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Very low levels of HDL-cholesterol and stroke: Protocol for systematic review and meta-analysis

Leonardo Roever

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

E-mail : aa

Elmiro Santos Resende

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

AngelicaLemosDebs Diniz

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Nilson Penha-Silva

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Joao Lucas O'Connell

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Fernanda Rodrigues de Souza

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Poliana Rodrigues Alves Duarte

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Paulo Fernando Silva Gomes

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Hugo Ribeiro Zanetti

HCFMUSP- University of Sao Paulo Medical School, Department of Cardiology, Sao Paulo, Brazil

Anaisa Silva Roerver-Borges

HCFMUSP- University of Sao Paulo Medical School, Department of Cardiology, Sao Paulo, Brazil

Fernando Cesar Veloso

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Thiago Montes Fidale

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Antonio Casella-Filho

Faculty of Medicine ABC, Department of Cardiology Santo Andre, Brazil

Paulo Magno Martins Dourado

Faculty of Medicine ABC, Department of Cardiology Santo Andre, Brazil

Antonio Carlos Palandri Chagas

Faculty of Medicine ABC, Department of Cardiology Santo Andre, Brazil

Cardiovascular Research Center, ShahidSadoughi University of Medical Sciences, Department of Cardiology, Yazd, Iran

Sadeq Ali-Hasan-Al-Saegh

Department of Specialized and General Surgery, Fluminense Federal University, Rio de Janeiro, Brazil

Paulo Eduardo Ocke Reis

Dante Pazzanese Institute of Cardiology,Department of Clinical Research, Sao Paulo, Brazil

Rogerio de MeloCosta Pinto

Federal University of Uberlandia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Gustavo BF Oliveira

Graduate Program in Medicine and Health, Department of Health and Sciences, Federal University of Bahia, Brazil

Alvaro Avezum

Graduate Program in Medicine and Health, Department of Health and Sciences, Federal University of Bahia, Brazil

Mansueto Neto

Federal University of Minas Gerais, Department of Cardiology, MG, Brazil

Andre Duraes

Federal University of Minas Gerais, Department of Cardiology, MG, Brazil

Rose Mary Ferreira Lisboa da Silva

Federal University of Mato Grosso, Department of Medicine, MT, Brazil

Antonio Jose Grande

FOP Unicamp, Department of Clinical Research, SP, Brazil

Celise Denardi

Division of Cardiology, Duke University Medical Center, Department of Clinical Research, Durham, NC, USA

Renato Delascio Lopes

Monash Cardiovascular Research Centre and Monash Heart, Department of Cardiology, Clayton, Victoria, Australia

Nitesh Nerlekar

Tehran University of Medical Sciences, Department of Medicine, Iran

Shahab Alizadeh

University of Connecticut/Hartford Hospital Evidence-Based Practice Center, Hartford, Department of Comparative Effectiveness and Outcomes Research Health Outcomes, CT, USA

Adrian V Hernandez

Laboratory of Epidemiology, University of Extremo Sul Catarinense, Criciuma, Brazil

Maria Ines da Rosa

Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China

Gary Tse

Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China

Tong Liu

Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hos-pital of Tianjin Medical University, Tianjin, China

Giuseppe Biondi-Zoccai

Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina & Department of AngioCardioNeurology, IRCCS Neuromed, Pozzilli, Italy

DOI: 10.15761/JIC.1000251

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Abstract

Introduction:HDL-C is believed to retard the formation of atherosclerotic lesions by removing excess cholesterol from cells and preventing endothelial dysfunction. However, there are no systematic analyses or well-conducted meta-analyses to evaluate the relationship between very low HDL-Cand stroke1. The aim of this study is to examine this association of very low HDL-Cwith stroke in different ages and sex.

Methods and analysis:The update systematic review and meta-analysis will be conducted using published studies that will be identified from electronic databases (ie, PubMed, EMBASE, Web of Science, and Google Scholar. Studies that (1) examined the association between very low HDL-Cand stroke, (2) had a longitudinal or prospective cohort design, (3) were conducted among in adults aged 34 to 70 years., (4) provided sufficient data for calculating ORs or relative risk with a 95% CI, (5) were published as original articles written in English or other languages, and (6) have been published until January 2018will be included. Study selection, data collection, quality assessment and statistical syntheses will be conducted based on discussions among investigators.

Ethics and dissemination:Ethics approval was not required for this study because it was based on published studies. The results and findings of this study will be submitted and published in a scientific peer-reviewed journal.

Trial registration number:PROSPERO (CRD42018083410).

