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Research Article | DOI: https://doi.org/10.31579/2641-0419/261
1 Assistant professor of Biochemistry, Faculty of Medicine, Department of Biochemistry, Nile Valley University- Atbara, Sudan.
2 Assistant professor of Microbiology, Faculty of Medicine, Department of Microbiology, Nile Valley University- Atbara, Sudan.
3 Assistant professor of hematology, Faculty of Medical Laboratory Science, University of Al Fashir, Sudan.
4 Assistant professor of Dermatology, Ministry of health, Khartoum State, Sudan.
5 Associate professor of Physiology, Faculty of Medicine, Sinnar University, Sinnar State, Sudan.
*Corresponding Author: Nahla Ahmed Mohammed Abderahman, Assistant professor of Biochemistry, Nile Valley University, Faculty of Medicine- Atbara, Sudan.
Citation: Mohammed Abderahman NA, Ibrahim Ahmed MA, Abdelrahman Adam NK, Mohamed Abderahman MA, Mohamed Ismaeil AM. (2022). Gender as a Risk Factor for Cardiovascular Disease in type 2 Diabetes-Sudan. J. Clinical Cardiology and Cardiovascular Interventions, 5(5); Doi:10.31579/2641-0419/261
Copyright: © 2022 Nahla Ahmed Mohammed Abderahman, 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.
Received: 07 April 2022 | Accepted: 25 April 2022 | Published: 29 April 2022
Keywords: Type 2 diabetes mellitus; cardiovascular disease; dyslipidemia; Sudan
OBJECTIVES: Researchers intended to see if there was a link between gender and an increased risk of dyslipidemia and cardiovascular disease (CVD) in Sudanese people with type 2 diabetes mellitus (T2DM) by measuring fasting plasma glucose (FPG), glycated hemoglobin (HbA1C) and lipid profiles as well as blood pressure.
MATERIALS AND METHOD: During the period of April 2012 and March 2013, a case-control study was conducted in Central Sudan. The study involved 300 people who met the inclusion criteria, who were divided equally into diabetes, diabetic hypertension, and non-diabetic non hypertensive (NDNH) groups to estimate FPG, HbA1C, and lipid profile levels (TC, HDL-C, LDL-C, and TG). A15, a random access auto-analyzer bio system, was used to analyze the samples. A questionnaire was completed, which included personal information, anthropometric and biochemical measurements. After each respondent gave verbal consent, venous blood was drawn after an overnight fast. The statistical analysis was done with the help of a statistical software for social sciences (SPSS version 16, Chicago, IL, USA).
RESULT: In the women's group, statistically significant differences in anthropometric measurements (WC =0.017, BMI =0.004, SBP <0.0001, DBP=0.029) and biochemical measurements (FPG <0.0001, HbA1C =0.007, HDL-C=0.027) were discovered when the means were compared. When the mean HDL-C values of diabetic and diabetic hypertensive women were compared, there was a significant rise of 0.029. Men, on the other hand, had statistically significant disparities in anthropometric parameters, with WC=0.001, BMI <0.0001, and SBP <0.0001. FPG showed a significant increase of <0.0001, whereas HbA1C mean in diabetes and diabetic hypertensive patients showed poor management with no significant increase (0.615). HDL-C had a modestly high mean (0.089), while DBP had a non-significant increase (0.172).
CONCLUSION: Diabetic and diabetic hypertensive women were at increased risk of dyslipidemia and CVD.
DM is a group of metabolic disorders with multiple etiologies that are characterized by chronic hyperglycemia caused by defects in insulin secretion, insulin action, or both, as well as disturbances in carbohydrate, fat, and protein metabolism, resulting in long-term organ damage, dysfunction, and failure. Thirst, polyuria, blurred vision, and weight loss are all symptoms of diabetes mellitus. Ketoacidosis or a non-ketotic hyperosmolar condition might occur in the most severe cases, resulting in stupor and coma (Alberti and Zimmet, 1998). The global prevalence of DM was estimated to be 8.8% among adults aged 20-79 years, (Zinman, 2015); 7.0% for male, 8.1% for female and 7.5% for both sex (Islam, et al., 2014). T2DM will overtake obesity as the major cause of disease burden in men and the second greatest cause in women by 2023. (Goss, 2008).
Hyperglycemia, which induced by high FPG or high postprandial plasma glucose (PPG), has major immediate consequences, including endocrine emergencies, and is one of the complications of diabetes mellitus along with diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) (Umpierrez G and Korytkowski M, 2016). Furthermore, chronic hyperglycemia is a significant risk factor for the development of microvascular complications, such as retinopathy, nephropathy, and neuropathy, which are caused by damage to small vessels within the microcirculation of the kidney, retina, and neurons.
