Correlation between anti-mullerian hormone with insulin resistance in polycystic ovarian syndrome: a systematic review and meta-analysis.

BACKGROUND: Epidemiological studies regarding the correlation between anti-Müllerian hormone (AMH) and insulin resistance (IR) in polycystic ovarian syndrome (PCOS) remain inconsistent. The primary aim of this study was to determine the correlations between AMH and IR in patients with PCOS and to explore the selected factors that influence the correlations. METHODS: We conducted systemic searches of online databases (PubMed, Science Direct, Taylor and Francis, Scopus, and ProQuest) from inception to December 20, 2023 and manual searches of the associated bibliographies to identify relevant studies. We then performed subgroup and sensitivity analyses to explore the sources of heterogeneity, followed by a publication bias risk assessment of the included studies using the Joanna Briggs Institute critical appraisal tool. We used a random-effects model to estimate the pooled correlations between AMH and the homeostatic model assessment for insulin resistance (HOMA-IR) in patients with polycystic ovarian syndrome (PCOS). RESULTS: Of the 4835 articles identified, 22 eligible relevant studies from three regions were included and identified as low risk of bias. The random-effects pooled correlation estimate was 0.089 (95% confidence interval [CI]: -0.040, 0.215), with substantial heterogeneity (I2 = 87%; τ2 = 0.0475, p < .001). Subgroup analyses showed that the study region did not influence the correlation estimates, and sensitivity analysis showed no significant alteration in the pooled correlation estimate or 95% CI values. No publication bias was observed. CONCLUSION: There was a weak, statistically insignificant correlation between AMH and HOMA-IR in patients with PCOS. The correlation estimates did not vary according to the study participants' regions.

Agreement of Parathyroid Hormone Status Measured by Intact and Biointact Parathyroid Hormone Assays among Chronic Kidney Disease Patients and Its Correlation with Bone Turnover Parameters.

Background: This study aimed to determine the agreement between intact parathyroid hormone (iPTH) and biointact parathyroid hormone (bio-PTH) assays and to correlate them with bone markers. Methods: This cross-sectional study included 180 patients with chronic kidney disease (CKD) stages 3b, 4 and 5D. We measured their iPTH, bio-PTH, 25-hydroxyvitaminD (25(OH)D), C-terminal telopeptide collagen (CTX), procollagen 1 intact N-terminal propeptide (P1NP), calcium, phosphate and alkaline phosphatase (ALP). Results: Higher iPTH than bio-PTH concentrations were seen in CKD stages 3b, 4 and 5D (58[62] versus 55[67] pg/mL, 94[85] versus 85[76] pg/mL and 378[481] versus 252[280] pg/mL, respectively). Both PTH assays showed good agreement among all the subjects, with an intraclass correlation coefficient of 0.832 (P-value < 0.001). The Passing-Bablok showed that the equation for the bio-PTH was PTH = 0.64 iPTH + 15.80, with r = 0.99. The Bland-Altman plots showed increased bias with an increasing PTH concentration. Both PTH assays showed a high positive correlation with CTX and P1NP, a moderate correlation with phosphate, a low correlation with ALP and calcium, and a negligible correlation with phosphate and 25(OH)D. Conclusion: The iPTH and bio-PTH assays were in agreement, but their bias increased with the PTH concentration. The unacceptable large bias indicates that the two assays cannot be used interchangeably. They had a variable correlation with the bone parameters.

The association between breast cancer and consumption of dairy products: a systematic review.

