Evidence map›Paper›PMID 27006201›Full record

SynthesisScientific reports2016

Effects of Berries Consumption on Cardiovascular Risk Factors: A Meta-analysis with Trial Sequential Analysis of Randomized Controlled Trials.

Haohai Huang, Guangzhao Chen, Dan Liao, Yongkun Zhu, Xiaoyan Xue

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haohai HuangDepartment of Clinical Pharmacy, Dongguan Third People's Hospital, Affiliated Dongguan Shilong People's Hospital of Southern Medical University, Dongguan, Guangdong, 523326, China.
Guangzhao ChenDepartment of Pharmacy, Guangdong Province Agricultural Reclamation Central Hospital, Zhanjiang, Guangdong, 524002, China.
Dan LiaoDepartment of Gynaecology &Obstetrics, Dongguan Maternal &Child Health Hospital, Dongguan, Guangdong, 523112, China.
Yongkun ZhuDepartment of Clinical Pharmacy, Dongguan Third People's Hospital, Affiliated Dongguan Shilong People's Hospital of Southern Medical University, Dongguan, Guangdong, 523326, China.
Xiaoyan XueDepartment of Clinical Pharmacy, Dongguan Third People's Hospital, Affiliated Dongguan Shilong People's Hospital of Southern Medical University, Dongguan, Guangdong, 523326, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of berries consumption on cardiovascular disease (CVD) risk factors have not been systematically examined. Here, we aimed to conduct a meta-analysis with trial sequential analysis to estimate the effect of berries consumption on CVD risk factors. PubMed, Embase, and CENTRAL were searched for randomized controlled trials (RCTs) that regarding the effects of berries consumption in either healthy participants or patients with CVD. Twenty-two eligible RCTs representing 1,251 subjects were enrolled. The pooled result showed that berries consumption significantly lowered the low density lipoprotein (LDL)-cholesterol [weighted mean difference (WMD), -0.21 mmol/L; 95% confidence interval (CI), -0.34 to -0.07; P = 0.003], systolic blood pressure (SBP) (WMD, -2.72 mmHg; 95% CI, -5.32 to -0.12; P = 0.04), fasting glucose (WMD, -0.10 mmol/L; 95% CI, -0.17 to -0.03; P = 0.004), body mass index (BMI) (WMD, -0.36 kg/m(2); 95% CI, -0.54 to -0.18, P < 0.00001), Hemoglobin A1c (HbA1c) (WMD, -0.20%; 95% CI, -0.39 to -0.01; P = 0.04) and tumor necrosis factor-α (TNF-α) (WMD, -0.99 ρg/mL; 95% CI, -1.96 to -0.02; P = 0.04). However, no significant changes were seen in other markers. The current evidence suggests that berries consumption might be utilized as a possible new effective and safe supplementary option to better prevent and control CVD in humans.

Indexed as

AdultBiomarkersBlood PressureCardiovascular DiseasesCholesterol, LDLFemaleFruitGlycated HemoglobinHumansMaleMiddle AgedPlant ExtractsRandomized Controlled Trials as TopicRisk FactorsTumor Necrosis Factor-alphaYoung AdultBiomarkersCholesterol, LDLGlycated HemoglobinPlant ExtractsTNF protein, humanTumor Necrosis Factor-alpha

Identifiers

PMID27006201
PMCPMC4804301

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.