Submitted:
10 November 2023
Posted:
16 November 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Search strategy
2.2. Eligibility of Relevant Studies
2.3. Data Collection and Risk of Bias Assessment
2.4. Data synthesis and analysis
3. Results
3.1. Vitamin D serum levels & NMSC
3.2. Vitamin D dietary and/or supplemental intake
3.3. VDR polymorphisms and NMSC
3.4. Methodological quality of included studies
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Author, Year | Databases searched | Total Studies | Included RCTs | Outcomes measured | NMSC cases/ Total | Risk of Bias |
|---|---|---|---|---|---|---|
| Abdelwahab, 2022 | Pubmed, Google Scholar, Cochrane Library, Science Direct | 10 | 1 | Vit D serum levels & NMSC | 28763/152.488 | >70% on each quality assessment tool |
| Sutedja, 2022 | Pubmed, Scopus, Science Direct | 4 | 3 | Vit D supplementation anti-cancer effects on NMSC | 955/3003 | NR |
| Caini, 2021 | Pubmed, EMBASE | 24 | 2 | Vit D serum levels & NMSC | 3899/61962 | Moderate for the observational studies and low for the RCTs |
| Vit D Linear dose-response & NMSC | 7771/273991 | |||||
| Vit D intake & NMSC | 27299/175792 | |||||
| VDR, VDPB polymorphisms & NMSC | 1318/10284 | |||||
| Mahamat-Saleh, 2020 | Pubmed | 11 | 0 | Vit D serum levels & NMSC | 7485/249108 | 6 studies with high risk and 5 with moderate risk of bias |
| Vit D intake & NMSC | 30981/228479 | |||||
| Giammanco, 2015 | Pubmed, ISI Web of Science, Medline, Scopus, Google Scholar | 3 | 0 | Vit D serum levels & NMSC | 1003/8387 | NR |
| Caini, 2014 | Pubmed, Ovid, Medline, EMBASE, ISI Web of Knowledge | 10 | 1 | Vit D serum levels & NMSC | 2317/21964 | NR |
| Vit D intake & NMSC | 7408/156559 | |||||
| Xu,2014 | Pubmed | 2 | 0 | Taql polymorphism | 332/525 | NR |
| Apal polymorphism | 332/525 | |||||
| Zhao, 2014 | Pubmed, ISI Web of Knowledge, Medline, EMBASE, Google Scholar | 3 | 0 | Fokl polymorphism | 918/1984 | NR |
| Taql polymorphism | 332/525 | |||||
| Apal polymorphism | 332/525 | |||||
| Denzer, 2011 | Pubmed | 2 | 0 | Bsml polymorphism | 563/1417 | NR |
| Cdx2 | 563/1417 | |||||
| Gandini, 2009 | Pubmed, ISI Web of Science, EMBASE | 5 | 0 | Vit D intake & NMSC | 4084/116953 | NR |
| Fokl polymorphism | 586/1459 | |||||
| Bsml polymorphism | 586/1459 |
| Author, Year | Total Studies/RCTs | Patients | Outcome | Pooled effect | Heterogeneity (I2) |
|---|---|---|---|---|---|
| Abdelwahab et. al,2022 | 10/1 | 152488 | Vit D serum levels & BCC formation | 4 studies support BCC association with low levels of Vit D and 4 studies support BCC association with high levels of Vit D | - |
| Caini et. al, 2021 | 10/0 | 3899 | Highest vs lowest Vit D concentration & NMSC | 1.67 RR [0.61-4.56] | 91% |
| 6/0 | Linear dose response | 3 studies reported a significant association between increasing Vit D concentration & NMSC, and a trend in the same direction emerged in 2 more. | |||
| Mahamat-Saleh et. al, 2020 | 8/0 | 249108 | Highest vs lowest Vit D concentration & NMSC | 1.64 RR [1.11-2.43] | 86% |
| NMSC risk per 30nmol/L Vit D increment | 1.30 RR [1.13-1.49] | 86% | |||
| Giammarco et. al, 2015 | 3/0 | 13859 | Vit D serum levels & NMSC formation | Positive relationship between plasma levels of Vit D and NMSC including SCC and BCC in 2 studies, while 1 study highlighted decreased risk of NMSC in older Caucasian men | - |