Besides that, macrovascular complications, such as CVD, are caused by damage to large vessels (Orasanu G and Plutzky J, 2009). Macrovascular disease affects 40% of newly diagnosed T2DM patients (Laakso, 2001), and it is responsible for 80% of all premature illness and death due to an elevated risk of CVD (Turner and Holman, 1996). When compared to people without diabetes, T2DM is responsible for a 2 to 4 fold increase in vascular problems (Assmann and Schulte, 1988). According to Islam et al. (2014), 50% of T2DM patients die from cardiovascular complications, while high blood pressure is responsible for 75% of specific cardiovascular issues (Bild and Teutsch, 1987; Sowers, et al., 2001). Diabetics with CVD have a 3-fold greater mortality rate than the overall population (Sowers, et al., 2001). CVD is one of the metabolic syndrome, which is defined as a group of metabolic diseases that includes glucose intolerance, T2DM, atherogenic dyslipidemia, high blood pressure, Hypertension (HTN), and central obesity (Expert Panel on Detection and Treatment of High Blood Cholesterol in, 2001). These abnormalities occur in the same individual and cause a multiple set of risk factors that commonly appear to interact (Sattar, et al., 2003).
The presence of three or more of the following metabolic disorders meets the criteria for the metabolic syndrome: abdominal obesity (WC >102 cm in men and >88 cm in women), hypertriglyceridemia (TG >150 mg/dL), low HDL-C levels (HDL-C < 40>130 mmHg, DBP >85 mmHg), and FPG >110 mg/dL are all risk factors for CVD (Matthews, et al., 1985). As a result, T2DM patients exhibit metabolic abnormalities in lipoprotein quality and quantity, which are linked to an elevated risk of cardiovascular problems and chronic heart disease (Assmann and Schulte, 1988).
STUDY SUBJECT, DESIGN AND AREA:
300 persons of both genders participated in a cross-sectional case-control study. There were 222 female participants and 78 male participants in this study. A total of 200 patients with type 2 diabetes were found, with the diabetic and diabetic hypertensive groups being split equally. Non-diabetic, non-hypertensive volunteers made up the remaining group (NDNH). The participants came from both rural and urban locations in the Wad Madani city district, and they were treated at the Abu A'gla health center. The research lasted from April 2012 through March 2013.
INCLUSION AND EXCLUSION CRITERIA:
Participants who did not have a current infection or diabetic problems were included in the trial. NDNH persons who agreed to participate were enrolled in the study. If a subject did not match any of the inclusion criteria, they were removed from the study.
ETHICAL APPROVAL:
The Ethics Committee of the Ministry of Health granted ethical permission for the study.
After informed consent, all patients and NDNH participants provide their personal data and anthropometric measurements, (weight was measured in kilograms (kg) and heights in meters (m), and the body mass index (BMI) was calculated using the formula: BMI = (weight in kg)/(height in m)2 (Ng M, 2014). Using the A15, a random access auto-analyzer bio system, plasma samples were evaluated for various biochemical parameters.
STATISTICAL ANALYSIS:
The statistical analysis was done with the help of a statistical software for social sciences (SPSS version 16, Chicago, IL, USA). The mean and standard error of the mean were used to express all of the numerical data. The proportion of distribution of study participants was calculated using the Chi-square test. Analysis of variance was used to compare differences in the means of continuous variables between the research groups (ANOVA). To compare differences between the study groups, multiple comparisons (post hoc tests such as Tukey HSD, Gabriel test, and Games Howell) were performed. P-values of 0.05 or less (p<0>
The participants in this study were separated into three groups: diabetes, diabetic hypertensive, and NDNH as a control group. Men made up 78 participants (26 percent) of the general study sample, while women made up 222 participants (74 percent ). The participants age ranged from 22 to 65 years old. The group with the highest mean weight, WC, BMI, SBP, and DBP (80.28kg, 104.14cm, 31.65kg/m2, 128.10mmHg, and 81.40mmHg, respectively) was the diabetic hypertensive group (Table1).
