 1.4, 95% CI = 1.0, 2.1), stillbirth (Pooled OR = 1.9, 95% CI = 1.2, 3.0), and perinatal mortality (Pooled OR = 2, 95% CI = 1.6, 2.5) were significantly higher in the immigrant women compared to the women of native-origin. The risk of maternal outcomes, including the cesarean section (C-S) and emergency C-S, instrumental delivery, preeclampsia, and gestational diabetes was similar in both groups.

Conclusion

Although the risk of some adverse maternal outcomes was comparable in the groups, the immigrant women from conflict-zone countries had a higher risk of neonatal mortality and morbidity, including SGA, a 5-min Apgar score <7, stillbirth, and perinatal mortality compared to the native-origin population. Our review results show the need for the optimization of health care and further investigation of long-term adverse pregnancy outcomes among immigrant women.

A Systematic Review and Meta-Analysis of Male Infertility and the Subsequent Risk of Cancer

Objectives

The primary objective of this systemic review and meta-analysis was to investigate the risk of developing composite outcome of all cancers, regardless of the type of cancer among men with infertility diagnosis compared to fertile counterparts. The secondary objective was to compare the pooled risk of developing individual specific cancers between two groups.

Methods

A systematic literature search was performed on the databases of PubMed (including Medline), Scopus, and Web of Science to retrieve observational studies published in English language from 01.01.1990 to 28. 02. 2021. They assessed cancer events in males with an infertility diagnosis compared to controls without infertility. The outcomes of interest were a composite outcome of cancers including all known cancer types, and also specific individual cancers. The fixed/random effects model was used to analyze heterogeneous and non-heterogeneous results. Publication bias was assessed using the Harbord test, Egger test, Begg test, and funnel plot. The pooled odds ratio of cancers was calculated using the DerSimonian and Laird, and inverse variance methods. Studies’ quality and risk of bias were assessed using structured standard tools.

Results

We included eight cohort studies involving 168,327 men with the diagnosis of infertility and 2,252,806 men without it. The total number of composite outcome of cancers as well as individual cancers including prostate, testicular and melanoma were 1551, 324, 183 and 121 in the infertile men and 12164, 3875, 849, and 450 in the fertile men, respectively. The pooled OR of the composite outcome of cancers, regardless of the type of cancer, in men with infertility was 1.4 folds higher than those without infertility (pooled OR = 1.43, 95% confidence interval [CI]: 1.25-1.64). Meta-analysis of individual cancers including prostate, testicular and melanoma between two groups was carried out. The pooled ORs of testicular and prostate cancers in men with the diagnosis of infertility were significantly higher than controls without infertility (pooled OR = 1.91, 95% CI: 1.52-2.42 and pooled OR = 1.48, 95% CI: 1.05-2.08, respectively). Additionally, the pooled OR of melanoma in men with infertility was 1.3 folds higher than those without infertility (pooled OR = 1.31, 95% CI: 1.06-1.62).

Conclusion

A greater risk of cancers in men with male infertility was found suggesting that the history of male infertility might be an important risk factor for developing cancers in later life. Further well-designed long-term population-based prospective studies, considering all known cancers and their accompanying risk factors should be conducted to support our findings.

Trends in Leading Cancer Incidence among Iranian Women: Annual Cancer Registry Reports, 2003-2015

Background:

Cancer is one of the most important causes of death in the world and has an increasing trend globally. We aimed at investigating the five leading cancers in Iranian women based on a 10-year history of cancer registry reports and illustrating the trends in all cancer sites and breast cancer as the top leading one from 2003 to 2015.

Methods:

Data were obtained from national cancer registry study. Age-Specific Incidence Rate (ASR) data were obtained from Iran’s annual national cancer registry reports between 2003 to 2010 and 2014 to 2015. Using Joinpoint regression, we analyzed incidence trends over time for all cancer sites and the top leading cancer from 2003 to 2015.

Results:

Breast cancer was ranked first in Iranian women. Its ASR raised from 15.96 in 2003 to 32.63 in 2015. Results of trend analysis based on Annual Percent Change (APC) index showed 5.6 (95%CI: 2.9 to 8.3) and 4.6 (95%CI: 2.0 to 7.2) annual increase in the incidence of all cancer sites and breast cancer from 2003 to 2015, respectively.

Conclusion:

This study indicates significant increasing trends in all cancer sites and breast cancer incidence in Iran. Despite the national coverage of cancer registry over the past decade, more considerations should be taken into account, especially in Breast cancer.