BACKGROUND: Among the world, the most frequently discovered and fatal cancer in women is breast cancer (BC). From the perspective of public health, estimating the BC risk linked to dairy intake may aid in comprehensive management. In epidemiological research data on the association between eating dairy foods and the risk of BC are conflicting. Therefore, we sought to assess the link between dairy food consumption and the development of BC. MAIN TEXT: To summarize and quantify the most recent findings on consuming milk or other dairy foods and the development of BC, we performed a systematic literature review. We checked through several databases for relevant publications published in English up to January 2022. Of the 82 articles identified, only 18 met the inclusion criteria and were analyzed. Nine Prospective, seven Retrospective and two Cross-Sectional studies were finally identified. CONCLUSIONS: Overall, dairy consumption was inversely associated with the risk of developing breast cancer. Future studies will help elucidate the role of dairy products in human health, and their use within a balanced diet should be considered.KEY MESSAGESThe effect of different types of dairy products, and possible dose-response relationships on BC risk remains unknown.Estimating BC risk associated with dairy consumption may help to take the decision-making of physicians and public health policy in developing preventive strategies to reduce its occurrence.This systematic review was conducted to assess dairy consumption and BC risk.Overall, inverse associations were found when looking at dairy consumption and BC risk.

The Association Between the Serum Level of IGF-1 and IGFBP-3 and the Risk of Breast Cancer among Women in the Gaza Strip.

OBJECTIVE: The purpose of this research was to look at the relationship between insulin-like growth factor-1 (IGF-1) and insulin-like growth factor binding protein-3 (IGFBP-3) levels and the risk for breast cancer (BC) among women in the Gaza Strip. METHODS: This case-control study, which included 334 participants (112 women with BC as cases, and 222 women without BC as control), was conducted between January 2021 and August 2022. Research data for the cases were gathered at the Oncology Departments of the Gaza Strip's two hospitals, "Al- Shifa Hospital and Turkish Palestinian Friendship Hospital," as well as from the electronic records of the Screening Mammogram Unit at Al- Remal Clinic for controls. The information about the participants was gathered using a standardized questionnaire. The key variables related to BC were identified using multivariate logistic regression. RESULTS: According to multivariate logistic regression, participants' age was associated with an increase in the risk of BC (OR= 1.03; 95%CI, 1.007-1.060). There was an association between serum concentrations of fasting blood glucose (FBG) (OR= 1.027; 95% CI, 1.013-1.042), IGF-1 (OR= 1.010; 95% CI, 1.006-1.015), and the risk of BC, while there was no link between IGFBP-3 and the risk of BC. In an analysis of the risk according to menopausal status, premenopausal women were associated with an approximate 0.5 time decrease in risk of BC compared to women in post-menopause (OR= 0.428, 95% CI, 0.258, 0.710). Dairy product was also related to a decreased risk of BC. CONCLUSION: The results suggest that age, lower physical activity, increased levels of FBG, and IGF- 1 increase the BC risk among females in the Gaza Strip. Meanwhile, premenopausal women and dairy products are linked to a reduction in the risk of BC. Furthermore, no link was found between IGFBP-3 and BC risk. Improving early BC detection rates in the Gaza Strip necessitates preventative interventions and screening for BC in the public and healthcare sectors.

Significantly High HbA1c in Diabetic Patient with Hb J: Case Report.

Glycated hemoglobin (HbA1c) is used to monitor the long-term management of diabetes and reflects the average blood glucose level over the past three months. Hb J is an alpha-globin gene variant that occurs less commonly but can interfere with the HbA1c result. This case report presents two cases of abnormally high HbA1c in patients with Hb J using the high-performance liquid chromatography (HPLC) method and repeated value using the capillary electrophoresis (CE) method. The first case was a 26 years old female Malay patient, presenting at 25 weeks gestation with diabetes mellitus (DM). Her HbA1c results from HPLC showed persistently high level (> 18.5%, > 179 mmol/mol) despite optimum diabetic control (fasting blood sugar (FBS) range 4.0-6.1 mmol/L). The second case was a 62-year-old female Malay with type 2 DM. Her HbA1c results from HPLC was also persistently high (> 18.5%, > 1;79 mmol/mol) despite good diabetic control (FBS average 5.0-7.0 mmol/L). Both patients' hemoglobin analysis reports were suggestive of Hb J. Repeated HbA1c using CE were 6.0% (42 mmol/mol) and 8.1% (65 mmol/mol), respectively, and supported the presence of the Hb J variant peak. HbA1c measurement in patients with a variant should be interpreted with caution to avoid misdiagnosis and mismanagement in these kinds of patients.