Variable | Diabetic (n=100) | Diabetic-hypertensive (n=100) | NDNH (n=100) |
Gender (men/ women) | 26 /74 | 21/79 | 31 /69 |
Age (years) | 49.67±0.71 | 56.17±0.72 | 46.74±0.78 |
Weight (kg) | 79.95±1.69 | 80.28±1.42 | 72.51±1.38 |
WC (cm) | 98.69±1.15 | 104.14±1.10 | 98.15±1.07 |
BMI (Kg/m2) | 30.36±0.58 | 31.65±0.59 | 27.54±0.55 |
SBP (mmHg) | 118.60±0.80 | 128.10±1.43 | 114.30±1.32 |
DBP(mmHg) | 76.70±0.71 | 81.40±0.93 | 82.00±1.95 |
Duration of DM (years) | 4.75±0.41 | 7.18±0.62 | - |
Duration of HTN (years) | - | 5.78±0.57 | - |
WC=waist circumference; BMI=body mass index, Cm=centimeter, Kg=kilogram, m= meter, SBP= Systolic Blood Pressure; DBP= Diastolic Blood Pressure; mmHg= millimeter of mercury, DM=Diabetes mellitus, HTN= Hypertension
Table 1: The general characteristics of anthropometric and biochemical measurements of the study groups
Variable | Subgroup | |||
Diabetic (n=74) | Diabetic-hypertensive (n=79) | NDNH (n=69) | p-value | |
Age (years) | 48.92±0.79 | 55.44±0.81 | 46.48±0.86 | <0> |
WC (cm) | 99.03±1.33 | 103.99±1.19 | 100.65±1.26 | 0.017 |
BMI (Kg/m2) | 30.78±0.62 | 32.22±0.65 | 29.09±0.68 | 0.004 |
SBP (mmHg) | 118.65±0.90 | 126.46±1.45 | 114.64±1.63 | <0> |
DBP (mmHg) | 77.03±0.83 | 81.14±1.10 | 82.90±2.48 | 0.029 |
Duration of DM (years) | 5.08±0.51 | 6.37±0.68 | - | 0.137 |
Duration of HTN (years) | - | 6.01±0.68 | - | - |
FPG (mg/dL) | 215.34±10.97 | 165.81±7.42 | 87.57±2.13 | <0> |
HbA1C (%) | 8.38±0.31 | 7.3506±0.22 | - | 0.007 |
TC (mg/dL) | 197.42±4.95 | 192.32±4.69 | 200.33±5.86 | 0.535 |
LDL-C (mg/dL) | 105.45±3.51 | 111.05±3.36 | 107.62±4.10 | 0.537 |
HDL-C (mg/dL) | 52.68±1.85 | 51.13±1.58 | 57.97±2.12 | 0.027 |
TG (mg/dL) | 173.62±10.35 | 162.96±8.58 | 149.19±9.44 | 0.203 |
WC=waist circumference; BMI=body mass index, Cm=centimeter, Kg=kilogram, m= meter, SBP= Systolic Blood Pressure, DBP= Diastolic Blood Pressure; mmHg= millimeter of mercury, DM=Diabetes mellitus, HTN= Hypertension FPG=fasting plasma glucose, HbA1C=Glycosylated Hemoglobin, TC=total cholesterol, LDL-C=low density lipoprotein cholesterol, HDL-C=high density lipoprotein cholesterol, TG=tri-glycerides, mg=milligram; dL=deciliter.
Table 2: Comparison of mean of anthropometric and biochemical parameter in the women groups (n=222)
In the men's group, mean comparisons indicated statistically significant differences in anthropometric parameters (age, WC and BMI), and biochemical measurement FPG as well as marginal significance difference in HDL-C in addition to SBP and DBP in men's group (Table 3).
