Evidence map›Paper›PMID 41589208›Full record

ArticleHepatology forum2026

Future burden of MASLD in the United States: A state-level forecasting study, 2022-2050.

Thanathip Suenghataiphorn, Kanachai Boonpiraks, Vitchapong Prasitsumrit, Narathorn Kulthamrongsri, Pojsakorn Danpanichkul

Abstract read
In one paragraph

Article in Hepatology forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Thanathip SuenghataiphornDepartment of Internal Medicine, Griffin Hospital, Connecticut, United States.
Kanachai BoonpiraksUniversity of Kansas Medical Center, Kansas City, United States.
Vitchapong PrasitsumritDepartment of Internal Medicine, Texas Tech University Health Science Center, Texas, United States.
Narathorn KulthamrongsriUniversity of Hawaii, Honolulu, Hawaii, United States.
Pojsakorn DanpanichkulDepartment of Internal Medicine, Texas Tech University Health Science Center, Texas, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The rising prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) poses a significant public health challenge, yet the future burden at a subnational level is poorly quantified. State-specific projections are crucial for guiding policy, resource allocation, and targeted public health interventions. We project the future burden of MASLD by state to 2050. Materials and Methods: We developed a state-level forecasting model using data from the Global Burden of Disease (GBD) 2021 study and state-level population projections from the Weldon Cooper Center. For each state, historical age- and sex-specific MASLD DALY rates (1990-2021) were projected to 2050 using automatic ARIMA/ETS time-series forecasting. Projected rates were then applied to annual state population projections to estimate the absolute DALY burden. Associated direct healthcare costs were calculated using a derived national-average cost per MASLD DALY, discounted at 3% annually. A probabilistic sensitivity analysis (PSA) with 1,000 iterations was performed to quantify uncertainty in baseline DALY rates and costs. Results: Over the projection period (2022-2050), the total discounted MASLD burden in the U.S. is projected to be 5.5 million DALYs, with associated healthcare costs exceeding $2.3 trillion. The absolute burden is concentrated in the most populous states, with California (Mean DALYs: 444,363; 95% UI: 395,767-494,159), Texas (386,956; 95% UI: 337,640-435,164), and Florida (311,884; 95% UI: 275,974-347,758) projected to have the highest lifetime burdens. However, DALY rates per 100,000 population are projected to be highest in states within the South and Appalachia. Conclusion: The future burden of MASLD in the United States is projected to be substantial, growing, and geographically unequal, with distinct hotspots of high per-capita burden and divergent future trends. These state-level projections underscore the urgent need for tailored, regional public health strategies and provide essential data to inform state-level policy and resource allocation to address the escalating MASLD epidemic.

Indexed as

DALYeconomic modelglobal burden of disease (GBD)MASLDstate-variation

Identifiers

PMID41589208
PMCPMC12831989

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.