Key words

HDL-C, stroke, systematic review

Abbreviations

CIs = Confidence Intervals, HDL = high-density lipoprotein, LDL = low-density lipoprotein, MD = mean difference, RR = risk ratio, WC = waist circumference

Strengths and limitations of this study

This systematic review and meta-analysis will offer better understanding regarding the association between metabolic syndrome and stroke. The findings from this study will be useful for assessing of very low HDL-Cand the risk factors in stroke, and determining approaches for prevention of stroke the future.

An improved understanding of this relationship may help to inform public health stroke prevention strategies.

Included studies may have substantially different methodologies, which could limit our ability to draw reliable conclusions from the existing evidence base. Depending on the results, confounding factors that were not adjusted for the selected studies and low generalizability situations can be limitations.

To minimize these limitations, we will evaluate the heterogeneity between the studies, perform sensitivity analysis and meta-regression.

Background

HDL is believed to retard the formation of atherosclerotic lesions by removing excess cholesterol from cells and preventing endothelial dysfunctionand a very low HDL-C increased risk of cardiovascular events [1]. It is in large part the results of unbalanced diet, low socioeconomic and cultural levels, stress and sedentary lifestyle. Although the literature on the very low HDL-C and the risk factors for stroke has been increasing, to our knowledge, a systematic review of the association between very low of HDL-C and risk of stroke has not yet been conducted [1-11]. This study aims to systematically access the association between a very low HDL-C and the stroke in adults aged 34 to 70 years; and to provide a framework to further understand these factors to better target prevention strategies.

Methods/design

This systematic review of the literature will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The databases PubMed, Embase, Web of Science, Google Scholar, and Cochrane will be searched for articles [12]. Our search will focus on cohort, case-control and cross-sectional studies examining the association between very low HDL-Cand stroke. The primary outcome is stroke. Two reviewers will independently screen articles, extract relevant data and assess the quality of the studies.

The aim of this analysis is to investigate whether there is an association between HDL-C levels and stroke in the adult population with cardiovascular outcomes. We plan to look at the prevalence of very low HDL-C levels in stroke individuals and to analyze whether low and very low HDL levels (<20; 20-30; 30-40 vs.> 40 mg/dL as ref. according to sex) in stroke might to be additional risk factor and predictor of CVD events, and mortality (CV-mortality, mortality and all-cause mortality) [1-2].

The study is registered with PROSPERO (CRD42018083410). This protocol conforms to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines [13,14].

Systematic review registration

This protocol is registered in the PROSPERO registry of the University of York (Reference number: CRD42018083410).

Objectives

The primary objective is to identify and summarize the association with of very low of HDL-C levels and with stroke risk in adults (34-70 years) in different ages and sexes.

Eligibility criteria

The PICOS strategy (population, intervention (changed to exposure for the purposes of this review of observational studies), comparator, outcome, study characteristics) was used to define the eligibility criteria for this study: Inclusion criteria: studies will be considered if they include: ischemic stroke or transient ischemic attack patients in the diagnosis of the low and very low HDL levels (<20; 20-30; 30-40 vs.> 40 mg/dL as ref. according to sex) is made during hospitalization. To evaluate the association between of the low and very low HDL levels (<20; 20-30; 30-40 vs.> 40 mg/dL as ref. according to sex) and etiology stroke; - defined according to a validated classification. Exclusion: Reviews or abstracts from congresses/conferences, letters, editorials, case reports, interventional studies or clinical trials. We excluded studies that did not provide information on low and very low HDL levels (<20; 20-30; 30-40 vs.> 40 as ref. according to sex) in cardioembolic and a control group (healthy controls or other stroke subtypes).

Data will be extracted using a standardized template. We will use the PICOS (Population, Intervention, Comparator, Outcomes and Study design) framework, originally devised to formulate a research question, as a basis to develop data extraction criteria. As this is an aetiological study, ‘exposure’ will replace ‘intervention’ and ‘study characteristics’ will replace ‘study design’. Data items on the following five domains will be extracted:

  1. Population: characteristics of the study population (eg, mean/median age, ethnic distribution), inclusion and exclusion criteria
  2. Exposure: definition and identification of very low HDL-C.
  3. Comparators: definition and identification of unexposed individuals, number of unexposed subjects
  4. Outcomes: definition and identification of primary (stroke) and secondary outcomes (stroke subtypes or TIA), number of subjects with outcome
  5. Study characteristics: authors, publication year, setting/source of participants, design, methods of recruitment and sampling, period of study, length of follow-up time (if relevant), aims and objectives.