Variable | Sub-group | |||
Diabetic (n=26) | Diabetic-hypertensive (n=21) | NDNH (n=27) | p-value | |
Age (years) | 51.81±1.51 | 58.90±1.46 | 47.32±1.64 | <0> |
WC (cm) | 97.73±2.33 | 104.71± 2.71 | 92.58 ±1.64 | 0.001 |
BMI (Kg/m2) | 29.19±1.37 | 29.53±1.32 | 24.08±0.53 | <0> |
SBP (mmHg) | 118.46±1.73 | 134.29±3.88 | 113.55±2.25 | <0> |
DBP (mmHg) | 75.77±1.38 | 82.38±1.68 | 80.00±3.08 | 0.172 |
Duration of DM (years) | 3.82±0.57 | 10.24±1.38 | - | <0> |
Duration of HTN (years) | - | ±6.671.09 | - | - |
FPG (mg/dL) | 215.31±22.45 | 160.19±15.29 | 94.68±6.10 | <0> |
HbA1C (%) | 8.12±0.67 | 7.67±0.55 | - | 0.615 |
TC (mg/dL) | 188.31±7.09 | 180.24±11.38 | 191.23±6.25 | 0.626 |
LDL-C (mg/dL) | 100.46±4.50 | 101.43±5.93 | 106.77±4.17 | 0.575 |
HDL-C (mg/dL) | 54.15±3.25 | 44.48±3.00 | 50.03±2.48 | 0.089 |
TG (mg/dL) | 169.81±15.33 | 150.70±13.55 | 141.23±13.71 | 0.340 |
WC=waist circumference; BMI=body mass index, Cm=centimeter, Kg=kilogram, m= meter, SBP= Systolic Blood Pressure, DBP= Diastolic Blood Pressure; mmHg= millimeter of mercury, DM=Diabetes mellitus, HTN= Hypertension FPG=fasting plasma glucose, HbA1C=Glycosylated Hemoglobin, TC=total cholesterol, LDL-C=low density lipoprotein cholesterol, HDL-C=high density lipoprotein cholesterol, TG=tri-glycerides, mg=milligram; dL=deciliter.
Table 3: Comparison of mean of anthropometric and biochemical parameter in the men groups(n=78):
In the women's group, Post Hoc test revealed a significant difference in WC between the diabetes and diabetic hypertensive groups (p=0.017). The NDNH group varied considerably from the diabetic hypertensive group in terms of mean BMI (p=0.003). FPG was significantly different between the diabetic hypertensive and the NDNH groups (p=0.001), as well as between the diabetic and the NDNH groups (p<0 p=0.029)>
| Group | Diabetic (n=74) | Diabetic hypertensive (n=79) | Diabetic hypertensive (n=79) | ||||||
| Compared with | NDNH (n=69) | NDNH (n=69) | diabetic (n=74) | ||||||
| Variable | Mean Diff | SE | p-value | Mean Diff | SE | p-value | Mean Diff | SE | p-value |
WC (cm)† | -1.63 | 1.83 | 0.650 | 3.34 | 1.74 | 0.137 | 4.96 | 1.79 | 0.017 |
BMI (Kg/m2)† | 1.69 | 0.92 | 0.165 | 3.13 | 0.94 | 0.003 | 1.44 | 0.90 | 0.249 |
FPG (mg/dl)§ | 127.77 | 11.18 | <0> | 78.24 | 7.720 | <0> | -49.53 | 13.24 | 0.001 |
TC (mg/dl)† | -2.91 | 7.41 | 0.971 | -8.02 | 7.29 | 0.614 | -5.10 | 7.16 | 0.856 |
LDL-C (mg/dl)† | -2.18 | 5.25 | 0.967 | 3.43 | 5.16 | 0.880 | 5.60 | 5.07 | 0.610 |
HDL-C (mg/dl)† | -5.30 | 2.82 | 0.149 | -6.84 | 2.65 | 0.029 | -1.55 | 2.44 | 0.801 |
TG (mg/dl)‡ | 24.43 | 13.65 | 0.208 | 13.77 | 13.31 | 0.659 | -10.66 | 13.16 | 0.803 |
WC=waist circumference; BMI=body mass index, Cm=centimeter, Kg=kilogram, m= meter, FPG=fasting plasma glucose, TC=total cholesterol, LDL-C=low density lipoprotein cholesterol, HDL-C=high density lipoprotein cholesterol, TG=tri-glycerides, mg=milligram; dL=deciliter, †= Tukey HSD; ‡=Gabriel test; §=Games Howell
Table 4: Post hoc analysis in the women group
In the men's group, Post Hoc test revealed a significant difference in mean BMI between the NDNH group and each of the diabetic (p=0.004) and diabetic hypertensive (p=0.002) groups, beside significant difference in WC between diabetic and NDNH group (0.001) . FPG was significantly different between the NDNH group and each of the diabetic hypertensive (p<0 p=0.001)>
| Group | Diabetic(n=26) | Diabetic hypertensive(n=21) | Diabetic hypertensive(n=21) | ||||||
| Compared with | NDNH (n=27) | NDNH (n=27) | Diabetic (n=26) | ||||||
| Variable | Mean Diff | SE | p-value | Mean Diff | SE | p-value | Mean Diff | SE | p-value |
WC (cm)† | 5.15 | 2.93 | 0.227 | 12.13 | 3.11 | 0.001 | 6.98 | 3.23 | 0.098 |
BMI (Kg/m2)† | 5.11 | 1.47 | 0.004 | 5.45 | 1.42 | 0.002 | 0.34 | 1.91 | 0.983 |
