Evidence map›Paper›PMID 39604890›Full record

ArticleBMC public health2024

Associations between serum levels of liver function biomarkers and all-cause and cause-specific mortality: a prospective cohort study.

Shunhu Ling, Haiping Diao, Guangbing Lu, Luhua Shi

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Association between pesticide use and liver injury: A field study in Taiwan.Scandinavian journal of work, environment & health · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Role of ChREBP-PPARα-FGF21 Axis in Metabolic Dysfunction of MASLD.International journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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.

Shunhu LingDepartment of Internal Medicine, Hanshan People's Hospital in Anhui Province, Ma'anshan, 238101, Anhui Province, China.
Haiping DiaoDepartment of Proctology, Hanshan Hospital of Traditional Chinese Medicine in Anhui Province, Ma'anshan, 238101, Anhui Province, China.
Guangbing LuDepartment of Respiration, Meishan Hospital of Traditional Chinese Medicine in Sichuan Province, Meishan, 620010, Sichuan Province, China.
Luhua ShiRenji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. rj_slh@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe liver plays critical roles in human health. Circulating level of liver function biomarkers may associate with the long-term and short-term mortality in general population.

methodsWe used data from US National Health and Nutrition Examination Survey 1988-94 and 1999-2014. People aged ≥ 20 years with measured serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyltransferase (GGT), alkaline phosphatase (ALP), total bilirubin (TB), and albumin (ALB) at baseline were included. All-cause and cause-specific mortality was identified from the National Death Index through 31 December 2015. Additive Cox regression models were applied to assess the correlation patterns between the serum level of these analytes and mortality risk.

resultsA total of 44,508 participants were included; among them, 9,721 deaths occurred during a mean follow-up of 12.5 years. A "J-shaped" correlation was found between serum levels of ALT, AST, and TB and all-cause mortality. The risk of mortality monotonically increased with increasing GGT and ALP levels when their levels exceeded the valley points. A "L-shaped" correlation was found between the serum level of ALB and all-cause mortality. The correlation patterns were comparable among deaths from different causes and were consistent in subgroup and sensitivity analyses. While the integration of all six liver function biomarkers did not yield an optimal predictive performance for mortality (area under ROC curve = 0.706), it demonstrated a significantly better performance compared to any single biomarker..

conclusionCirculating liver function biomarkers showed diverse nonlinear correlations with mortality and may be utilized as part of a screening process to help identify individuals who may be at elevated risk of mortality.

Indexed as

BiomarkersCause of DeathLiver Function TestsNutrition SurveysAdultAgedAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBilirubinFemalegamma-GlutamyltransferaseHumansMaleMiddle AgedMortalityAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBilirubinBiomarkersgamma-GlutamyltransferaseCohort studyLiver enzymeLiver functionMortalityNHANESPrediction

Identifiers

PMID39604890
PMCPMC11600561

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.