| Literature DB >> 31653607 |
Bo Li1, Miaowei Wang2, Lingyun Zhou3, Qiao Wen1, Jian Zou4.
Abstract
INTRODUCTION: Chronic rhinosinusitis is a highly heterogeneous chronic inflammation of the upper respiratory tract caused by immune dysfunction in human beings. However, the underlying etiology of this disease has not yet been well established. Several trials have revealed that serum vitamin D level abnormality might play a role in the pathophysiology of chronic rhinosinusitis.Entities:
Keywords: 25-Hydroxyvitamin D; Meta-analysis; Nasal polyp; Sinusitis; Vitamin D
Mesh:
Substances:
Year: 2019 PMID: 31653607 PMCID: PMC9422378 DOI: 10.1016/j.bjorl.2019.08.007
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Figure 1Flow diagram of the study selection process.
Characteristics of all included studies.
| Author | Year | Country | Type of study | Nº of participants | Vitamin D level (Mean ± SD) (ng/mL) | Cutoff value | Baseline characteristics between the groups | NOS score |
|---|---|---|---|---|---|---|---|---|
| Mulligan | 2011 | USA | Retrospective | CRS: 29 | CRS: 36.62 ± 12.99 | <20 ng/mL | No significant differences in gender, race, BMI. | 7 |
| Mulligan | 2012 | USA | Retrospective | CRS: 22 | CRS: 30.07 ± 6.96 | <20 ng/mL | NG | 6 |
| Mulligan | 2014 | USA | Retrospective | CRS: 85 | CRS: 29.31 ± 15.91 | <32 ng/mL | NG | 6 |
| Carroll | 2016 | USA | Retrospective | CRS: 13 | CRS: 34.5 ± 21.1 | <20 ng/mL | The average age was 52 years for control patients and 50 years for CRSwNP patients. 25% of control patients were male and 47% of CRSwNP patients were male. | 6 |
| Erdag | 2016 | Turkey | Prospective | CRS: 46 | CRS: 13.38 ± 14.08 | <20 ng/mL | No significant differences in age, gender. | 7 |
| Mostafa | 2016 | Egypt | Prospective | CRS: 30 | CRS: 38.6 ± 28.2 | NG | No significant differences in age, gender. | 7 |
| Shanaki | 2017 | Iran | Prospective | CRS: 45 | CRS: 16.62 ± 5.16 | <20 ng/mL | NG | 6 |
| Wang | 2018 | China | Retrospective | CRS: 67 | CRS: 42.2 ± 11.49 | <20 ng/mL | No significant differences in age, gender, BMI, smoke history, atopic status and asthma | 7 |
95% CI, 95% confidence intervals; WMD, weighted mean difference; CRS, chronic rhinosinusitis; CRSwNP, chronic rhinosinusitis with nasal polyps; CRSsNP, chronic rhinosinusitis without nasal polyps; NOS, Newcastle-Ottawa quality assessment scale; NG, not given.
Figure 2Forest plot of the association between serum vitamin D and participants.
A summary of WMD for the overall and 95% CIs of vitamin D and CRS.
| Subgroup | Nº of studies | Nº of patients | Nº of controls | WMD (95% CI) | Heterogeneity I2 (%) | |
|---|---|---|---|---|---|---|
| Overall | 8 | 337 | 179 | −7.80 (−13.28 to −2.31) | 0.000 | 84.4 |
| Phenotype | ||||||
| CRSwNP | 8 | 220 | 179 | −15.21 (−26.16 to −4.25) | 0.000 | 97.1 |
| CRSsNP | 5 | 117 | 89 | −4.04 (−6.38 to −1.69) | 0.226 | 29.3 |
| Biomarker | ||||||
| 25(OH)D3 | 6 | 246 | 95 | −9.77 (−15.81 to −3.73) | 0.001 | 75.5 |
| 25(OH)D | 2 | 91 | 84 | −3.33 (−15.36 to 8.69) | 0.000 | 93.0 |
| Geographic area | ||||||
| USA | 4 | 149 | 55 | −6.67 (−14.00 to 0.65) | 0.002 | 79.5 |
| Non-USA | 4 | 188 | 124 | −9.61 (−19.17 to −0.05) | 0.000 | 89.0 |
| Study design | ||||||
| Retrospective | 5 | 216 | 76 | −8.01 (−13.88 to −2.13) | 0.005 | 73.5 |
| Prospective | 3 | 121 | 103 | −9.10 (−21.25 to 3.05) | 0.000 | 91.8 |
95% CI, 95% confidence intervals; WMD, weighted mean difference; CRSwNP, chronic rhinosinusitis with nasal polyps; CRSsNP, chronic rhinosinusitis without nasal polyps; 25(OH)D, 25-Hydroxyvitamin D.
Most of the included studies compared both the CRSwNP and CRSsNP with controls, leading to the number of controls were repeatedly counted.
Figure 3Forest plot of the association between serum vitamin D and CRS stratified by phenotypes of CRS.
Figure 4Forest plot of the association between serum vitamin D and CRS stratified by geographic difference.
Figure 5Forest plot of the association between serum vitamin D and CRS stratified by type of biomarker.
Figure 6Forest plot of the association between serum vitamin D and CRS stratified by study design.
Figure 7Funnel plot of meta-analysis of CRS vs. control studies.
Figure 8Sensitivity analysis on the relationship between serum vitamin D and CRS.
Figure 9Egger’s test for publication bias.