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. 2021 Oct 20;41:101168. doi: 10.1016/j.eclinm.2021.101168

Corrigendum to: Influence of 25‑hydroxy-cholecalciferol levels on SARS-CoV-2 infection and COVID-19 severity: A systematic review and meta-analysis [EClinicalMedicine 37 (2021) 100,967]

Andrea Crafa a, Rossella Cannarella a, Rosita A Condorelli a, Laura M Mongioì a, Federica Barbagallo a, Antonio Aversa b, Sandro La Vignera a, Aldo E Calogero a,
PMCID: PMC8527185  PMID: 34693235

We published a comprehensive systematic review and meta-analysis evaluating the current evidence on the impact of 25‑hydroxy-cholecalciferol [25(OH)D] and its deficiency, on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and the severity and mortality of the coronavirus 19 disease (COVID-19).

Recently, we were informed that two studies included in our meta-analysis and published on pre-print platforms were withdrawn (original article references 39, 55). For this reason, in the attempt to understand whether the inclusion of these pre-prints could have affected the results of our meta-analysis, we decided to make an additional analysis after excluding not only the two withdrawn pre-prints but also a third one originally included in the analysis (45).

Because of the exclusion of the 3 pre-prints (original article references 39, 45, 55), the flowchart of the included studies was modified (Fig. 1). Table 1, showing the characteristics of the included studies, and Table 2, concerning the quality analysis of the studies, were also updated after exclusion of the 3 pre-prints (original article references 39, 45, 55).

Fig. 1.

Fig 1

Flowchart of the studies included in the meta-analysis.

Table 1.

Main characteristics of the studies included in this meta-analysis.

