Evidence map›Paper›PMID 24829768›Full record

ArticleIranian Red Crescent medical journal2014

Nutritional status and coronary artery disease: a cross sectional study.

Behrooz Ghanbari, Shiva Khaleghparast, Behshid Ghadrdoost, Hooman Bakhshandeh

Open access · bronzeAbstract read
In one paragraph

Article in Iranian Red Crescent medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Behrooz GhanbariMental Health Research Center, Tehran Psychiatric Institute, Iran University of Medical Sciences, Tehran, IR Iran.
Shiva KhaleghparastCenter for Nursing Care Research, Iran University of Medical Sciences, Tehran, IR Iran.
Behshid GhadrdoostShahid Rajaie Cardiovascular, Medical and Research Center, Iran University of Medical Sciences, Tehran, IR Iran.
Hooman BakhshandehShahid Rajaie Cardiovascular, Medical and Research Center, Iran University of Medical Sciences, Tehran, IR Iran.
Iran University of Medical Sciences · IRShaheed Rajaei Cardiovascular Medical and Research Center · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutrition is among the most important factors influencing coronary artery disease.

objectivesHere we aimed to study the nutritional status of patients with and without coronary artery disease (CAD). PATIENTS AND

methodsWe performed a cross-sectional study on 600 patients referred to a cardiology clinic with the signs of ACS. The patients were then classified in to two groups (CAD group and the normal group) based on angiographic findings. The amount of nutritional profile was questioned from all participants.

resultsMen were more often diagnosed with CAD compared to women (198/362 vs. 102/238; P < 0.01). Patients with coronary artery disease were mostly older, smoker, coffee and black tea drinker had a higher BMI and more frequently diagnosed with hypertension, hyperlipidemia and diabetes. On the other hand, green tea consumption was seen more in women (92/238 vs. 115/362; P < 0.05) and those with regular physical activity (119/299 vs. 88/301; P < 0.01). Backward regression modeling was employed to study the predictors of CAD. Type of tea and meat remained as one the most important nutritional factors predicting CAD.

conclusionsWhite mean and type of tea were the most important predictors of CAD. Dietary prevention strategies from childhood could prevent early CAD.

Indexed as

Cardiovascular DiseasesMeatTea

Identifiers

PMID24829768
PMCPMC4005430
OpenAlexW2100447485

What OpenQuestion holds

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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.