FPG (mg/dl)§ | 120.63 | 23.26 | <0> | 65.51 | 16.46 | 0.001 | -55.11 | 27.16 | 0.118 |
TC (mg/dl)† | -2.92 | 10.79 | 0.990 | -10.99 | 11.46 | 0.711 | -8.07 | 11.89 | 0.873 |
LDL-C(mg/dl)† | -6.31 | 6.45 | 0.697 | -5.35 | 6.86 | 0.820 | 0.97 | 7.12 | 0.999 |
HDL-C (mg/dl)† | 4.12 | 3.93 | 0.650 | -5.56 | 4.18 | 0.460 | -9.68 | 4.33 | 0.083 |
TG (mg/dl)‡ | 28.57 | 19.48 | 0.376 | 9.47 | 20.99 | 0.958 | -19.11 | 21.63 | 0.759 |
WC=waist circumference; BMI=body mass index, Cm=centimeter, Kg=kilogram, m= meter, FPG=fasting plasma glucose, TC=total cholesterol, LDL-C=low density lipoprotein cholesterol, HDL-C=high density lipoprotein cholesterol, TG=tri-glycerides, mg=milligram; dL=deciliter, †= Tukey HSD; ‡=Gabriel test; §=Games Howell
Table 5: Post hoc analysis in the men group
Women with T2DM, as well as diabetic hypertensive women, were found to be at increased risk for developing dyslipidemia and CVD in a recent study. According to previous study, women are more likely than males to develop diabetes complications indicating that DM is sex-related (Sowers,1998; Aso, et al.,2000). Colin, et al., 2010 reported that diabetics were at an increased risk of dyslipidemia, metabolic syndrome, hypertension, hyperglycemia, and lipid problems as they grew older, with higher WC, BMI, and had a family history of HTN in both sexes (Ljungman, et al., 1996), which contradicted our current findings.
Between diabetic hypertensive and NDNH patients, women's HDL-C concentrations were significantly lower in this study. The small variation in the concentration of other lipid profiles was not significant. Men's lipid profiles showed no significant variations across groups, with the exception of HDL-C, which exhibited a marginally significant drop when compared to women; this discrepancy could be related to the research population's varied lifestyles and social habits. These findings contradicted those of (Shahid, et al., 2005), who ensure that male diabetic patients have a higher risk of problems than female diabetic patients. Our findings contradicted those of (Oyewole, et al., 2008; Onmwuliri and Puppet, 2004), who found that sex has no manner on the lipid profile pattern in response to DM. A case-control study conducted in Sudan for lipid profile disorder determinations found that nearly half of 250 diabetic patients male had some lipid profile disorder, with lower mean HDL-C concentration in males than women compared to the NDNH group, indicating that sex is a risk factor for the development of dyslipidemia and CVD, which is consistent with this recent study (Elnasri and Ahmed, 2008).
Diabetic and diabetic hypertensive women were at increased risk of dyslipidemia and CVD.
Dietary restriction and regular exercise are recommended for diabetic patients to reduce their weight, BMI, and WC.
HbA1C and lipid profile must be evaluated on a frequent basis to avoid aggressive DM effects.
Thank you to all of the participants, especially the diabetic patients, for giving their time and expertise to assistance in the completion of this study.
None.
T2DM=Type2 diabetes mellitus; DM=Diabetes mellitus; HTN= Hypertension, CV= Cardiovascular disease; HbA1C=Glycosylated Hemoglobin.
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“The peer review process of JPMHC is quick and effective. Authors are benefited by good and professional reviewers with huge experience in the field of psychology and mental health. The support from the editorial office is very professional. People to contact to are friendly and happy to help and assist any query authors might have. Quality of the Journal is scientific and publishes ground-breaking research on mental health that is useful for other professionals in the field”.
