Evidence map›Paper›PMID 41080849›Full record

ArticleFrontiers in public health2025

Quantifying depression and the risk of chronic liver diseases: results from a large-scale longitudinal cohort study.

Hailiang Wang, Shuju Zhao, Xueqing Wang, Xiaoyang Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Hailiang Wang *Department of Hepatobiliary Surgery, Zibo First Hospital, Zibo, Shandong, China.
Shuju Zhao *Shandong Daizhuang Hospital, Jining, China.
Xueqing Wang *Shengjing Hospital of China Medical University, Shenyang, China.
Xiaoyang LiuWest China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic liver diseases and depression are both major public health concerns worldwide, particularly among aging populations. However, evidence on the prospective association between depressive symptoms and the risk of developing chronic liver diseases remains limited. The aim of this study is to explore the potential association in middle-aged and older Chinese adults. Methods: Data for this study were obtained from the China Health and Retirement Longitudinal Study (CHARLS), and 11,272 participants without prior liver disease were finally included in this study. Depression was assessed using the CESD-10, with scores analyzed as continuous variables and chronic liver diseases were self-reported based on physician diagnosis. By adjusting for multiple covariates, Cox proportional hazards regression models were used to estimate hazard ratios and restricted cubic spline models were applied to assess the potential non-linear relationships. Findings: Over a mean follow-up period of 6.85 years, a total of 570 participants were finally diagnosed with chronic liver diseases. Multivariate regression analyses revealed a significant association between CESD scores and the risk of liver diseases among study participants even accounting for all potential covariates (HR: 1.020, 95% CI: 1.006-1.033, Conclusion: We identified a significant association between depressive symptoms and subsequent development of chronic liver diseases. Based on observational findings, depressive symptoms may represent a potential early marker of liver disease risk. These findings highlight the importance of integrating mental health assessments into early routine clinical care.

Indexed as

DepressionLiver DiseasesAgedChinaChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsCHARLSchronic liver diseasesdepressionolder adultsrisk factors

Identifiers

PMID41080849
PMCPMC12511029

What Socratic 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 Socratic graph.