Abstract
Background:
There is no established antenatal intervention that reduces the risk of preeclampsia and preterm delivery in gestational diabetes mellitus (GDM) mothers and hyperbilirubinemia, hypoglycemia, and hospitalization in their newborns. Henceforth, this study aims to study how these risks change on prenatal vitamin D supplementation.
Methods:
Randomized parallel arm trials comparing these interventions’ effect on the above outcomes were searched in the PubMed, Embase, and Scopus, irrespective date, and language of publication. Each eligible trial’s risk of bias was assessed using the Cochrane collaboration tool. Using random-effects meta-analysis, the risk of the outcomes was compared.
Results:
Six eligible Iran-based trials of about 476 participants were included in this review. Four trials complemented vitamin D along with other nutrients. Overall, the risk of bias was low in these trials. The newborns of antenatal vitamin D recipients have a reduced risk of hyperbilirubinemia (relative risk [RR] = 0.46; 95% confidence interval [CI]: 0.33, 0.64; I2 = 0%) and hospitalization (RR = 0.46; 95% CI: 0.32, 0.65; I2 = 0%) than those who did not receive the supplement. The rest of the outcomes did not vary between the compared interventions. The results remained unchanged on using a fixed-effect meta-analysis, repeating the meta-analysis while eliminating a trial each time, and on imputation analysis. An auxiliary meta-analysis comparing the intervention with placebo also suggested a decreased risk of hyperbilirubinemia (RR = 0.43; 95% CI: 0.30, 0.62; I2 = 0%) and hospitalization (RR = 0.44; 95% CI: 0.30, 0.62; I2 = 0%).
Conclusion:
Newborns of GDM mothers who received vitamin D as a sole or co-supplement antenatally have a decreased risk of hyperbilirubinemia and hospitalization.
Keywords: Diabetes, gestational, hospitalization, hypoglycemia, jaundice, neonatal, Vitamin D
Introduction
Gestational diabetes mellitus (GDM) is the carbohydrate intolerance that develops during pregnancy.[1] During the 24–28 weeks of gestation, pregnant women with no previous diabetes history are screened for GDM.[2] GDM management begins with self-monitoring of blood glucose and lifestyle modification (e.g., dietary changes and physical activity).[3,4] When it fails to achieve glycemic control, pharmacotherapy with insulin is initiated.[3] A complicated GDM can affect both the mother and fetus adversely.[5] Jaundice and hypoglycemia are two important neonatal complications that occur in newborns of GDM mothers.[5]
Bilirubin deposition led yellowish discoloration of skin and sclera of newborn babies is referred to as neonatal jaundice.[6] It can be pathological and physiologic when it occurs during the first 24 h of life and between 2 and 4 days following birth, respectively.[7] Newborn hyperbilirubinemia is further classified as unconjugated and conjugated hyperbilirubinemia. Unconjugated hyperbilirubinemia may be pathologic or physiologic.[7] Whereas, conjugated hyperbilirubinemia, which occurs in hepatobiliary ailments like biliary atresia and choledochal cyst, is always pathologic.[7] Neonatal hyperbilirubinemia is a common complication of GDM pregnancies and is more common than pregnancies with no glucose intolerance.[8] The hyperinsulinemic environment inside the uterus of GDM mothers perhaps leads to hyperbilirubinemia in their newborns.[8] Although neonatal jaundice is a mild and transient phenomenon in most infants, its prevention is essential because bilirubin, if accumulated at very high-levels, can cross the blood-brain barrier and lead to bilirubin-induced neurologic dysfunction and acute bilirubin encephalopathy.[7,9] Acute bilirubin encephalopathy might manifest with abnormal behavior, lethargy, opisthotonos, and seizures.[7,9] It may worsen further to develop kernicterus, a permanent neurologic sequela which is characterized by features like cerebral palsy, seizures, and sensorineural hearing loss.[7,9]
Next, hypoglycemia is another potential complication that occurs to the newborns of the GDM mothers. Due to the high blood glucose levels, the glucose from the GDM mother crosses the placenta and stimulates excessive fetal insulin production.[10,11] At birth, when the umbilical cord is clamped, the augmented insulin secretion in the fetus continues, which increases the risk of hypoglycemia in the newborn.[10,11] Moreover, the infants of diabetic mothers low catecholamine levels due to the relative adrenal insufficiency and their poor ability to mobilize the glycogen stores puts them at an additional risk of hypoglycemia.[12] Since blood glucose is essential for brain cell functioning,[10] preventing hypoglycemia, or reducing its duration is vital to avoid adverse neurological consequences.[11]
If newborns develop hyperbilirubinemia or hypoglycemia, treatment is given to prevent their complications. Phototherapy and exchange transfusion (gold standard) is used to prevent the complications of unconjugated hyperbilirubinemia.[6] On the other hand, hypoglycemia management depends on blood glucose levels and symptoms. For instance, intravenous glucose is infused in all symptomatic newborns with blood glucose levels <40 mg/dL, as per recommendations of the American Academy of Pediatrics.[13] Whereas, asymptomatic term formula-fed newborns who are at risk of hypoglycemia would require more frequent feeding and at a blood glucose level <25 mg/dL (from birth to first 4 h of life) or <35 mg/dL (four to 24 h of life) would need parenteral glucose.[14] Dextrose, diazoxide, glucagon, glucocorticoids, and dexamethasone are other therapeutic agents used to treat neonatal hypoglycemia.[11] While these are the therapeutic options for hyperbilirubinemia and hypoglycemia in neonates, little research has been done to prevent their occurrences in the newborns of GDM mothers.
In this regard, antenatal vitamin D supplementation’s role in GDM is a novel research area since evidence points towards a possible link between vitamin D deficiency and GDM.[15-19] Contemporary clinical trials have explored the plausible role of antenatal vitamin D supplementation on neonatal outcomes.[20,21] However, best known to us, there is no systematic reviewing effort to synthesize the overall evidence on how antenatal vitamin D supplementation in GDM patients may help in determining the risk of the above outcomes in their neonates. Therefore, in this paper, we review this under-reviewed area of perinatal medicine.
The intervention
Vitamin D (calciferol) is a fat-soluble vitamin and is available in two inactive forms – D2 (ergocalciferol) and D3 (cholecalciferol).[22] Both forms are commercially available in dietary supplements and fortified foods.[22] After undergoing hydroxylation in the human body, they are converted into calcitriol, the biologically active form.[22] Vitamin D through its receptors in the uterus and placenta plays a role in the physiology of pregnancy.[23] Vitamin D has been used in clinical trials on GDM patients. There is some evidence that vitamin D supplementation in GDM patients during the antenatal period helps in achieving better glycemic control.[24,25] While some trials used it as a sole supplement,[26-28] others have used it with other supplements such as magnesium, calcium, or zinc.[29,30] Various clinical trials administered it in various dosages orally. Two trials advised participants to take vitamin D orally at 50,000 IU,[27,30] 2–3 weeks apart for 3–8 weeks; whereas, other trials recommended at a dose of 200–500 IU 2 times a day for 6–16 weeks.[26,29] One trial administered it in GDM patients as a 300,000 IU single dose intramuscular injection.[28]
This study aims to compare the risk of hyperbilirubinemia and hypoglycemia between the antenatal vitamin D supplemented and non-supplemented GDM patients’ newborns. The additional objective of this study was to explore the incidence of preeclampsia and preterm delivery in these GDM mothers and hospitalization of their newborns.