Mild Gestational Diabetes and Adverse Pregnancy Outcome: A Systemic Review and Meta-Analysis

Background and Objectives: Mild gestational diabetes (GDM) refers to the gestational hyperglycemia, which does not fulfill the diagnostic criteria for GDM. The results of studies on adverse pregnancy outcomes among women with mild GDM are controversial. Therefore, the aim of this systematic review and meta-analysis was to investigate the impact of mild GDM on the risk of adverse maternal and neonatal outcomes. Methods: A thorough literature search was performed to retrieve articles that investigated adverse maternal and neonatal outcomes in women with mild GDM in comparison with non-GDM counterparts. All populations were classified to three groups based on their diagnostic criteria for mild GDM. Heterogeneous and non-heterogeneous results were analyzed using the fixed/random effects models. Publication bias was assessed using the Harbord test. DerSimonian and Laird, and inverse variance methods were used to calculate the pooled relative risk of events. Subgroup analysis was performed based on mild GDM diagnostic criteria. Quality and risk of bias assessment were performed using standard questionnaires. Results: Seventeen studies involving 11,623 pregnant women with mild GDM and 53,057 non-GDM counterparts contributed to the meta-analysis. For adverse maternal outcomes, the results of meta-analysis showed that the women with mild GDM had a significantly higher risk of cesarean section (pooled RR: 1.3, 95% CI 1.2-1.5), pregnancy-induced hypertension (pooled RR: 1.4, 95% CI 1.1-1.7), preeclampsia (pooled RR: 1.3, 95% CI 1.1-1.5) and shoulder dystocia (pooled RR: 2.7, 95% CI 1.5-5.1) in comparison with the non-GDM population. For adverse neonatal outcomes, the pooled relative risk of macrosomia (pooled RR = 0.4, 95% CI: 1.1-1.7), large for gestational age (pooled RR = 1.7, 95% CI: 1.3-2.3), hypoglycemia (pooled RR = 1.6, 95% CI: 1.1-2.3), hyperbilirubinemia (pooled RR = 1.1, 95% CI: 1-1.3), 5 min Apgar <7 (pooled RR = 1.6, 95% CI: 1.1-2.4), admission to the neonatal intensive care unit (pooled RR = 1.5, 95% CI: 1.1-2.1), respiratory distress syndrome (pooled RR = 3.2, 95% CI: 1.8-5.5), and preterm birth (pooled RR = 1.4, 95% CI: 1.1-1.7) was significantly increased in the mild GDM women as compared with the non-GDM population. However, the adverse events of small for gestational age and neonatal death were not significantly different between the groups. Analysis of composite maternal and neonatal outcomes revealed that the risk of those adverse outcomes in the women with mild GDM in all classifications were significantly higher than the non-GDM population. Also, the meta-regression showed that the magnitude of those increased risks in both composite maternal and neonatal outcomes was similar. Conclusion: The risks of sever adverse neonatal outcomes including small for gestational age and neonatal mortality are not increased with mild GDM. However, the increased risks of most adverse maternal and neonatal outcomes are observed. The risks have similar magnitudes for all mild GDM diagnostic classifications.

Dealing With Sparse Data Bias in Medical Sciences: Comprehensive Review of Methods and Applications

This study aims to illustrate the problem of (Quasi) Complete Separation in the sparse data pattern occurring medical data. We presented the failure of traditional methods and then provided an overview of popular remedial approaches to reduce bias through vivid examples. Penalized maximum likelihood estimation and Bayesian methods are some remedial tools introduced to reduce bias. Data from the Tehran Thyroid and Pregnancy Study, a two-phase cohort study conducted from September 2013 through February 2016, was applied for illustration. The bias reduction of the estimate showed how sufficient these methods are compared to the traditional method. Extremely large measures of association such as the Risk ratios along with an extraordinarily wide range of confidence interval proved the traditional estimation methods futile in case of sparse data while it is still widely applying and reporting. In this review paper, we introduce some advanced methods such as data augmentation to provide unbiased estimations.

The Effect of Mild Gestational Diabetes Mellitus Treatment on Adverse Pregnancy Outcomes: A Systemic Review and Meta-Analysis

OBJECTIVES

It is uncertain whether the treatment of mild gestational diabetes mellitus (GDM) improves pregnancy outcomes. The aim of this systemic review and meta-analysis was to investigate the effect of mild GDM treatment on adverse pregnancy outcomes.

