| Literature DB >> 31405892 |
Yu Zhang1, Fang Fang2, Jingjing Tang3, Lu Jia4, Yuning Feng1, Ping Xu5, Andrew Faramand6.
Abstract
OBJECTIVE: To investigate whether vitamin D supplementation is associated with lower mortality in adults.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31405892 PMCID: PMC6689821 DOI: 10.1136/bmj.l4673
Source DB: PubMed Journal: BMJ ISSN: 0959-8138
Fig 1Search strategy and final included and excluded studies
Summary characteristics of included studies
| Characteristics | No of trials (No of participants) |
|---|---|
| Eligible studies: | |
| Total No of trials (No of participants) | 50 (74 655) |
| Median (IQR) follow-up (years) | 1.0 (0.7-3.0) |
| Follow-up at least three years | 12 (57 818) |
| Median (IQR) No of participants | 251 (125-839) |
| Total No of deaths | 7993 |
| Median (IQR) % female | 64(40-100) |
| Median (IQR) age (years) | 74 (65-80) |
| Country: | |
| European | 29 (32 840) |
| American | 10 (31 240) |
| Asian-Pacific | 10 (10 057) |
| International country | 1 (518) |
| Baseline 25 hydroxyvitamin D (nmol/L): | |
| <25 | 4(886) |
| 25-50 | 21 (15 194) |
| 50-75 | 16 (24 408) |
| >75 | 2 (26 058) |
Fig 2Forest plot of all cause mortality of trials evaluating vitamin D3 and vitamin D2 supplementation
Subgroup analysis of the effect of vitamin D on all cause mortality
| Subgroup title | No of trials | No of participants | I2 (%) | Risk ratio (95% CI) | P for interaction |
|---|---|---|---|---|---|
| Overall | 50 | 74 655 | 0 | 0.98 (0.95 to 1.02) | — |
| No of participants: | |||||
| ≥2000 | 11 | 63 793 | 24 | 0.99 (0.95 to 1.03) | 0.65 |
| <2000 | 39 | 10 862 | 0 | 0.95 (0.81 to 1.11) | |
| No of events: | |||||
| ≥200 | 8 | 54 168 | 0 | 0.99 (0.95 to 1.03) | 0.85 |
| <200 | 42 | 20 487 | 0 | 0.97 (0.85 to 1.11) | |
| Age (years): | |||||
| ≥70 | 22 | 39 390 | 0 | 1.00 (0.90 to 1.11) | 0.78 |
| <70 | 28 | 35 265 | 17 | 0.98 (0.94 to 1.02) | |
| Sex: | |||||
| Female | 14 | 17 671 | 20 | 0.95 (0.86 to 1.05) | 0.47 |
| Male and female | 36 | 56 984 | 0 | 0.99 (0.95 to 1.03) | |
| Baseline mean 25 hydroxyvitamin D (nmol/L): | |||||
| ≥50 | 18 | 50 466 | 0 | 1.04 (0.97 to 1.12) | 0.07 |
| <50 | 26 | 16 080 | 19 | 0.95 (0.90 to 1.01) | |
| Year of publication: | |||||
| Before 2014 | 33 | 37 088 | 5 | 0.98 (0.94 to 1.02) | 0.77 |
| In or after 2014 | 17 | 37 567 | 0 | 1.00 (0.90 to 1.11) | |
| Type of vitamin D: | |||||
| Vitamin D3 | 40 | 57 111 | 0 | 0.95 (0.91 to 1.00) | 0.04* |
| Vitamin D2 | 10 | 17 544 | 12 | 1.03 (0.98 to 1.09) | |
| Daily dose equivalent (IU): | |||||
| <2000 | 30 | 39 785 | 0 | 0.98 (0.94 to 1.02) | 0.56 |
| ≥2000 | 16 | 34 116 | 0 | 1.01 (0.91 to 1.13) | |
| Timing: | |||||
| Daily | 31 | 47 931 | 0 | 0.99 (0.94 to 1.04) | 0.79 |
| Intermittently | 15 | 25 815 | 0 | 0.98 (0.93 to 1.03) | |
| Bolus or not: | |||||
| Bolus | 10 | 24 612 | 0 | 0.98 (0.93 to 1.04) | 1.00 |
| Non-bolus | 36 | 49 134 | 0 | 0.98 (0.93 to 1.04) | |
| Residential status: | |||||
| Community | 41 | 62 362 | 0 | 0.97 (0.92 to 1.02) | 0.31 |
| Institution | 9 | 12 293 | 0 | 1.01 (0.96 to 1.06) | |
| Follow-up: | |||||
| At least three years | 12 | 57 818 | 0 | 0.97 (0.93 to 1.01) | 0.26 |
| Less than three years | 38 | 16 837 | 6 | 1.02 (0.95 to 1.11) | |
| Intervention: | |||||
| Vitamin D | 34 | 62 767 | 0 | 1.00 (0.96 to 1.05) | 0.08 |
| Vitamin D plus calcium | 16 | 11 888 | 0 | 0.93 (0.87 to 1.00) | |
| Latitude: | |||||
| ≥40° | 36 | 41 002 | 5 | 0.99 (0.95 to 1.03) | 0.71 |
| <40° | 13 | 33 135 | 0 | 0.97 (0.87 to 1.08) |
Statistically significant.
Fig 3Forest plot of cancer mortality, cardiovascular mortality, and non-cancer, non-cardiovascular mortality of trials evaluating vitamin D supplementation