Dear editorial department: On behalf of our team, I hereby certify the reliability and superiority of the International Journal of Clinical Case Reports and Reviews in the peer review process, editorial support, and journal quality. Firstly, the peer review process of the International Journal of Clinical Case Reports and Reviews is rigorous, fair, transparent, fast, and of high quality. The editorial department invites experts from relevant fields as anonymous reviewers to review all submitted manuscripts. These experts have rich academic backgrounds and experience, and can accurately evaluate the academic quality, originality, and suitability of manuscripts. The editorial department is committed to ensuring the rigor of the peer review process, while also making every effort to ensure a fast review cycle to meet the needs of authors and the academic community. Secondly, the editorial team of the International Journal of Clinical Case Reports and Reviews is composed of a group of senior scholars and professionals with rich experience and professional knowledge in related fields. The editorial department is committed to assisting authors in improving their manuscripts, ensuring their academic accuracy, clarity, and completeness. Editors actively collaborate with authors, providing useful suggestions and feedback to promote the improvement and development of the manuscript. We believe that the support of the editorial department is one of the key factors in ensuring the quality of the journal. Finally, the International Journal of Clinical Case Reports and Reviews is renowned for its high- quality articles and strict academic standards. The editorial department is committed to publishing innovative and academically valuable research results to promote the development and progress of related fields. The International Journal of Clinical Case Reports and Reviews is reasonably priced and ensures excellent service and quality ratio, allowing authors to obtain high-level academic publishing opportunities in an affordable manner. I hereby solemnly declare that the International Journal of Clinical Case Reports and Reviews has a high level of credibility and superiority in terms of peer review process, editorial support, reasonable fees, and journal quality. Sincerely, Rui Tao.
Clinical Cardiology and Cardiovascular Interventions I testity the covering of the peer review process, support from the editorial office, and quality of the journal.
Clinical Cardiology and Cardiovascular Interventions, we deeply appreciate the interest shown in our work and its publication. It has been a true pleasure to collaborate with you. The peer review process, as well as the support provided by the editorial office, have been exceptional, and the quality of the journal is very high, which was a determining factor in our decision to publish with you.
The peer reviewers process is quick and effective, the supports from editorial office is excellent, the quality of journal is high. I would like to collabroate with Internatioanl journal of Clinical Case Reports and Reviews journal clinically in the future time.
Clinical Cardiology and Cardiovascular Interventions, I would like to express my sincerest gratitude for the trust placed in our team for the publication in your journal. It has been a true pleasure to collaborate with you on this project. I am pleased to inform you that both the peer review process and the attention from the editorial coordination have been excellent. Your team has worked with dedication and professionalism to ensure that your publication meets the highest standards of quality. We are confident that this collaboration will result in mutual success, and we are eager to see the fruits of this shared effort.
Dear Dr. Jessica Magne, Editorial Coordinator 0f Clinical Cardiology and Cardiovascular Interventions, I hope this message finds you well. I want to express my utmost gratitude for your excellent work and for the dedication and speed in the publication process of my article titled "Navigating Innovation: Qualitative Insights on Using Technology for Health Education in Acute Coronary Syndrome Patients." I am very satisfied with the peer review process, the support from the editorial office, and the quality of the journal. I hope we can maintain our scientific relationship in the long term.
Dear Monica Gissare, - Editorial Coordinator of Nutrition and Food Processing. ¨My testimony with you is truly professional, with a positive response regarding the follow-up of the article and its review, you took into account my qualities and the importance of the topic¨.
Dear Dr. Jessica Magne, Editorial Coordinator 0f Clinical Cardiology and Cardiovascular Interventions, The review process for the article “The Handling of Anti-aggregants and Anticoagulants in the Oncologic Heart Patient Submitted to Surgery” was extremely rigorous and detailed. From the initial submission to the final acceptance, the editorial team at the “Journal of Clinical Cardiology and Cardiovascular Interventions” demonstrated a high level of professionalism and dedication. The reviewers provided constructive and detailed feedback, which was essential for improving the quality of our work. Communication was always clear and efficient, ensuring that all our questions were promptly addressed. The quality of the “Journal of Clinical Cardiology and Cardiovascular Interventions” is undeniable. It is a peer-reviewed, open-access publication dedicated exclusively to disseminating high-quality research in the field of clinical cardiology and cardiovascular interventions. The journal's impact factor is currently under evaluation, and it is indexed in reputable databases, which further reinforces its credibility and relevance in the scientific field. I highly recommend this journal to researchers looking for a reputable platform to publish their studies.
Dear Editorial Coordinator of the Journal of Nutrition and Food Processing! "I would like to thank the Journal of Nutrition and Food Processing for including and publishing my article. The peer review process was very quick, movement and precise. The Editorial Board has done an extremely conscientious job with much help, valuable comments and advices. I find the journal very valuable from a professional point of view, thank you very much for allowing me to be part of it and I would like to participate in the future!”
Dealing with The Journal of Neurology and Neurological Surgery was very smooth and comprehensive. The office staff took time to address my needs and the response from editors and the office was prompt and fair. I certainly hope to publish with this journal again.Their professionalism is apparent and more than satisfactory. Susan Weiner