METHODS

A comprehensive literature search was conducted on the databases of PubMed, Scopus, and Google Scholar to retrieve studies that compared interventions for the treatment of mild GDM with usual antenatal care. The fixed/random effects models were used for the analysis of heterogeneous and non-heterogeneous results. Publication bias was assessed using the Harbord test. Also, the DerSimonian and Laird, and inverse variance methods were used to calculate the pooled odds ratio of events. The quality assessment of the included studies was performed using the Modified Newcastle-Ottawa Quality Assessment scale and the CONSORT checklist. In addition, the risk of bias was evaluated using the Cochrane Collaboration's tool for assessing risk of bias.

RESULTS

The systematic review and meta-analysis involved ten studies consisting of 3317 pregnant women who received treatment for mild GDM and 4407 untreated counterparts. Accordingly, the treatment of mild GDM significantly reduced the risk of macrosomia (OR = 0.3; 95%CI = 0.3-0.4), large for gestational age (OR = 0.4; 95%CI = 0.3-0.5), shoulder dystocia (OR = 0.3; 95%CI = 0.2-0.6), caesarean-section (OR = 0.8; 95%CI = 0.7-0.9), preeclampsia (OR = 0.4; 95%CI = 0.3-0.6), elevated cord C-peptide (OR = 0.7; 95%CI = 0.6-0.9), and respiratory distress syndrome (OR = 0.7; 95%CI = 0.5-0.9) compared to untreated counterparts. Moreover, the risk of induced labor significantly increased in the treated group compared to the untreated group (OR = 1.3; 95%CI = 1.0-1.6). However, no statistically significant difference was observed between the groups in terms of small for gestational age, hypoglycemia, hyperbilirubinemia, birth trauma, admission to the neonatal intensive care unit, and preterm birth. Sensitivity analysis based on the exclusion of secondary analysis data was all highly consistent with the main data analysis.

CONCLUSION

Treatment of mild GDM reduced the risk of selected important maternal outcomes including preeclampsia, macrosomia, large for gestational age, cesarean section, and shoulder dystocia without increasing the risk of small for gestational age. Nevertheless, the treatment could not reduce the risk of neonatal metabolic abnormalities or several complications in newborn.

A spatio-temporal analysis of influenza-like illness in Iran from 2011 to 2016

Background: Investigating the spatial aspects of the disease can help decision-makers and researchers better understand the pattern of the disease, and is also very important in the implementation of the disease control programs. Given the vast area of Iran, as well as the diverse geographical and climate conditions of the country, using the geographical information system (GIS) is a suitable method for the study of influenza. In this study, we provide a clear picture of the distribution of the influenza-like illness (ILI) in Iranian provinces through the years from 2011 to 2016 by applying a spatio-temporal analysis, using geographic information system (GIS). Disease rates by location and year are estimated, and then hot spots and cold spots are distinguished. Methods: This study was conducted using the ILI incidence rate data recorded in the Iranian Influenza Surveillance System from August 2011 to August 2016. The Choropleth map method and the various equal interval and natural break classifications were used. The local Getis-Ord Gi* method was then used to identify the hot spots and regions where, for some reason, the distribution of the disease had significantly clustered spatially. Statistical analyses were done using the ArcGIS 10.2 software. Results: This study indicates that the highest ILI rate belongs to the period from August 2014 to August 2015 with a rate of 180.26 (95%CI: 177.65 to 182.9) per 100,000 people. The results show that the highest 5-year mean of ILI rate belongs to Zanjan, Markazi, Lorestan, Ilam, North Khorasan, and South Khorasan provinces. Also, results from the local Getis-Ord Gi* method show that ILI has formed a hot spot between the years 2011 and 2013 on the eastern borders of Iran and afterward during the years 2014 to 2016 in the western regions of the country. Conclusion: Given the importance of influenza and its huge economic burden on the society, identifying the hot spot regions can help better manage the disease. This study indicates the distribution of the disease has formed a hot spot in the western regions of the country.

A methodological quality assessment of systematic reviews and meta-analyses of antidepressants effect on low back pain using updated AMSTAR

BACKGROUND

Antidepressants are prescribed widely to manage low back pain. There are a number of systematic reviews and meta-analyses which have investigated the efficacy of the treatments, while the methodological quality of them has not been assessed yet. This study aims to evaluate the methodological quality of the systematic reviews and meta-analyses investigating the effect of antidepressants on low back pain.