Outcomes

Primary outcomes

All Stroke (relative risk (RR), and odds ratio (OR)). Studies will be included in the review if the primary outcome was any stroke, clinically diagnosed or self-reported, and was the patient’s first or subsequent stroke.

Secondary outcomes

Neurological outcome (NIHSS, mRS, BI) and functional (discharge options)

For studies meeting the inclusion criteria, we will additionally assess the following secondary outcomes: TIA (a transient episode of neurological dysfunction caused by focal brain, spinal cord or retinal ischaemia without acute infarction) and subtypes of stroke (ischaemic vs haemorrhagic). Most strokes (approximately 85%) are ischaemic (an episode of neurological dysfunction caused by focal, cerebral, spinal or retinal infarction), compared with haemorrhagic (neurological dysfunction caused by a focal collection of blood within or on the surface of the brain). Eligibility criteria may be further developed, in an iterative process, after preliminary searches.

Study design

This is a systematic review and meta-analysis protocol of prospective cohort studies, following the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocols) guideline [14]. The systematic review and meta-analysis will be reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline [15]. The whole process of study selection is summarized in the PRISMA flow diagram (Figure 1).

Figure 1. Flow diagram of study selection process.

The study protocol was registered at PROSPERO (CRD42018083410).

Search strategy

A systematic review of the literature will be conducted. A language restriction shall not be applied to the search. If there are relevant non-English abstracts, attempts shall be made to translate them wherever possible. The following bibliographic databases (Embase, PubMed-MEDLINE, Web of Science, Cochrane Library, and Google Scholar) will be searched for articles published until January 2018.

In regard to grey literature, the proceedings of the International Stroke Conference, European Stroke Conference, European Stroke Organization, World Stroke Organization, and the Annual General Meeting of the American Heart Association will be searched. Several approaches will be undertaken to increase our retrieval of relevant articles. The journals Stroke, International Journal of Stroke, Journal of Stroke and Cerebrovascular Diseases, Lancet Neurology, Diabetes, Neuroradiology, and American Journal of Neuroradiology will be hand-searched to ensure studies have not been missed. These journals are considered to be of the highest impact for the clinical subject of interest.

Our search focuses on studies examining the association between very low HDL-C diagnosis and stroke risk in adults (34-70 years) [11]. At each step of the selection process, reasons for inclusion/exclusion will be recorded in the PRISMA Flowchart [13].

Data collection

A record will be kept of all searches and search decisions to ensure reproducibility. Search results will be exported to a citation management program (EndNote ver. 7.0). Duplicates will be removed and retained separately. The resulting references will be exported separately to the two reviewers for independent review using MS Excel.

Selection of studies

Two authors (LR, FCV) will independently screen all titles and abstracts identified through the literature searches and will exclude all records clearly not meeting inclusion criteria. Disagreements will be resolved by consensus. The selection process will be pilot tested to ensure a high degree of agreement between reviewers. Full text of the remaining studies will then be retrieved. The same two authors (LR, FCV) will independently assess the papers for fulfilment of inclusion criteria. In case of differences of opinion regarding study inclusion, a third review author (GBZ) will serve as arbiter. To avoid double counting, if multiple publications based on the same cohort of participants are retrieved, only the study reporting the largest sample size will be used. The reasons for excluding papers for which the full text was retrieved will be documented.

Data extraction and management

A data extraction form will be used to collect details from the included studies. The form includes information on study design, patient population, and presence of stroke. Two review authors (LR and FCV) will independently extract the data. The data extraction form will be pilot tested on several papers to ensure consistency and that all relevant information is being captured. If necessary, a statistician will review the extraction of data to further ensure quality and reliability. Authors will be contacted for missing data.

In terms of the study results, unadjusted and fully adjusted effect estimates for the association between very low HDL-C and stroke will be recorded. Details of the confounders measured and adjusted for will also be noted. Results of any additional stratified analyses will also be recorded. Where possible, results from additional subgroup analyses with evidence regarding our non-primary objectives will also be recorded, for example, the association between very low HDL-C and the secondary outcomes (stroke subtype or TIA).

Assessment of methodological quality

Two investigators (LR and FCV) will independently assess each selected study for study quality using the Newcastle-Ottawa Quality Assessment Scale (NOS) [16]. The NOS evaluates cohort studies based on eight items categorized into the following three groups: (1) selection of the study cases, (2) comparability of the population, and (3) ascertainment of whether the exposure or outcome includes any risk of bias (ie, selection bias or bias from lost to follow-up). The NOS is scored ranging from 0 to 9, and studies with scores ≥7 are considered as high quality.16 Discrepancy of quality assessment among the investigators will be solved by discussion and consensus among all authors.