Methods
Eligibility criteria
Participants
Pregnant females of any age, diagnosed with GDM in their concurrent pregnancy. The diagnosis and treatment of GDM were accepted as per the trialists.
Intervention
The intervention group should have received vitamin D supplementation as a sole supplement or in combination with another supplement/s in any dose, by any route (e.g., oral and parenteral), and for any duration during their current pregnancy, whereas the comparator group may receive any supplement/s except vitamin D or placebo or no intervention.
Study design
Thi study was a randomized parallel arm (any number of arms) trial of any duration.
Outcome
All trials should have reported the incidence of hyperbilirubinemia and (or) hypoglycemia (primary outcome) in the newborns of the above described GDM patients. Hyperbilirubinemia should have been diagnosed when the neonate required phototherapy, or the total serum bilirubin level was at or above 15 mg/dl, 18 mg/dl, or 20 mg/dl at 25–48 h, 49–72 h and more than 72 h after birth, respectively.[31] Since there is no consensus on the diagnostic criteria of hypoglycemia in newborns,[13] it was accepted as per the trialists definition. Preterm birth, preeclampsia, and newborn hospitalization were the secondary outcomes; however, they did not make up the inclusion criteria. The secondary outcomes were accepted as per the trialists’ definition irrespective of the reason for hospitalization.
Exclusion criteria
1. Diabetes, except GDM subtype (such as type 1 or type 2 diabetes) and 2. Study design other than randomized controlled trials like observational study design or cross-over trials were excluded from the study.
This review does not have a pre-published protocol. It adheres to PRISMA[32] reporting guideline.
Search strategy
Different electronic databases (PubMed, Scopus, and Embase) were searched for the prospective trials that matched the above-mentioned eligibility criteria, irrespective of their date or language of publication. In addition, the references of the trials included in this review were searched. Title and abstract of the trials were searched using the following search terms – “vitamin D” OR vitamin-D OR calciferol OR “vitamin D2” OR ergocalciferol OR “vitamin D3” OR cholecalciferol AND “gestational diabetes” OR GDM AND “randomized controlled trial” OR “clinical trial.” The following filters were used to narrow down the search results (when available) – “Clinical Trial” and “controlled clinical trial” OR “randomized controlled trial.” The last date of PubMed database search was 25-March-2020. SS[1] performed this database search.
Trial selection and data abstraction
We scanned through the title and abstract of the papers retrieved from the database search to select the eligible trials. Papers seeming to match this review’s recruitment criteria or where a decision of inclusion or exclusion was not feasible by reading the excerpts of the publications only; a full-text reading followed. The data of the study design details, population characteristics, interventions compared, and outcomes of interest were retrieved from the respective trials. We selected eligible trials for this review and extracted data from these independently to each other and resolved any disagreement by discourse.
Risk of bias assessment
Next, utilizing the Cochrane collaboration tool, the risk of selection bias, performance bias, detection bias, attrition bias, reporting bias, and miscellaneous bias was assessed for each trial. Based on the random sequence generation method, together with its allocation concealment from the trial participants, the selection bias of the trials was assessed. The performance and detection bias was assessed by the appropriateness of the blinding method used for study personnel and participants and outcome assessors, respectively. Attrition bias was assessed by the balance and reasons for participants with missing outcome data between different intervention arms. By contrasting the prespecified intentions to the results reported in the publication, the reporting bias of the trials was judged. The bias not fitting any of the above types were labeled as miscellaneous bias.
The risk of bias for each of these components was categorized as high risk, low risk, or unclear risk.[33]
A third-party opinion was not required to resolve disagreements between the authors. The trialists of the reviewed trials were not contacted.
Data synthesis and analysis
Next, for respective outcomes, using a random-effect model meta-analysis (DerSimonian and Laird method), the effect (in risk ratios) of the compared interventions was compared. Besides, the predictive intervals were calculated. For the meta-analysis, the number of newborns with a particular outcome was combined when they occurred in different treatment arms receiving the same type of intervention. For instance, if a trial had more than one treatment arm that received vitamin D containing supplements, the outcomes across such treatment groups were collated. When an outcome did not happen to either of the compared intervention groups, it was excluded from the meta-analysis. When the outcome occurred in any one of the contrasted treatment groups, 0.5 was added to each cell of the 2 × 2 table (continuity correction).
Statistical inconsistency assessment included I2 statistics (0–40%, 30–60%, 50–90%, and 75–100% were categorized as less, moderate, substantial, and considerable heterogeneity, respectively) in conjunction with a P-value of Cochrane’s Q (statistical significance determined at P < 0.1).[33] Visual inspection of funnel plots and contour-enhanced funnel plots was used to evaluate publication bias. Finally, for the individual outcomes, the sensitivity analyses were conducted by iterating the meta-analysis using a fixed-effect model (inverse variance method) and also by eliminating a trial each time.
Imputation case analysis (ICA)
Given the importance of missing outcome data in antenatal vitamin D supplemented GDM patients, we included an ICA for newborn hyperbilirubinemia to assess missing outcome data’s impact on it.[34,35] For newborn hyperbilirubinemia, ICA was performed to assess missing outcome data’s impact on it. As a part of ICA, we performed a complete cases analysis as our reference and compared its results with the following assumptions: ICA-0 (missing participants not affected), ICA-1 (missing participants affected), ICA-b (worst case scenario, missing participants in treatment arm suffers the outcome), ICA-w (best case scenario, missing participants in control arm suffers the outcome), and Gamble and Hollis analysis[36] (using the results of ICA-b and ICA-w it inflates the uncertainty of the trials).[37] Since the outcomes in this study are adverse events, the ICA-b and ICA-w assumptions hold opposite to its traditional ones; that is, instead of the best-case, the ICA-b represented worst-case scenario, and instead of the worst-case, the ICA-w represented the best-case scenario.
Supplementary analysis
We included a supplementary meta-analysis to compare how the risk of each of the outcomes tested in this paper varies between vitamin D (as a sole or with other nutrients) and placebo recipients.
The statistical significance of the meta-analysis findings was estimated at a P < 0.05 and 95% confidence interval (CI). All analyses used Stata statistical software (StataCorp, College Station, Texas, USA).
Results
Selected articles
The database search produced 183 results. After excluding the duplicates, 112 titles and abstracts were scanned, and 17 papers required full-text reading. Finally, this systematic review and meta-analysis incorporated six trials [Figure 1],[20,21,38-41] conducted in Iran, on nearly 476 GDM patients.
Figure 1.