METHODS

A systematic search was conducted in PubMed, EMBASE, Medline, and Cochrane Library databases up to November 2018. The 16-item Assessment of Multiple Systematic Reviews (AMSTAR2) scale was used to assess the methodological quality of the studies. Systematic reviews and meta-analyses of the Antidepressants treatment effects on low back pain published in English language were included. There was no limitation on the type of Antidepressants drugs, clinical setting, and study population, while non-systematical reviews and qualitative and narrative reviews were excluded.

RESULTS

A total of 25 systematic reviews and meta-analyses were evaluated; the studies were reported between 1992 and 2017. Obtained results from AMSTAR2 showed that 11 (44%), 9 (36%) and 5 (20%) of the included studies had high, moderate and low qualities, respectively. 13(52%) of studies assessed risk of bias and 2(20%) of meta analyses considered publication bias. Also, 16 (64%) of the included reviews provided a satisfactory explanation for any heterogeneity observed in the results.

CONCLUSIONS

Although the trend of publishing high quality papers in ADs effect on LBP increased recently, performing more high-quality SRs and MAs in this field with precise subgroups of the type of pains, the class of drugs and their dosages may give clear and more reliable evidence to help clinicians and policymakers.

Survival rate of colon and rectum cancer in Iran: A systematic review and meta-analysis

Colorectal cancer is one of the deadliest cancers worldwide. Effective screening, surveillance and prevention can decrease its incidence, mortality and burden. This meta-analysis aims to provide a pooled estimation of 5-year survival rate for colorectal cancer based on topography codes and treatment in Iranian population. A systematic search for literature was done in international and national databases up to July 2018. Twenty-seven studies from 4929 articles met the eligible criteria. The overall pooled 5-year survival rates of colorectal cancer, colon, rectal and sigmoid were 56% (95% CI: 49, 63), 53% (95% CI: 41, 65), 52% (95% CI: 41, 62) and 38% (95% CI: 22, 55), respectively. In addition, 5-year survival rate of colorectal cancer after surgery was 64% (95%CI: 50, 78). Subgroup analysis by type of data source showed significantly higher rate of survival in oncology center (29%) than hospital-based (p=0.005). As a conclusion, low survival rate of colorectal cancer in Iran necessitates effective screening and surveillance strategies to find precancerous polyps and detect early-stage cases with lower stage risk of cancer.

Is Granulocyte colony-stimulating factor associated with development of aortitis?

The aim of this study was to mention some methodological issues in a study which investigate the effect of Granulocyte colony-stimulating factor on developing of aortitis.

Comment on unplanned out-of-hospital birth and risk factors of adverse perinatal outcome: findings from a prospective cohort

The aim of this Letter to the Editor was to report some methodological shortcomings in a recently published Article. We proved that the obtained results are subjected to the sparse data bias and presented some remedial tools such as penalization approaches. In addition, model fitting and performance aroused some controversies. In conclusion, the results of this study should be interpreted with caution and further reanalysis is necessary.

A Challenging Interaction of Chronic Kidney Disease With Other Metabolic Disorders: Paradoxes in Cardiometabolic Risk Factors

INTRODUCTION

Controversial findings are reported on the risk of cardiovascular disease in chronic kidney disease (CKD). There are some interactions between CKD and other metabolic disorders including metabolic syndrome (MS) and obesity regarding coronary heart disease (CHD) outcomes.

MATERIALS AND METHODS

A total of 2823 men and 3684 women aged 30 years and older, without cardiovascular disease, were followed for 10 years. Multivariable adjusted hazard ratio of CHD was estimated for those who developed CKD, MS or both by sex and body mass index levels below and above 27 kg/m2. The interaction term of CKD and MS and also CKD-MS components were assessed in the Cox proportional hazard models as well.

RESULTS

Chronic kidney disease without MS, showed a significant effect on CHD only in participants with low body mass index (hazard ratio, 2.06; 95% confidence interval, 1.28 to 3.31 in the men and hazard ratio, 2.56; 95% confidence interval, 1.04 to 6.31 in the women). The joint effect of CKD and MS decreased to one-third of their multiplicative effect in this subgroup, indicating a negative interaction between CKD, MS, and Obesity. The same interaction was observed between CKD and hypertension in both sexes and CKD and type 2 diabetes mellitus in the men.

CONCLUSIONS

Our results showed that CKD was an independent risk factor for CHD only in nonobese individuals; however, its risk was wiped out when joined to MS. Following the concept of "obesity paradox," the term of "risk factors paradox" also needs more attention.