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. 2014 Jun 23;2014(6):CD007469. doi: 10.1002/14651858.CD007469.pub2

Summary of findings for the main comparison. Vitamin D versus placebo or no intervention for prevention of cancer in adults.

Vitamin D versus placebo or no intervention for prevention of cancer in adults
Patient or population: healthy participants or recruited among the general population; individuals diagnosed with a specific disease in a stable phase or with vitamin D deficiency
Settings: outpatients
 Intervention: vitamin D versus placebo or no intervention
Outcomes Illustrative comparative risks* (95% CI) Relative effect
 (95% CI) No of participants
 (studies) Quality of the evidence
 (GRADE) Comments
Assumed risk Corresponding risk
Control Vitamin D versus placebo or no intervention
Cancer occurrence
Follow‐up: 0.5 to 7 years
Study population RR 1.00 
 (0.94 to 1.06) 50623
 (18) ⊕⊕⊕⊝
moderatea
Trial sequential analysis of all vitamin D trials suggests that the futility area is reached after the 10th trial allowing us to conclude that any possible intervention effect, if any, is lower than a 5% relative risk reduction.
77 per 1000 77 per 1000 
 (72 to 81)
Moderate
28 per 1000 28 per 1000 
 (26 to 30)
Cancer occurrence in trials using vitamin D₃ (cholecalciferol)
Follow‐up: 0.5 to 7 years
Study population RR 1.00 
 (0.94 to 1.06) 49891
 (14) ⊕⊕⊕⊝
moderatea
Trial sequential analysis of all vitamin D trials suggests that the futility area is reached after the 10th trial allowing us to conclude that any possible intervention effect, if any, is lower than a 5% relative risk reduction.
77 per 1000 77 per 1000 
 (73 to 82)
Moderate
28 per 1000 28 per 1000 
 (26 to 30)
All‐cause mortality
Follow‐up: 0.5 to 7 years
Study population RR 0.93 
 (0.88 to 0.98) 49866
 (15) ⊕⊕⊝⊝
lowb
Trial sequential analysis of all trials irrespective of bias risks showed that the required information size had not yet been reached and that the cumulative Z‐curve did not cross the trial sequential monitoring boundary for benefit.
80 per 1000 75 per 1000 
 (71 to 79)
Moderate
16 per 1000 15 per 1000 
 (14 to 16)
Cancer mortality in trials using vitamin D(cholecalciferol)
Follow‐up: 5 to 7 years
Study population RR 0.88 
 (0.78 to 0.98) 44492
 (4) ⊕⊕⊝⊝
lowb
Trial sequential analysis of all trials irrespective of bias risks showed that the required information size had not yet been reached and that the cumulative Z‐curve did not cross the trial sequential monitoring boundary for benefit.
29 per 1000 25 per 1000 
 (22 to 28)
Moderate
37 per 1000 33 per 1000 
 (29 to 36)
Adverse events: nephrolithiasis in trials using vitamin D(cholecalciferol) combined with calcium
Follow‐up: 0.5 to 7 years
Study population RR 1.17 
 (1.03 to 1.34) 42753
 (3) ⊕⊕⊝⊝
lowb
Trial sequential analysis of all trials irrespective of bias risks showed that the required information size had not yet been reached and that the cumulative Z‐curve did not cross the trial sequential monitoring boundary for benefit.
18 per 1000 21 per 1000 
 (18 to 24)
Moderate
1 per 1000 1 per 1000 
 (1 to 1)
Health‐related quality of life See comment Not investigated.
Health economics See comment Not investigated.
*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
 CI: confidence interval; RR: risk ratio
GRADE Working Group grades of evidence
 High quality: Further research is very unlikely to change our confidence in the estimate of effect.
 Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
 Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
 Very low quality: We are very uncertain about the estimate.

aDowngraded by one level because of risk of attrition bias

bDowngraded by two levels because of risk of attrition bias and imprecision