Data synthesis and statistical analysis

We anticipate that there may be significant heterogeneity in the prevalence of very low HDL-C features of stroke. There are several factors that could contribute to such heterogeneity. The relative risk (RR), and odds ratio (OR) are the way the result will be expressed statistically.

These factors include the following: differences in demographic and clinical features (e.g., age, hypertension, renal disease, smoking, duration and severity of diabetes) among study cohorts; differences in definitions of HDL-C. An I2 statistic will be calculated for the studies to be included in each proposed meta-analysis (i.e. for each neuroradiology correlate of interest) with values of 25, 50, and 75% suggesting low, moderate, or high degrees of heterogeneity, respectively, which report a dichotomized (i.e., present or absent) or categorical (i.e., absent, mild, moderate, severe) shall be harmonized for meta-analysis if deemed appropriate by our statistician. Other types of rating scales shall not be included in a meta-analysis and the data based on any such data scale would be presented in narrative form.

If significant heterogeneity between studies, as determined by consultation with our statistician, prevents meaningful pooling of the data, we will limit ourselves to providing a narrative description of observed trends. Given the heterogeneity of the populations studied, assumption of a fixed effect size across populations would not be justified, thus analyses would be performed using a random effects model. Given the dichotomized (presence or absence) or categorical (severity measure) nature of our data of, meta-analysis will be performed a random effects analysis. We will also add funnel graphs, publication bias analysis and a meta-regression analysis.

If there are sufficient data to allow such analyses (in principle from as few as a single high-quality study, but if possible by pooling data from multiple studies), we will perform subgroup analyses for participants with renal disease and participants with hypertension. In addition, if sufficient data are available, we shall perform subgroup analyses by age and diabetes duration. Funding sources and conflict of interest will be extracted from included studies. Statistical analysis will be performed using RevMan software.

Strategy for data synthesis

The data of interest presented as continuous (mean value and SD) will be used to perform meta-analysis to obtain the standardized mean difference (SMD) and 95% confidence interval (CI). Cocharn's Q-statistic and I-squared test will be used to test for heterogeneity between the included studies. If a I-squared value will be greater than 50% or a p value of the Q-test will be less than 0.05, indicating maximal heterogeneity among the included studies, a random-effect model will be put into use.

Analysis of subgroups or subsets

The subgroup meta-analyses will be conduct according to the pre-specified study-level characteristics using a fixed-effects meta-analysis and if there is substantial heterogeneity, we will use the random effects model. The sources included location, sex, age, method of HDL-C assessment, the definition of stroke. We also will conduct sensitivity analyses to evaluate the potential sources of heterogeneity in the analyses.

Summary of Evidence

We will produce a narrative synthesis of the main results extracted from articles in full text. A summary of the included studies will provide information on the authors, study design, participants, number and age of the subjects, theoretical structure (if relevant), alcohol consumption (as primary outcome of interest), main findings, Study information. Special emphasis will be placed on the identification of very low of HDL-C and the risk of stroke. In the presentation of the results, we will try to separate the factors for which the evidence of causality is strong (from longitudinal studies) and factors for which the causal nature of the relationship is less secure (cross-sectional data). A graphical summary of all the data they represent will be provided and take into account the number of studies that provide evidence of a factor and the relative strength of the association presented based on study design and quality assessment. The membership level will be evaluated based on adjusted data.

Discussion

This systematic review will synthesize research evidence to establish whether the risk of developing stroke is relatively high in adults with very low HDL-C. Strengths and limitations will be highlighted in the identified evidence. Strength of observational data may include large sample size, high rate of follow-up and frequency of stroke more likely to be representative of the population at risk. Limitations may include the quality of data extracted which may not allow studies to be combined in a meta-analysis. This may be overcome by presenting the findings in a descriptive manner. This review will be conducted in collaboration with an experienced librarian who helped appraise the search criteria, refine the keywords and MeSH terms and identify appropriate database(s). To the best of our knowledge, no reviews have been published exploring the study question; however, if a review addressing a similar question is published, it will be incorporated in this review and added in a meta-analysis if feasible.

Implications of results

This systematic review will provide an updated and quantifiable estimate of the risk of stroke in adults with very low HDL-C. Furthermore, the systematic search will identify where future research is required. For instance, this review may inform a prognostic study which may be useful in understanding the course and factors associated with stroke development.

Authors’ information

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Availability of supporting data

Not applicable.

Funding

Not applicable.

