Evidence mapPaperPMID 39198491Full record

ArticleScientific reports2024

Path analysis model to identify the effect of poor diet quality on NAFLD among Iranian adults from Amol Cohort Study.

Azam Doustmohammadian, Bahareh Amirkalali, Barbora de Courten, Saeed Esfandyari, Nima Motamed, Mansooreh Maadi, Hossein Ajdarkosh, Esmaeel Gholizadeh, Samira Chaibakhsh, Farhad Zamani

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Azam DoustmohammadianGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Bahareh AmirkalaliGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Barbora de CourtenSchool of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, 3085, Australia.
Saeed EsfandyariAsadabad School of Medical Sciences, Hamadan, Iran.
Nima MotamedDepartment of Social Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Mansooreh MaadiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Hossein AjdarkoshGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Esmaeel GholizadehGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Samira ChaibakhshRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Farhad ZamaniGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran. zamani.farhad@gmail.com.

Funding

Iran University of Medical Sciences 99-2-30-19054
6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is expanding as a global health problem with approximately 25% of the world's population affected by it. Dietary modification is one of the most important strategies for preventing NAFLD. The association between nutrient density and the Healthy Eating Index 2015 (HEI2015) with NAFLD demonstrates that nutrient density is an independent predictor of NAFLD in Iranian adults [fully adjusted model: OR (95% CI)

Indexed as

DietNon-alcoholic Fatty Liver DiseaseAdultCohort StudiesC-Reactive ProteinFemaleGlycated HemoglobinHumansIranMaleMetabolic SyndromeMiddle AgedObesity, AbdominalRisk FactorsWaist-Height RatioC-Reactive ProteinGlycated HemoglobinCRPDietHemoglobin A1c proteinIranNonalcoholic Fatty Liver Disease

Identifiers

PMID39198491
PMCPMC11358441

What Socratic holds

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LicenceCC BY
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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 Socratic graph.