Breast Cancer Risk From Modifiable and Non-Modifiable Risk Factors among Palestinian Women: A Systematic Review and Meta-Analysis.

OBJECTIVE: Breast cancer (BC) is known as one of the deadliest forms of cancer, and it is increasing globally. Identifying risk factors for BC is a key point in developing preventive strategies to reduce its occurrence. Herein, we aimed to conduct a systematic review and meta-analysis focus on the risk factors for BC in Palestine. MATERIAL AND METHODS: We performed a systematic search via PubMed, MEDLINE, SCOPUS, Science Direct, Cochrane library, Emerald Insight, and Google scholar for identifying studies published on BC risk factors up to March 2021. Pooled odds ratios (OR) are calculated using fixed and random-effect models. Data were processed using Review Manager 5.4 (RevMan 5.4). RESULTS: From a total of 73 articles, seven case-control studies met the criteria for systematic review. Meta-analysis results showed that of the known modifiable risk factors for BC, diabetes mellitus (DM) had the highest odds ratio (OR = 4.97, 95% CI 3.00- 8.25) followed by hypertension (OR = 3.21, 95% CI 1.96-5.23), obesity (BMI >30 Kg/m2) (OR = 2.90, 95% CI 2.00- 4.21), and passive smoking (OR = 1.50, 95% CI 1.12- 2.02). Controversially, breastfeeding (OR = 0.37, 95% CI 0.23- 0.61) was protective factor in BC. Of non-modifiable risk factors for BC has reached menopause had the highest odds ratio (OR = 3.74, 95% CI 2.64- 5.29), followed by family history of BC (OR = 2.63, 95% CI 1.07-6.44) and age (≥ 40 years) (OR = 2.49, 95% CI 1.43-4.34). CONCLUSIONS: The most significant predictors of BC in Palestine were DM, hypertension, passive smokers, age (>40), reached menopause, and family history of BC. Almost all these risk factors are consistent with known risk factors for breast cancer in other parts of the world.
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Global Prevalence of Macroprolactinemia among Patients with Hyperprolactinemia: A Systematic Review and Meta-Analysis.

Hyperprolactinemia (hPRL) often poses a diagnostic dilemma due to the presence of macroprolactin. Understanding the prevalence of macroprolactinemia (mPRL) has an important implication in managing patients with hPRL. The primary aim of this study was to determine the prevalence of mPRL globally and to explore selected factors influencing the prevalence estimate. Studies with original data related to the prevalence of mPRL among patients with hPRL from inception to March 2020 were identified, and a random effects meta-analysis was performed. Of the 3770 records identified, 67 eligible studies from 27 countries were included. The overall global prevalence estimate was 18.9% (95% CI: 15.8%, 22.1%) with a substantial statistical heterogeneity (I2 = 95.7%). The highest random effects pooled prevalence was observed in the African region (30.3%), followed by Region of the Americas (29.1%), European (17.5%), Eastern Mediterranean (13.9%), South-East Asian (12.7%), and Western Pacific Region (12.6%). Lower prevalence was observed in studies involving both sexes as compared to studies involving only female participants (17.1% vs. 25.4%) and in more recent studies (16.4%, 20.4%, and 26.5% in studies conducted after 2009, between 2000 and 2009, and before 2000, respectively). The prevalence estimate does not vary according to the age group of study participants, sample size, and types of polyethylene glycol (PEG) used for detection of macroprolactin (PEG 6000 or PEG 8000). With macroprolactin causing nearly one-fifth of hPRL cases, screening for mPRL should be made a routine before an investigation of other causes of hPRL.