First Author Year Country Study design Sample size Mean Age Gender Male/Female Ethnicity Outcome evaluated Time at 25(OH)D levels assessment
Abdollahi 2020 [27] Iran Case-control study 402 SARS-CoV-2 + 48.0 ± 16.5 SARS-CoV-2 + 66/135 NR Difference in mean 25(OH)D levels between COVID-19 positive and controls NR
SARS-CoV-2 - 46.34 ± 13.5 SARS-CoV-2 - 66/135
Abrishami 2020 Iran Retrospective study 73 SARS-CoV-2 + 55.2 ± 15.0 SARS-CoV-2 + 47/26 NR Difference in 25(OH)D levels between dead and discharged Generally performed within 3 days of hospital admission
SARS-CoV-2 - / SARS-CoV-2 - /
Arvinte 2020 USA Pilot study 21 SARS-CoV-2 + 60.2 ± 17.4 SARS-CoV-2 + 15/6 SARS-CoV-2 + Caucasian: 4 Hispanic: 17 Difference in 25(OH)D levels between patients who died or were discharged from the hospital Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - / SARS-CoV-2 - /
Baktash 2020 UK Prospective Cohort Study 105 SARS-CoV-2 + 81 (SD NR) SARS-CoV-2 + 42/28 SARS-CoV-2 + Caucasian: 50 South Asian: 18 East Asian: 2 Afro-Caribbean: 1 Difference in mean 25(OH)D levels between COVID-19 patients and controls. Assessment of the risk for COVID-19 related mortality in patients with VDD Admission to hospital
SARS-CoV-2 - 83.4 ± 8.1 SARS-CoV-2 - 15/20 SARS-CoV-2 - Caucasian: 30 South Asian: 3 East Asian: 0 Afro-Caribbean: 3
Carpagnano 2020 Italy Retrospective, observational single-center study 42 SARS-CoV-2 + 65.0 ± 13.0 SARS-CoV-2 + 30/12 NR Assessment of the risk for mortality by COVID-19 in patients with VDD Performed within 12 h of admission to RICU
SARS-CoV-2 - / SARS-CoV-2 - /
Cereda 2020 Italy Single-center cohort study 129 SARS-CoV-2 + 73.6 ± 13.9 SARS-CoV-2 + 70/59 SARS-CoV-2 + / Assessment of the risk for COVID-19 severity and related mortality in patients with VDD Performed within 48 h of admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - / SARS-CoV-2 - /
Chodick 2020 Israel Cross-sectional study 14,520 SARS-CoV-2 + 40.6 (19.1) SARS-CoV-2 + 788/529 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls NR
SARS-CoV-2 - 37.0 (19.1) SARS-CoV-2 - 6092/7111
D'Avolio 2020 Swiss Retrospective Cohort Study 107 SARS-CoV-2 + 73.3 ± 12.5 SARS-CoV-2 + 19/8 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls Generally performed within 3 days of molecular testing for diagnosis of SARS-CoV-2 infection
SARS-CoV-2 - 72.0 ± 15.9 SARS-CoV-2 - 39/41
De Smet 2020 Belgium Retrospective observational study 186 SARS-CoV-2 + 67.0 ± 20.9 SARS-CoV-2 + 109/77 NR Difference in 25(OH)D levels between mild and severe cases and between dead or discharged patients. Assessment of the risk for COVID-19 severe forms in patients with VDD Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - /
Faul 2020 [41] Ireland Observational study 33 SARS-CoV-2 + NR SARS-CoV-2 + 33/0 SARS-CoV-2 + Caucasian: 33 Difference in 25(OH)D levels between mild and severe COVID-19 patients Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - / SARS-CoV-2 - /
Hastie-Mackay 2020 UK Retrospective cohort study 348,598 SARS-CoV-2 + NR SARS-CoV-2 + 265/184 SARS-CoV-2 + White: 385 Black: 32 South Asian:19 Other: 13 Difference in mean 25(OH)D levels between COVID-19 patients and controls Pre-hospedalization (at least 10 years old dosages)
SARS-CoV-2 - NR SARS-CoV-2 - 168,391/179,758 SARS-CoV-2 - White: 331,464 Black: 5022 South Asian:5917 Other: 5746
Hernandez 2020 Spain Case-control Study 394 SARS-CoV-2 + 59.5 ± 16.8 SARS-CoV-2 + 123/74 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls. Assessment of the risk for COVID-19 severity and related mortality in patients with VDD Admission to hospital
SARS-CoV-2 - 61.0 ± 7.47 SARS-CoV-2 - 123/74
Im 2020 [33] South Korea Case-control study 200 SARS-CoV-2 + 52.2 ± 20.7 SARS-CoV-2 + 21/29 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls Dosing performed on average within 2 days of hospital admission and no later than 7 days
SARS-CoV-2 - 52.4 ± 20.2 SARS-CoV-2 - NR
