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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 32, No 4, July/August 2021

220

AFRICA

0.89–0.95;

p <

0.00001).

Statistical heterogeneity (Fig. 1) was low for studies on heart

disease only (

I

2

= 0%), CHD only (

I

2

= 14%), and stroke only (

I

2

= 36%) but not among studies on cerebral infarction only (

I

2

=

75%).

Funnel plots (Figs 3B, 4) suggested no evidence of publication

bias and no sole study exerted a significant effect on the sensitivity

of the overall findings of the meta-analysis (Tables 3, 4).

Discussion

In this study, higher intake of GLV was linked to reduced

incidence of all CVD events by 7% and, in particular, it was

inversely related to the incidence of cerebral infarction, CHD,

heart disease and stroke. These findings may suggest a potential

role of GLV intake as a primary-prevention strategy in the

management of CVD.

Similar to our findings, the largest study on stroke among

Africans [the Stroke Investigative Research and Educational

Network (SIREN) study] reported a strong protective dose–

response association such that daily consumption of GLV was

more protective against stroke [odds ratio (OR): 0.27; 95% CI:

0.19–0.38] than weekly consumption (OR: 0.70; 95% CI: 0.52–

0.95), compared to no consumption.

52

Earlier systematic reviews

and meta-analyses were broadly focused and generally combined

fruit and vegetables in investigating the effect of these nutritional

modalities on incident CVD events.

11,19,20,22,53-58

The uniqueness

of our study is therefore in the deconstruction of the specific

contribution of GLV on CVD. Also, our approach offered vital

insights into the potential roles of GLV in the occurrence of

CVD subtypes.

Although the exact mechanism of the protective effect of

GLV is not well understood, some constituents of GLV are likely

to confer small-to-moderate but clinically important protection

against CVD.

25

For example, VitaminB

9

, micronutrients and other

Table 3. Sensitivity analysis of pooled RR stratified

by categories of CVD events in the meta-analysis

Studies in the meta-analysis

I

2

(%)

Pooled RR

(95% CI)

p

-value

All studies

36 0.93 (0.92–0.95) < 0.00001

Cerebral infarction only

28 0.94 (0.92–0.95) < 0.00001

Cerebal and subarachnoid haemor-

rhage only

43 0.93 (0.92–0.95) < 0.00001

Coronary heart disease only

41 0.94 (0.92–0.96) < 0.00001

Heart disease only

40 0.93 (0.92–0.95) < 0.00001

Stroke only

40 0.93 (0.92–0.95) < 0.00001

Composite CVD events

22 0.93 (0.91–0.94) < 0.00001

Table 4. Sensitivity analysis of pooled RR of all

cohort studies included in the meta-analysis

Studies in the meta-analysis

I

2

(%)

Pooled RR

(95% CI)

p

-value

Cerebral infarction only

All studies

75 0.92 (0.88–0.96)

0.0003

Larsson

et al

. 2013_Cerebral infarction 0 0.85 (0.79–0.91) < 0.00001

Sauvaget

et al

. 2003_Cerebral infarc-

tion_men only

76 0.94 (0.89–0.99)

0.03

Sauvaget

et al

. 2003_Cerebral infarc-

tion_women only

84 0.93 (0.88–0.98)

0.007

Cerebal and subarachnoid haemorrhage

only

All studies

0 0.95 (0.86–1.04)

0.25

Larsson

et al

. 2013_Cerebral haemor-

rhage

0 0.97 (0.87–1.08)

0.57

Larsson

et al

. 2013_Subarachnoid

haemorrhage

0 0.93 (0.84–1.02)

0.12

Sauvaget

et al

. 2003_Cerebral haemor-

rhage_women only

0 0.96 (0.85–1.08)

0.48

Sauvaget

et al

. 2003_Cerebral haemor-

rhage_men only

13 0.95 (0.85–1.05)

0.30

Coronary heart disease only

All studies

14 0.92 (0.90–0.95) < 0.00001

Bendinelli

et al

. 2010_CHD

0 0.93 (0.90–0.95) < 0.00001

Bhupathiraju

et al

. 2013_CHD

36 0.93 (0.89–0.97)

0.0003

Blekkenhorst

et al.

2017_CHD

4 0.91 (0.88–0.94) < 0.00001

Joshipura

et al.

2001_CHD

23 0.93 (0.90–0.96) < 0.00001

Oude Griep

et al

. 2011_CHD

36 0.92 (0.90–0.95) < 0.00001

Heart disease only

All studies

0 0.93 (0.87–0.99)

0.02

Rautiainen

et al

. 2014_Heart failure

– 0.87 (0.73–1.03)

0.10

Wang

et al

. 2016_Heart disease

– 0.94 (0.88–1.00)

0.05

Stroke only

All studies

36 0.93 (0.90–0.96) < 0.0001

Johnsen

et al

. 2003_Ischemic stroke

45 0.93 (0.90–0.97) < 0.0001

Joshipura

et al

. 1999_Ischemic stroke

44 0.93 (0.90–0.97)

0.0003

Larsson

et al

. 2013_all stroke

22 0.91 (0.87–0.95) < 0.0001

Oude Griep

et al

. 2011_all stroke

14 0.92 (0.89–0.96) < 0.0001

Sauvaget

et al

. 2003_Stroke_men only 41 0.94 (0.90–0.97)

0.0005

Sauvaget

et al

. 2003_Stroke_women

only

45 0.93 (0.90–0.97)

0.0007

Wang

et al

. 2016_Stroke

24 0.94 (0.90–0.97)

0.0003

Composite CVD events

All studies

64 0.95 (0.93–0.98)

0.0006

Buil-Cosiales

et al

. 2016_all CVD 75 0.95 (0.93–0.98)

0.001

Gaziano

et al

. 1995_all CVD

30 0.96 (0.93–0.98)

0.003

Hung

et al

. 2004_all CVD

73 0.96 (0.90–1.02)

0.17

Joshipura

et al

. 2008_Ischemic CVD 72 0.95 (0.93–0.98)

0.0009

Takachi

et al.

2007_all CVD

59 0.94 (0.91–0.97) < 0.0001

Subgroups

Cerebral Infarction only

Cerebal&Subarachnoid Haemorrhage only

Coronary Heart Disease only

Heart Disease only

Stroke only

Composite CVD events

0.7

0.85

1

1.2

1.5

0

0.05

0.1

0.15

0.2

RR

SE(log[RR])

Fig. 4.

Funnel plots assessing publication bias in the meta-

analysis.