Authors' contributions

LR, ASRB, ALDD, ACF, NPS, PMMD, RMS, JLO, MN, AD, GBFO, GBZ, SAH, PEOR, AJG, RMP, HZ, ACF, PMMD, TMF, GT, TL, NN, SA, CD, PFSG, A.A, AVH, MIR, RDL and FCV conceived the study idea and devised the study methodology. LR, ASRB, ACPC and ESR participated in the design and coordination of the study. LR was primarily responsible for protocol writing and developed the search strategy. LR and FCV will screen identified literature, conduct data extraction and analyses the review findings. All authors read the drafts, provided comments and agreed on the final version of the manuscript.

Acknowledgements

Not applicable.

References

  1. Ahmed ST, Rehman H, Akeroyd JM, Alam M, Shah T, et al. (2018) Premature Coronary Heart Disease in South Asians: Burden and Determinants. Curr Atheroscler Rep 20: 6. [crossref]
  2. Oliveira GB, Avezum A, Roever L (2015) Cardiovascular disease burden: evolving knowledge of risk factors in myocardial infarction and stroke through population-based research and perspectives in global prevention. Front Cardiovasc Med 2: 32. [crossref]
  3. Roever L, Biondi-Zoccai G, Chagas ACP (2016) Non-HDL-C vs. LDL-C in predicting the severity of coronary atherosclerosis. Heart Lung Circ 25: 953–954.
  4. Roever L, Resende ES, Diniz ALD, Veloso FC, Penha-Silva N, et al. (2016) Abdominal obesity and association with atherosclerosis risk factors. Medicine (Baltimore) 95: e1357. [crossref]
  5. Roever L, Resende ES, Diniz ALD, Penha-Silva N, Veloso FC, et al. (2015) Ectopic adiposopathy and association with cardiovascular disease risk factors: The Uberlândia Heart Study. Int J Cardiol 190: 140–142. [crossref]
  6. Roever L, Resende ES, Veloso FC, Diniz AL, Penha-Silva N, et al. (2015) Perirenal fat and association with metabolic risk factors. Medicine (Baltimore) 94: e1105. [crossref]
  7. van Rooy MJ, Pretorius E (2015) Metabolic syndrome, platelet activation and the development of transient ischemic attack or thromboembolic stroke. Thromb Res 135: 434-442. [crossref]
  8. Sarrafzadegan N, Gharipour M, Sadeghi M, Nezafati P, Talaie M, et al. (2017) Metabolic Syndrome and the Risk of Ischemic Stroke. J Stroke Cerebrovasc Dis 26: 286-294. [crossref]
  9. Sánchez-Iñigo L, Navarro-González D, Fernández-Montero A, Pastrana-Delgado J, Martínez JA (2017) Risk of incident ischemic stroke according to the metabolic health and obesity states in the Vascular-Metabolic CUN cohort. Int J Stroke 12: 187-191. [crossref]
  10. Chei CL, Yamagishi K, Tanigawa T, Kitamura A, Imano H, et al. (2008) Metabolic Syndrome and the Risk of Ischemic Heart Disease and Stroke among Middle-Aged Japanese. Hypertens Res 31: 1887-1889.
  11. Fang X, Liu H, Zhang X, Zhang H, Qin X, et al. (2016) Metabolic Syndrome, Its Components, and Diabetes on 5-Year Risk of RecurrentStroke among Mild-to-Moderate Ischemic Stroke Survivors: A Multiclinic Registry Study. J Stroke Cerebrovasc Dis 25: 626-634. [crossref]
  12. Glasziou P, Irwig L, Bain C, Colditz G (2001) Systematic reviews in health care: a practical guide. Cambridge: Cambridge University Press.
  13. Newcastle Ottawa Scale (The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses), 2017.
  14. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 151: 264-269. [crossref]
  15. Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, et al. (2015) Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ 349: g7647. [crossref]
  16. Wells GA, Shea B, O’Connell D (2017) The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses.

Editorial Information

Editor-in-Chief

Massimo Fioranelli
Guglielmo Marconi University

Article Type

Research Article

Publication history

Received date: August 01, 2018
Accepted date: August 13, 2018
Published date: August 16, 2018

Copyright

©2018 Roever L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Roever L, Resende ES, Diniz AD, Penha-Silva N, O'Connell JL, et al. (2018) Very low levels of HDL-cholesterol and stroke: Protocol for systematic review and meta-analysis. J Integr Cardiol 4: DOI: 10.15761/JIC.1000251

Corresponding author

Dr. Leonardo Roever

Department of Clinical Research, Federal University of Uberlandia, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari, Brazil

Figure 1. Flow diagram of study selection process.