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ArticleIranian journal of public health2020

Population Attributable Risk of Hyperuricemia in Hypertension Incidence in 20-74-Year-Old Population during a 10-Year Longitudinal Cohort: Yazd Healthy Heart Cohort.

Mojtaba Mohammadhoseini, Seyedeh Mahdieh Namayandeh, Hosein Fallahzadeh, Fatemeh Majidpour, Seyed Mahmoud Sadr-Bafghi, Mohammadhosein Soltani, Leila Hadiani, Mohammadtaghi Sarebanhassanabadi, Hossein Nough, Ahmad Karimi and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

11 authors at 1 institution in 1 country.

Mojtaba MohammadhoseiniResearch Center of Prevention and Epidemiology of Non-Communicable Disease, Department Biostatics & Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyedeh Mahdieh NamayandehYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Hosein FallahzadehResearch Center of Prevention and Epidemiology of Non-Communicable Disease, Department Biostatics & Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Fatemeh MajidpourResearch Center of Prevention and Epidemiology of Non-Communicable Disease, Department Biostatics & Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyed Mahmoud Sadr-BafghiYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Mohammadhosein SoltaniYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Leila HadianiYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Mohammadtaghi SarebanhassanabadiYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Hossein NoughYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical sciences, Yazd, Iran.
Ahmad KarimiResearch Center of Prevention and Epidemiology of Non-Communicable Disease, Department Biostatics & Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Maryam AskariResearch Center of Prevention and Epidemiology of Non-Communicable Disease, Department Biostatics & Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Shahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe population attributable risk (PAR) percent has used widely in public health policy. We aimed to calculate the attribute risk of hypertension due to hyperuricemia by Levin's formulas compare to direct PAR calculation method.

methodsThis was a sub-study of Yazd Healthy Heart Cohort (YHHC). Overall, 1256 normotensive individuals were enrolled through multistage randomized cluster sampling and followed up for mean 9.8 years, from 2005-2015. The threshold cutoff point of the hyperuricemia was considered equal and more than 75

resultsHypertension developed in 44.7% of individuals with uric acid level ≥ 75

conclusionThe results of the study confirmed the noticeable contribution of hyperuricemia as an independent other risk factor for the occurrence of hypertension. PAR of hyperuricemia for hypertension incidence by using two methods almost near was 6%, 5.8% respectively.

Indexed as

HypertensionHyperuricemiaIranPopulation attributable risk percentage (PAR%)Uric acid

Identifiers

PMID33346219
PMCPMC7719658
OpenAlexW3107574032

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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.