Jain 2020 India Prospective observational study 154 SARS-CoV-2 + NR SARS-CoV-2 + 95/69 NR Difference in 25(OH)D levels between mild and severe cases. Assessment of the risk for COVID-19 severe forms or mortality in patients with VDD Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - /
Karonova 2020 Russia Observational cohort study 80 SARS-CoV-2 + 53.2 ± 15.7 SARS-CoV-2 + 43/37 NR Difference in 25(OH)D levels between mild and severe COVID-19 forms and between dead or discharged patients NE
SARS-CoV-2 - / SARS-CoV-2 - /
Kerget 2020 [44] Turkey Case-control Study 88 SARS-CoV-2 + 49±21.1 SARS-CoV-2 + 41/47 NR Difference in 25(OH)D levels between mild and severe COVID-19 forms and  between dead or discharged patients Admission to hospital
SARS-CoV-2 - 35.2 ± 6.9 SARS-CoV-2 - 8/12
Luo 2020 China Retrospective cross-sectional study 895 SARS-CoV-2 + 54.3 ± 15.6 SARS-CoV-2 + 148/187 NR Difference in 25(OH)D levels between COVID-19 patients and controls. Difference in 25(OH)D levels between mild and severe COVID-19 forms and between dead or discharged patients. Assessment of the risk for COVID-19 severity and related mortality in patients with VDD Admission to hospital
SARS-CoV-2 - 54.7 ± 8.2 SARS-CoV-2 - 257/303
SARS-CoV-2 - / SARS-CoV-2 - /
Mardani 2020 [35] Iran Case-control study 123 SARS-CoV-2 + 43.3 ± 14.5 SARS-CoV-2 + 35/28 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls and between dead or discharged patients Admission to hospital
SARS-CoV-2 - 40.8 ± 15.8 SARS-CoV-2 - 30/30
Merzon 2020 Israel Population based study 7807 SARS-CoV-2 + 35.6 ± 15.6 SARS-CoV-2 + 385/397 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls Pre-hospedalization (not specified when)
SARS-CoV-2 - 47.4 ± 21.0 SARS-CoV-2 - 2849/4176
Panagiotou 2020 UK Retrospective study 134 SARS-CoV-2 + NR SARS-CoV-2 + 73/61 SARS-CoV-2 + Caucasian: 128 Asian: 4 Afro-Caribbean: 1 Other: 1 Difference in 25(OH)D levels between mild and severe COVID-19 forms. Assessment of the risk for severe COVID-19 forms in patients with VDD Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - / SARS-CoV-2 - /
Pizzini 2020 Austria Prospective Multicenter Observational Study 109 SARS-CoV-2 + 58.0 ± 14.0 SARS-CoV-2 + 65/44 NR Difference in 25(OH)D levels between mild and severe COVID-19 forms 25(OH)D assays performed 8 weeks after disease onset
SARS-CoV-2 - / SARS-CoV-2 - /
Radujkovic 2020 Germany Prospective Observational Study 185 SARS-CoV-2 + 50.7 ± 15.7 SARS-CoV-2 + 95/90 NR Difference in 25(OH)D levels between mild and severe COVID-19 forms Admission to hospital
SARS-CoV-2 - / SARS-CoV-2 - /
SARS-CoV-2 - / SARS-CoV-2 - /
Raisi-Estabragh 2020 UK Prospective cohort study 4510 SARS-CoV-2 + 68.1 ± 9.2 SARS-CoV-2 + 696/630 SARS-CoV-2 + White: 1.141 Black: 76 Asian: 60 Chinese: 6 Mixed: 9 Other: 34 Difference in mean 25(OH)D levels between COVID-19 patients and controls Pre-hospedalization (at least 10 years old dosages)
SARS-CoV-2 - 68.91 ± 8.72 SARS-CoV-2 - 1505/1679 SARS-CoV-2 - White: 2927 Black: 91 Asian: 78 Chinese: 3 Mixed: 24 Other: 61
Szeto 2020 USA Retrospective cohort study 93 SARS-CoV-2 + NR SARS-CoV-2 + 44/49 SARS-CoV-2 + Black: 27 Assessment of the risk for COVID-19 severity and related mortality in patients with VDD Prehospitalization (25(OH)D levels measured within the previous year and on average 136 days prior to hospital admission)
SARS-CoV-2 - / SARS-CoV-2 - / SARS-CoV-2 - /
Vassiliou 2020 Greek Prospective observational cohort study 30 SARS-CoV-2 + 65.0 ± 11.0 SARS-CoV-2 + 24/6 NR Difference in 25(OH)D levels between dead and discharged COVID-19 patients and assessment of the risk for COVID-19 mortality in patients with VDD Admission to ICU
SARS-CoV-2 - / SARS-CoV-2 - /
Ye 2020 [38] China Case-control study 142 SARS-CoV-2 + 41.7 ± 15.9 SARS-CoV-2 + 32/48 NR Difference in mean 25(OH)D levels between COVID-19 patients and controls, and between patients with severe or non-severe forms of COVID-19. Assessment of the risk for severe COVID-19 forms in patients with VDD Admission to hospital
SARS-CoV-2 - 44.7 ± 20.5 SARS-CoV-2 - 23/39

