Evidence map›Paper›PMID 37451731›Full record

Observational studyBMJ open2023

Burdens of non-communicable disease attributable to metabolic risk factors in Australia, 1990-2019: joinpoint regression analysis of the Global Burden of Disease Study.

Kelemu Tilahun Kibret, Kathryn Backholer, Anna Peeters, Fisaha Tesfay, Melanie Nichols

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trajectories of sepsis survivors in Australia: A scoping review.Journal of the Intensive Care Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. 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

5 authors at 1 institution in 1 country.

Kelemu Tilahun KibretGlobal Centre for Preventive Health and NutritionI, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia kelemu.kibret@deakin.edu.au.ORCID 0000-0002-4357-4122
Kathryn BackholerGlobal Centre for Preventive Health and NutritionI, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Anna PeetersGlobal Centre for Preventive Health and NutritionI, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Fisaha TesfayGlobal Centre for Preventive Health and NutritionI, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Melanie NicholsGlobal Centre for Preventive Health and NutritionI, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Deakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term and comparative assessments of trends in non-communicable disease (NCD) burden attributable to metabolic risk are sparse. This study aimed to assess burdens and trends of NCD attributable to metabolic risk factors in Australia, 1990-2019.

designPopulation-based observational study. SETTINGS AND DATA SOURCE: Data were extracted from the Global Burden of Disease Study 2019 for Australia and trends in NCD burden attributable metabolic risks were estimated using the joinpoint regression model.

main outcome measuresNCD deaths and disability-adjusted life-years (DALYs) attributed to metabolic risk factors, 1990-2019.

resultsResults indicate a 1.1% yearly increase in exposure to combined metabolic risk factors from 1990 to 2019. Between 1990 and 2019, the estimated absolute number of deaths from NCDs attributed to combined metabolic risks increased by 17.0%. However, metabolic risk-related NCD burdens in Australia decreased between 1990 and 2019. In 2019, 34.0% of NCD deaths and 20.0% of NCD DALYs were attributed to metabolic risk factors, compared with 42.9% and 24.4%, respectively, in 1990. In 2019, cardiovascular diseases (CVDs), neoplasms and chronic kidney diseases were the most common NCD deaths attributed to metabolic risks. High body mass index accounted for the highest proportion of diabetes deaths (47.0%) and DALYs (58.1%) as well as chronic kidney disease deaths (35.4%) and DALYs (39.7%). Similarly, high systolic blood pressure contributed to a high proportion of chronic kidney disease deaths (60.9%) and DALYs (53.2%), and CVDs deaths (44.0%) and DALYs (46.0%).

conclusionWhile the contribution of metabolic risk factors to the burden of NCDs has declined from 1990 to 2019, their role in NCD death and disability remains a challenge as the prevalence of these risk factors has increased. Prevention strategies should focus on metabolic risks particularly high body mass index and high systolic blood pressure to substantially reduce NCD burdens.

Indexed as

Cardiovascular DiseasesNoncommunicable DiseasesRenal Insufficiency, ChronicGlobal Burden of DiseaseGlobal HealthHumansQuality-Adjusted Life YearsRisk FactorsCARDIOLOGYEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID37451731
PMCPMC10351265
OpenAlexW4384301764

What OpenQuestion holds

Textmetadata
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.