Evidence map›Paper›PMID 31405073›Full record

ArticleNutrients2019

Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach.

Adelle M Gadowski, Natalie Nanayakkara, Stephane Heritier, Dianna J Magliano, Jonathan E Shaw, Andrea J Curtis, Sophia Zoungas, Alice J Owen

Abstract readComparative Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
  2. Article
  3. 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

8 authors.

Adelle M GadowskiSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Natalie NanayakkaraSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Stephane HeritierSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Dianna J MaglianoBaker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia.
Jonathan E ShawSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Andrea J CurtisSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Sophia ZoungasSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Alice J OwenSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia. alice.owen@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid-lowering therapy (LLT) should be accompanied by dietary guidance for cardiovascular risk reduction; however, current evidence suggests sub-optimal dietary behaviors in those on LLT. We examined the associations between the dietary intake of key food groups (vegetables, fruit, cereal, protein, and dairy) and LLT use in Australian adults using quantile regression. We used data from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a prospective population-based study of adults aged ≥25 years, conducted over 5 years (1999-2005). Measurements included a 121-item food frequency questionnaire and LLT use. LLT use was categorized as: LLT users (

Indexed as

Risk Reduction BehaviorAdultAgedAustraliaCardiovascular DiseasesComorbidityDiabetes MellitusDietary FatsDyslipidemiasFemaleHumansHypolipidemic AgentsMaleMiddle AgedNutritive ValueObesityDietary FatsHypolipidemic Agentscardiovascular diseasecerealdairyfood groupsfruitlipid-lowering therapyproteinquantile regressionstatinsvegetable

Identifiers

PMID31405073
PMCPMC6724025

What OpenQuestion holds

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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 OpenQuestion graph.