Abbreviation: 25(OH)D, 25‑hydroxy-cholecalciferol; VDD, vitamin D deficiency; COVID-19, coronavirus disease 19; NR, Not Reported; SARS-CoV-2 +, patients positive for severe acute respiratory syndrome coronavirus 2 infection; SARS-CoV-2 -, patients negative for severe acute respiratory syndrome coronavirus 2 infection; SD, standard deviation; NE, Not evaluated; ICU, Intensive Care Unit; RICU, Respiratory Intermediate Care Unit.

Table 2.

Quality assessment tool for observational cohort and cross-sectional studies.

Author 1 2 3 4 5 6 7 8 9 10 11 12 13 14
Abrishami et al. (2020) [49] + + + + NR + + + NA + +
Arvinte et al. (2020) [50] + + + NR + + NA +
Baktash et al. (2020) [28] + + + + + + NA +
Carpagnano et al. (2020) [54] + + + NR + + + NA + +
Cereda et al. (2020) + + + + + + + NA + +
Chodick et al. (2020) [29] + + + NR + + NA + +
D'Avolio et al. (2020) [30] + + + + + + NA +
De Smet et al. (2020) [40] + + + + + + NA +
Faul et al. (2020) [41] + + + NR NR NR NR + NA +
Hastie-Mackay et al. (2020) [31] + + + + + + + + NR + NA + +
Jain et al. (2020) + + + + + NR + + + NA + +
Karonova et al. (2020) [43] not assessable because in Russian language
Luo et al. (2020) + + + + + + + NA + +
Merzon et al. (2020) [36] + + + + + NA + + NR + NA + +
Panagiotou et al. (2020) [46] + + + NR + + + NA +
Pizzini et al. (2020) [47] + + + + + + + + NA +
Radujkovic et al. (2020) [48] + + + + + + + NA + +
Raisi-Estabragh et al. (2020) [37] + + + + + + + + NA + +
Szeto et al. (2020) [53] + + + + NR + + + + NA + +
Vassiliou et al. (2020) [51] + + + + + + + + NA +

1. Was the research question or objective in this paper clearly stated?

2. Was the study population clearly specified and defined?

3. Was the participation rate of eligible persons at least 50%?

4. Were all the subjects selected or recruited from the same or similar populations (including the same time period)? Were inclusion and exclusion criteria for being in the study pre-specified and applied uniformly to all participants?

5. Was a sample size justification, power description, or variance and effect estimates provided?

6. For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured?

7. Was the timeframe sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed?

8. For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome (e.g., categories of exposure, or exposure measured as continuous variable)?

9. Were the exposure measures (independent variables) clearly defined, valid, reliable, and implemented consistently across all study participants?

10. Was the exposure(s) assessed more than once over time?

11. Were the outcome measures (dependent variables) clearly defined, valid, reliable, and implemented consistently across all study participants?

12. Were the outcome assessors blinded to the exposure status of participants?

13. Was loss to follow-up after baseline 20% or less?

14. Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)?

Analysis of serum 25(OH)D levels in SARS-CoV2-positive versus negative patients, and also analysis of patients with infection discharged versus those who died from the disease, were not performed, since pre-prints (original article references 39, 45, 55) were not included for these outcomes in the original meta-analysis.

Regarding analysis related to 25(OH)D levels in patients with severe or non-severe COVID-19 (original article Fig. 3), after exclusion of the pre-prints referenced originally as 39 and 45, 10 studies assessing this outcome remained. Specifically, the new analysis confirmed that 25(OH)D levels were clearly lower in the 492 patients with severe disease compared to the 817 patients with a non-severe course of the disease [MD −5.50 (−8.86, −2.14); p = 0.001] (Fig. 3A). After exclusion of the two pre-prints mentioned above, high inter-study heterogeneity was still found (Chi2 P < 0.00001, I2=93%) (Fig. 3B). After the removal of the studies by Luo and colleagues (original article reference 34), and Jain and colleagues (original article reference 42), identified as a source of heterogeneity at the Funnel Plot, the analysis showed homogeneity of the remaining studies (Chi2 P = 0.86, I2=0%) maintaining the statistical significance [MD −4.80 (−6.27, −3.32); p < 0.00001].

