Evidence map›Paper›PMID 35436955›Full record

ArticleCardiovascular diabetology2022

Bilirubin as an indicator of cardiometabolic health: a cross-sectional analysis in the UK Biobank.

Nazlisadat Seyed Khoei, Karl-Heinz Wagner, Anja M Sedlmeier, Marc J Gunter, Neil Murphy, Heinz Freisling

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. The Association between Serum Lipid Profile Levels and Hypertension Grades: A Cross-Sectional Study at a Health Examination Center.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 3 countries.

Nazlisadat Seyed KhoeiDepartment of Nutritional Sciences, Faculty of Life Sciences and Research Platform of Active Ageing, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Karl-Heinz WagnerDepartment of Nutritional Sciences, Faculty of Life Sciences and Research Platform of Active Ageing, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Anja M SedlmeierDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France.
Neil MurphyNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France.
Heinz FreislingNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon CEDEX 08, France. Freislingh@iarc.fr.ORCID 0000-0001-8648-4998
Centre international de recherche sur le cancer · FRUniversity of Vienna · ATUniversity of Regensburg · DE

Funding

Austrian Science Fund FWF P 32303Medical Research Council MC_PC_17228Medical Research Council MC_QA137853World Health Organization 001
6 · The paper itself

Abstract

backgroundMildly elevated bilirubin, a by-product of hemoglobin breakdown, might mitigate cardiometabolic risk factors including adiposity, dyslipidemia, and high blood pressure (BP). We investigated the cross-sectional relationship between (total) bilirubin and baseline cardiometabolic risk factors in 467,519 UK Biobank study participants.

methodsWe used multivariable-adjusted linear regression to estimate associations between bilirubin levels and risk factors of cardiometabolic diseases including body mass index (BMI), waist and hip circumferences (WC, HC), waist-to-hip ratio (WHR), fat mass (FM), and trunk FM, and the blood lipids: apolipoprotein A-I (apoA-I), apolipoprotein B (apoB), apoB/apoA-I, lipoprotein (a), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), LDL/HDL, TC/HDL, triglycerides (TG). Log-transformed bilirubin was modelled with restricted cubic splines and predicted mean values with 99% confidence intervals (CI) for each risk marker were estimated, separately. Second, we applied principal component analysis (PCA) for dimension reduction to in turn six anthropometric traits (height, weight, BMI, WC, HC, and WHR) and all above lipids. Last, we estimated associations (99%CI) between bilirubin and three components of the metabolic syndrome, i.e. WC, TG, and BP using logistic regression.

resultsAfter multivariable adjustments, higher levels of bilirubin were inversely associated with indicators of general adiposity (BMI and FM) and of body fat distribution (WC, HC, WHR, and trunk FM) in both men and women. For example, women with mildly elevated bilirubin (95

conclusionsHigher levels of bilirubin were inversely associated with cardiometabolic risk factors including adiposity, dyslipidemia, and hypertension.

Indexed as

BilirubinCardiometabolic Risk FactorsDyslipidemiasHypertensionObesityApolipoprotein A-IApolipoproteins BBody Mass IndexCholesterol, HDLCross-Sectional StudiesDatabases, FactualFemaleHumansLipidsMaleTriglyceridesApolipoprotein A-IApolipoproteins BBilirubinCholesterol, HDLLipidsTriglyceridesBilirubinMetabolic syndromeObesityUK Biobank

Identifiers

PMID35436955
PMCPMC9017025
OpenAlexW4224050914

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.