PRISMA 2009 flow diagram. (From: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med 6(7): e1000097. doi:10.1371/journal.pmed1000097)
Description of studies
These trials were single centered[20,21,38-42] (except that by Karamali, 2016),[20] published between 2015 and 2019. The mean age of the participants of the trials was between 28 and 32 years.[20,21,38-41] In two trials, vitamin D was the sole supplement received by the intervention group.[39,41] In the remaining trials,[20,21,38,40] besides vitamin D, the intervention arm participants received other supplements (e.g., probiotics, magnesium, calcium, and omega-3 fatty acids). While the comparator group of most trials received placebo and (or) non-vitamin D based supplements (omega-3 fatty acids), this group did not receive any intervention, in one trial.[39] Regarding the outcomes, all trials[20,21,38-41] reported newborn hyperbilirubinemia, preeclampsia, and preterm delivery. Two trials did not report the hypoglycemia[40] and hospitalization[39] of the newborns, respectively [Table 1]. Two different trials (Jamilian, 2019a,[21] Jamilian, 2019b)[40] had identical first author’s last name and the year of publication; henceforth, a letter was suffixed to distinguish them in the tables and figures.
Table 1.
Salient features of reviewed papers

Risk of bias assessment
Overall, the trials are at low risk of bias [Table 2; Figures 2 and 3].[20,21,38-41] Across these trials, how the intervention allocation was concealed from the participants remains unclear.[20,21,38-41] Since hypoglycemia and hyperbilirubinemia of neonates are unlikely to be affected by the subjectivity of the researchers and the participants, their lack of blinding, as seen in the study by Valizadeh et al. (2016) would not have increased the risk of performance bias.[39]
Table 2.
Risk of bias assessment[33]
Figure 2.