Fig. 3.

Fig 3

Panel A. Forest plot of studies that assessed 25(OH)D levels as a continuous variable in patients with severe course of COVID-19 than those with mild course. Panel B. Funnel plot showing the source of heterogeneity of studies that evaluated 25(OH)D levels as a continuous variable in patients with severe course of COVID-19 than those with mild course. Serum 25(OH)D levels are expressed in ng/ml.

Also, the analysis of the risk of severe COVID-19 in patients with VDD (original article Fig. 5) did not change after the exclusion of pre-print reference 39. This outcome was assessed on data extracted from 10 studies. The study by Cereda and colleagues (original article reference 52) was considered twice since it evaluated both the percentage of patients with severe pneumonia and patients admitted to the intensive care units as an outcome of severity. The study by Jain and colleagues (original article reference 42) was also considered twice since they assessed the risk of infection severity both in patients with 25(OH)D<20 ng/ml and then in patients with levels below 10 ng/ml. The new statistical analysis confirmed that patients with VDD had a higher risk of a severe disease course than patients without deficiency [OR 3.78 (1.77, 8.06); p = 0.0006], regardless of the cut-off values considered to establish the efficiency (Fig. 5A). The Funnel plot showed that the heterogeneity found (Chi2 P < 0.00001, I2=85%) was attributable to the studies Jain and colleagues’ (original article reference 42) and Hernandez and coworkers’ (original article reference 32) (Fig. 5B). Once the data from these studies were excluded, heterogeneity was no longer observed (Chi2 P = 0.53, I2=0%) and the risk of developing a severe course of the disease in VDD patients remained significant [OR 2.47 (1.80, 3.37); p < 0.00001].

Fig. 5.

Fig 5

Panel A. Forest plot of studies that assessed the risk of a severe course of disease in subjects with 25(OH)D values below or above a specified cut-off. The different cut-offs used by the studies allowed for subgroup analysis. Studies using cut-off values higher than those established by the Endocrine Society for the diagnosis of Vitamin D Deficiency (<20 ng/ml) were not included. Panel B. Funnel plot showing the source of heterogeneity of studies that evaluated the risk of a severe course of disease in subjects with 25(OH)D below or above a specified cut-off.

Finally, the analysis of the risk of mortality in patients with VDD (original article supplementary Fig. 2) also remained unchanged after the exclusion of the pre-print reference 55. Indeed, the analysis of the remaining 8 studies confirmed the absence of a significant increase in mortality risk in patients with VDD compared to patients with adequate 25(OH)D levels [OR 1.74 [0.84, 3.59]; p = 0.14] regardless of the cut-off values considered for deficiency (supplementary Fig. 2A). Heterogeneity between studies was found (Chi2 P < 0.03, I2=55%), and its origin was due to the study by Jain and colleagues (42) (Supplementary Fig. 2B). When this was excluded from the analysis, the Funnel Plot showed homogeneity among the remaining studies (Chi2 P = 0.15, I2=36%), and the increased risk of COVID-19 mortality in the presence of VDD was confirmed to be non-significant [OR 1.30 (0.83, 2.03); p = 0.25].

In conclusion, the results of this new analysis showed no difference compared to the original one. Therefore, the inclusion of pre-prints did not affect the results of our meta-analysis. After the exclusion of pre-prints, we may still hypothesize a role for low 25(OH)D levels in the risk of SARS-CoV-2 infection and the development of more severe forms of COVID-19.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.eclinm.2021.101168.

Appendix. Supplementary materials

mmc1.docx (48.2KB, docx)

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