Evidence map›Paper›PMID 39623966›Full record

ArticleJournal of Korean medical science2024

Global, Regional, and National Trends in Liver Disease-Related Mortality Across 112 Countries From 1990 to 2021, With Projections to 2050: Comprehensive Analysis of the WHO Mortality Database.

Jong Woo Hahn, Selin Woo, Jaeyu Park, Hyeri Lee, Hyeon Jin Kim, Jae Sung Ko, Jin Soo Moon, Masoud Rahmati, Lee Smith, Jiseung Kang and 12 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Racial Discrimination and Multiple Health Outcomes: An Umbrella Review of Systematic Reviews and Meta-Analyses.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Deciphering the role ofWorld journal of hepatology · 2025
    Review
  13. Article
  14. Article
  15. 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

22 authors.

Jong Woo Hahn *Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6331-1314
Selin Woo *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7961-2074
Jaeyu Park *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-2009-386X
Hyeri LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0009-3132-1062
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1286-4669
Jae Sung KoDepartment of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3064-2974
Jin Soo MoonDepartment of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9760-297X
Masoud RahmatiAssistance Publique-Hopitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.ORCID https://orcid.org/0000-0003-4792-027X
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.ORCID https://orcid.org/0000-0002-5340-9833
Jiseung KangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-3734-7572
Damiano PizzolHealth Unit Eni, Maputo, Mozambique.ORCID https://orcid.org/0000-0003-4122-0774
Mark A TullySchool of Medicine, Ulster University, Londonderry, Northern Ireland, UK.ORCID https://orcid.org/0000-0001-9710-4014
Elena DragiotiResearch Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.ORCID https://orcid.org/0000-0001-9019-4125
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0002-9897-5273
Kwanjoo LeeDepartment of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0002-6178-2400
Yeonjung HaDepartment of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0002-3594-3688
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University College of Electronics and Information, Yongin, Korea.ORCID https://orcid.org/0000-0002-8580-490X
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0000-2403-6241
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0119-5818
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0001-3939-2983
Soeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0009-5874-417X
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1628-9948

Funding

Ministry of Food and Drug Safety 21153MFDS601Ministry of Science and ICT, South Korea IITP-2024-RS-2024-00438239National Research Foundation of Korea RS-2023-00248157
6 · The paper itself

Abstract

backgroundLiver disease causes over two million deaths annually worldwide, comprising approximately 4% of all global fatalities. We aimed to analyze liver disease-related mortality trends from 1990 to 2021 using the World Health Organization (WHO) Mortality Database and forecast global liver disease-related mortality rates up to 2050.

methodsThis study examined age-standardized liver disease-related death rates from 1990 to 2021, employing data from the WHO Mortality Database across 112 countries across five continents. The rates over time were calculated using a locally weighted scatter plot smoother curve, with weights assigned based on the population of each country. Furthermore, this study projected liver disease-related mortality rates up to 2050 using a Bayesian age-period-cohort (BAPC) model. Additionally, a decomposition analysis was conducted to discern influencing factors such as population growth, aging, and epidemiological changes.

resultsThe estimated global age-standardized liver disease-related mortality rates surged significantly from 1990 to 2021 across 112 countries, rising from 103.4 deaths per 1,000,000 people (95% confidence interval [CI], 88.16, 118.74) in 1990 to 173.0 deaths per 1,000,000 people (95% CI, 155.15, 190.95) in 2021. This upward trend was particularly pronounced in low- and middle-income countries, in Africa, and in populations aged 65 years and older. Moreover, age-standardized liver disease-related mortality rates were correlated with a lower Human Development Index (

conclusionGlobal age-standardized liver disease-related mortality has increased significantly and continues to emerge as a crucial global public health issue. Further investigation into liver disease-related mortality rates in Africa is needed, and updating policies is necessary to effectively manage the global burden of liver disease.

Indexed as

Bayes TheoremDatabases, FactualLiver DiseasesWorld Health OrganizationAdultAgedFemaleGlobal HealthHumansMaleMiddle AgedMortalityGlobal TrendLiver DiseaseMortalityPrediction ModelWHO Mortality Database

Identifiers

PMID39623966
PMCPMC11611658

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.