Risk of bias graph: Review authors’ judgments about each risk of bias item presented as percentages across all included studies
Figure 3.

Risk of bias summary: Review authors’ judgments about each risk of bias item for each included study
Meta-analysis findings
The summary of outcome data is presented in along with the forest plots [Figures 4-8]. Meta-analysis using random-effect model shows that the supplementation of antenatal vitamin D (alone or as a co-supplement) in the GDM mothers decreased the risk of hyperbilirubinemia (relative risk [RR] = 0.46; 95% CI: 0.33, 0.64; P < 0.001; I2 = 0%; P-value of Cochrane’s Q P = 0.902) and hospitalization (RR = 0.46; 95% CI: 0.32, 0.65; P < 0.001; I2 = 0%; P-value of Cochrane’s Q P = 0.821) in their newborns compared no such supplementation [Figures 4 and 5]. The predictive intervals for jaundice (0.28–0.73) and hospitalization (0.26–0.81) in the neonates suggested that these findings are unlikely to be changed in a future trial. For the remaining outcomes, the incidence did not vary between the compared interventions [Figures 6-8]. The funnel plots and contour-enhanced funnel plots did not suggest any publication bias due to any small study effect [Figure 9]. The summary estimates and heterogeneity for all of the outcomes did not change on iterating the meta-analysis using a fixed-effect model [Figures 4-8] or on omitting one study each time [Table 3].
Figure 4.

