Evidence map›Paper›PMID 26826021›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2016

Fruit and Vegetables Consumption and Risk of Hypertension: A Meta-Analysis.

Bingrong Li, Fang Li, Longfei Wang, Dongfeng Zhang

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 13 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

78 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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18 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

4 authors.

Bingrong LiDepartment of Epidemiology and Health Statistics, The Medical College of Qingdao University, Qingdao, Shandong Province, China.
Fang LiDepartment of Epidemiology and Health Statistics, The Medical College of Qingdao University, Qingdao, Shandong Province, China.
Longfei WangDepartment of Epidemiology and Health Statistics, The Medical College of Qingdao University, Qingdao, Shandong Province, China.
Dongfeng ZhangDepartment of Epidemiology and Health Statistics, The Medical College of Qingdao University, Qingdao, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between fruit and vegetables (FVs) consumption and hypertension risk remains controversial. A systematic search was performed in PubMed and the Web of Science for relevant articles published in English or Chinese up to April 2015. A total of 25 studies with 334,468 patients (41,713 cases) were included in the present meta-analysis. When comparing the highest with the lowest consumption, the pooled relative risks of hypertension were 0.812 (95% confidence interval, 0.740-0.890) for FVs, 0.732 (95% confidence interval, 0.621-0.861) for fruit, and 0.970 (95% confidence interval, 0.918-1.024) for vegetables. A significantly inverse association between fruit consumption and hypertension risk was found in studies carried out in Asia (relative risk, 0.70; 95% confidence interval, 0.61-0.79). Influence analysis revealed that no individual study had an excessive influence on the pooled relative risks. The present meta-analysis indicates that FV consumption might be inversely associated with hypertension risk, which still needs to be confirmed by prospective cohort studies.

Indexed as

AdultAgedAged, 80 and overAsian PeopleFemaleFruitHumansHypertensionMaleMiddle AgedRisk FactorsVegetablesYoung Adult

Identifiers

PMID26826021
PMCPMC8032179

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.