Evidence map›Paper›PMID 28671591›Full record

SynthesisNutrients2017

Chocolate Consumption and Risk of Coronary Heart Disease, Stroke, and Diabetes: A Meta-Analysis of Prospective Studies.

Sheng Yuan, Xia Li, Yalei Jin, Jinping Lu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 13 pooled it
12.4field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 13 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  4. Dietary interventions in the management of atrial fibrillation.Frontiers in cardiovascular medicine · 2024
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  16. Cocoa Shell Extract Restores Redox Balance in Developmental Hypertension in Male Rats: Roles of Nrf2, SOD2 and p-eNOS.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Sheng YuanDepartment of Geratology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China. whumedor@163.com.
Xia LiDepartment of Geratology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China. mengxingshunking@163.com.
Yalei JinDepartment of Geratology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China. hhl201802@163.com.
Jinping LuDepartment of Geratology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China. fxylgb@whu.edu.cn.
Wuhan University · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although epidemiological studies have examined the role of chocolate in preventing cardiometabolic disease, the results remain inconsistent. Herein, we conducted a meta-analysis of prospective studies to determine the association between chocolate intake and risk of coronary heart disease (CHD), stroke, and diabetes. A systematical search in PubMed and Embase through March 2017, together with reference scrutiny of relevant literatures, was performed to identify eligible studies. Relative risks (RRs) and 95% confidence intervals (CIs) were pooled using random effect models. Fourteen prospective studies of primary prevention with 508,705 participants were finally included, with follow-up durations ranging from 5 to 16 years. The summary RRs for the highest versus lowest chocolate consumption were 0.90 (95% CI: 0.82-0.97;

Indexed as

ChocolateFeeding BehaviorCoronary DiseaseDietHumansMiddle AgedRisk Factorschocolate consumptioncoronary heart diseasediabetesmeta-analysisstroke

Identifiers

PMID28671591
PMCPMC5537803
OpenAlexW2726316091

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.