Outcome: Newborn hyperbilirubinemia. Forest plot showing findings of random effect (with estimated predictive interval) and fixed-effect model meta-analysis
Figure 5.

Outcome: Newborn hospitalization. Forest plot showing findings of random effect (with estimated predictive interval) and fixed-effect model meta-analysis
Figure 6.

Outcome: Newborn hypoglycemia. Forest plot showing findings of random effect (with estimated predictive interval) and fixed-effect model meta-analysis
Figure 7.

Outcome: Preeclampsia. Forest plot showing findings of random effect (with estimated predictive interval) and fixed-effect model meta-analysis
Figure 8.

Outcome: Preterm delivery. Forest plot showing findings of random effect (with estimated predictive interval) and fixed-effect model meta-analysis
Figure 9.

Funnel plots and contour-enhanced funnel plots evaluating publication bias for the meta-analytic comparison of perinatal outcomes between vitamin D supplemented and not supplemented gestational diabetes mellitus mothers
Table 3.
Sensitivity analysis (by dropping one trial for every meta-analysis) of outcomes in prenatal vitamin D supplemented versus non-supplemented gestational diabetes mellitus mothers and their neonates

ICA
Three[21,39,41] of the six trials had missing outcome data. Across all six-imputation analyses, the prenatal vitamin D supplementation decreased the risk of hyperbilirubinemia in their neonates compared to the newborns of no vitamin D supplementation receiving GDM mothers, suggesting robustness to our preliminary meta-analysis [Figure 10].
Figure 10.

Outcome: Hyperbilirubinemia. Summary risk ratios estimated by different imputation case analysis assumptions. The left- and right-hand side of the treatment scale favors intervention and control, respectively. (ACA: Available case analyses; ICA-0: Imputation case analysis-no event; ICA-1: Imputation case analysis-event; ICA-b: Imputation case analysis-best case scenario; ICA-w: Imputation case analysis-worst case scenario)
Supplementary analysis
These analyses replicated the results of the primary analysis. The intervention decreased the risk of hyperbilirubinemia (RR = 0.43; 95% CI: 0.30, 0.62; P < 0.001; I2 = 0%; P-value of Cochrane’s Q P = 0.690) and hospitalization (RR = 0.44; 95% CI: 0.30, 0.62; P < 0.001; I2 = 0%; P-value of Cochrane’s Q P = 0.732). These results were identical in both the random-effect and fixed-effect model [Table 4].
Table 4.
Meta-analysis results: Prenatal vitamin D supplementation compared with placebo in gestational diabetes mellitus mothers and their neonates