| Caini et. al, 2014 | 6/0 | 2317 | Highest vs lowest Vit D concentration & NMSC | 1.64 RR [1.02-2.65] | 81% |
| BCC |
1.82 RR [1.38-2.40] | 0% | |||
| SCC | 1.68 RR [0.44-6.39] | 81% |
| Author, Year | Total Studies/RCTs | Patients | Outcome | Pooled effect | Heterogeneity (I2) |
|---|---|---|---|---|---|
| Sutedja, 2022 | 4/3 | 3013 | Vit D oral administration & NMSC | Reduced incidence of NMSC in the oral Vit D groups | - |
| Caini, 2021 | 5/2 | 175792 | Highest vs lowest quantiles of Vit D intake/supplementation & NMSC | Only 1 study with significant association between highest intake quantile and increased risk for BCC (not for SCC) | - |
| Mahamat-Saleh, 2020 | 5/0 | 228479 | Vit D dietary intake + suppl. (100IU/day) & BCC/SCC | 1.02 RR [1.00-1.03] / 0.99 RR [0.97-1.01] | 77.7% / 0% |
| Highest vs lowest quantiles of Vit D dietary intake+suppl. & BCC/SCC | 1.10 RR [1.05-1.15] / 1.02 RR [0.89-1.17] | 0% / 0% | |||
| Vit D dietary intake (100IU/day) & BCC/SCC | 1.04 RR [1.02-1.06] / 1.02 RR [0.97-1.07] | 9.8% / 0% | |||
| Highest vs lowest quantiles of Vit D dietary intake & BCC/SCC | 1.13 RR [1.08-1.18] / 1.14 RR [0.95-1.36] | 0%/ 41.3% | |||
| Vit D suppl. (100IU/day) & BCC/SCC | 1.02 RR [1.00-1.03] / 0.98 RR [0.95-1.01] | 36.7% / 0% | |||
| Highest vs lowest quantiles of Vit D suppl. & BCC/SCC | 1.07 RR [1.03-1.12] / 0.95 RR [0.83-1.10] | 0% / 0% | |||
| Caini, 2014 | 4/1 | 7408 | Highest vs lowest quantiles of Vit D dietary intake & NMSC | 1.03 RR [0.95-1.13] | 0% |
| Gandini, 2009 | 3/0 | 4084 | Highest vs lowest quantiles of Vit D dietary intake & NMSC | No association | - |
| Author, Year | Total Studies/RCTs | Patients | Outcome | Pooled effect | Heterogeneity (I2) |
|---|---|---|---|---|---|
| Caini, 2021 | 5/0 | 2301 | VDR gene polymorphisms & NMSC | No associations for Apal, Bsml, Taql,Cdx2. Fokl TT (Hom) significantly increased BCC in one study by 10.14 OR | 0% (47% for Hom vs WT Bsml) |
| 7983 | VDBP polymorphisms & NMSC | One study for VDPB(rs7041,rs4588) with no association for BCC | - | ||
| Xu, 2014 | 2/0 | 525 | Taql& BCC | tt vs TT: 2.12 OR [1.21–3.71] Tt vs TT:2.14 OR [1.38–3.32] tt+Tt vs TT: 2.14 OR [1.43–3.22] tt+TT vs TT: 1.39 OR [0.84-2.31] t allele vs T allele 1.59 OR [1.20-2.11] |
26.4% 0% 16.0% 0% 49.4% |
| Apal& BCC | aa vs AA+Aa 0.59 OR [0.39,0.91] while all else were insignificant |
0% | |||
| Zhao, 2014 | 3/0 | 1984 | Fokl& NMSC | ff vs FF: 2.42 OR [1.03-5.68] | - |
| Taql& NMSC | Tt vs TT: 1.88 OR [1.29- 2.74] Tt vs TT: 2.00 OR [1.22-3.28] Tt+tt vs TT: 1.92 OR [1.35, 2.73] |
||||
| Apal& NMSC | Aa vs AA: 1.72 OR [1.51-2.57] aa vs AA: 1.15 OR [0.72-1.81] Aa+aa vs AA: 1.50 OR [1.03-2.17] |
||||
| Bsml& NMSC | No association | ||||
| Denzer, 2011 | 2/0 | 1417 | Bsml& NMSC | BB genotype: 1.51 OR BB genotype + high Vit D intake 2.38 OR in women |
- |
| Cdx2 & NMSC | No association | ||||
| Gandini, 2009 | 1/0 | 563 | Fokl& NMSC | Ff and ff vs wildtype 1.30 OR [1.03-1.63] | 0% |
| Bsml& NMSC | Bb vs wild type 1.05 OR [0.76-1.44] BB vs wild type 1.51 OR [1.00-2.28] |
- |
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