Discussion
To summarize, six trials[20,21,38-41] published between 2015 and 2019 and based on about 476 GDM patients from Iran, were reviewed. Altogether, the trials have a low risk of bias.[20,21,38-41] Most trials used vitamin D as a co-supplement. Prenatal complementation of vitamin D with or without other supplements in GDM patients reduced the risk of jaundice and hospitalization in their newborns compared to neonates of GDM mothers receiving no intervention or no vitamin D containing supplement or placebo.
The evidence quality of the statistically significant meta-analytic findings was assessed by the GRADE approach (GRADE Working Group [2004]).[43] Since the trial participants originated from the population of one nation (Iran), the results may not be externally valid; therefore, we downgraded it by one level and graded the evidence as moderate-quality evidence.[20,21,32,38-41,43]
Next, we compare our results with other systematic reviews and meta-analysis. First, we contrast the neonatal outcomes. A systematic review and meta-analysis[44] comparing vitamin D supplementation with placebo in GDM patients did not find any difference between the compared intervention groups for newborn hypoglycemia and found a decreased risk of hyperbilirubinemia in the vitamin D supplemented group. Although these results are identical to ours, it is important to note that the said meta-analysis[44] was based on two trials[27,41] only, of which we found one[41] to be legitimate. For the other trial,[27] the reporting in the meta-analysis (as depicted in its forest plot)[44] was perhaps not accurate since the trial[27] did not report these neonatal outcomes.
Then, both in the primary and the supplementary analysis, we found no difference in the incidence of preterm delivery and preeclampsia, which resembled that of another systematic review and meta-analysis comparing the effect of antenatal vitamin D supplementation with placebo.[45] The study participants’ recruitment criteria of the latter, however, varied from this study based on the participants’ age (included 18 years or older pregnant females),[45] GDM diagnostic criteria (American Diabetes Association’s criteria),[45-47] gestational age of GDM diagnosis (24–28 weeks of gestation),[45] and the GDM therapy received (recruited participants who did not require insulin therapy during their intervention period).[45]
Next, it is worth discussing here if accepting the GDM treatment as per the trialists introduced any bias in our findings. In this regard, we reviewed the GDM management used in the respective trials. Interestingly, in all trials, except one (by Valizadeh et al. (2016)),[39] the trial participants had a relatively well-controlled GDM since they did not need insulin therapy throughout their pregnancies.[20,21,38,40,41] However, the inclusion of one trial requiring insulin to manage GDM plausibly did not affect the meta-analysis findings since the results did not change on sensitivity analyses that excluded the trial [Table 4].[39]
Likewise, it may be debated if the observed results of this study are due to supplementation of vitamin D or its co-supplements, as the majority of the trials (66%) used vitamin D with another nutrient.[20,21,38,40] We addressed it here, narratively. The co-supplement use in the reviewed trials was inconsistent. For instance, calcium was used in two trials,[20,40] and each of the remaining co-supplements, probiotics,[21] magnesium,[40] zinc,[40] and omega-3 fatty acids,[38] was used in one of these trials only. Whereas, vitamin D was the only supplement used by all trials consistently; henceforth, the vitamin D plausibly has a major role in the results of this study. Furthermore, the total dosage of vitamin D used in most of the reviewed trials was relatively the same, between 100,000 and 150,000 IU.[20,21,38,41]
Next, we state the implications and strengths of this study. Healthcare providers such as obstetricians, neonatologists, and pediatricians may find it useful to expand their existing knowledge in the context. As all of the trials were Iran-based, from an Iranian perspective, it may aid in informing public health policy to decrease the burden of hyperbilirubinemia and hospitalization in neonates of GDM mothers. Besides, to test generalizability, our findings may encourage researchers across the globe to conduct trials similar to those reviewed here.
Regarding the strengths of this paper, this is perhaps one of the preliminary papers that systematically reviewed the context. An existing systematic review protocol aims to explore various maternal health effects of prenatal vitamin D supplementation; however, unlike this review, its objectives do not include the study of neonatal outcomes.[48] Then, our study’s findings are likely to be strong as they are based on the highest level of epidemiological evidence, that is, randomized controlled studies. In addition, this review is likely to be more comprehensive as its database search was not limited to any language or date. Furthermore, the statistically significant chief meta-analytic findings are likely to be robust due to the absence of statistical heterogeneity, duplication of results on sensitivity analysis, and identical summary estimates in different imputation assumptions.
Despite these merits, this study has few limitations. Since some trials used vitamin D with co-supplements, we could not definitively distinguish if the latter might have played any role in this study’s findings. Besides, the generalizability of our study remains uncertain, as all trials were conducted in Iran.
Conclusion
Antenatal vitamin D supplementation in GDM patients, alone or as a co-supplement, decreases the risk of hyperbilirubinemia and hospitalization in their newborns compared to neonates of GDM patients who did not receive vitamin D as a supplement or received no intervention or received placebo only. Since all the trials were Iran-based, similar trials from other nations are required to evaluate the external validity of this research.
Authors’ Declaration Statements
Ethics approval and consent to participate
Not applicable, as no human subjects were involved in this study.
Availability of Data and Material
Data related to this paper will be made available by the corresponding author upon receiving legitimate requests.
Competing Interests
On behalf of both the authors, the corresponding author states that there are no conflicts of interest.
Funding Statement
No funding was available for this study in any form.
Authors’ Contributions
SS[1] conceptualized and designed this study, performed database search, study selection, data abstraction, risk of bias assessment, analysis, and first and final draft of this manuscript. SS[2] contributed to the study selection, data abstraction, risk of bias assessment, and hard editing of the first draft.
Acknowledgment
This work was done by the authors independently, and it is not related to their affiliated institutes. The affiliation of SS[1] was current at the time of submission of this manuscript to the journal. At present, SS[1] does not have an affiliation.
ORCID link of the submitting author: https://orcid.org/0000-0003-0996-8846.
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Data Availability Statement
Data related to this paper will be made available by the corresponding author upon receiving legitimate requests.

