Evidence map›Paper›PMID 37407041›Full record

ArticleBMJ open2023

Associations of serum aminotransferase and the risk of all-cause and cause-specific mortality in Chinese type 2 diabetes: a community-based cohort study.

Jian Su, Haoyu Guan, Xikang Fan, Hao Yu, Yu Qin, Jie Yang, Zheng Zhu, Chong Shen, Enchun Pan, Yan Lu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

12 authors at 2 institutions in 1 country.

Jian Su *Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Haoyu Guan *Department of Epidemiology, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-5946-6479
Xikang FanDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Hao YuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yu QinDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID 0000-0002-8973-8540
Jie YangDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Zheng ZhuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Chong ShenDepartment of Epidemiology, Nanjing Medical University, Nanjing, China.
Enchun PanDepartment of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, China.ORCID 0000-0002-7513-3188
Yan LuDepartment of Chronic Disease Prevention and Control, Suzhou Center for Disease Prevention and Control, Suzhou, China.
Jin-Yi ZhouDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Ming WuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China jswuming@vip.sina.com.
Jiangsu Provincial Center for Disease Control and Prevention · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInvestigating the associations of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) with all-cause, cardiovascular disease (CVD) and cancer mortality in a large cohort of community-dwelling patients with type 2 diabetes mellitus (T2DM).

designCommunity-based prospective cohort study conducted between 2013 and 2014.

setting44 selected townships in Changshu and Huai'an City, Jiangsu province, China.

participants20340 participants with T2DM were recruited in Jiangsu province, China.

methodsWe use Cox proportional hazard models to estimate the HR and 95% CIs of associations of serum ALT and AST levels with all-cause and cause-specific mortality. Restricted cubic splines were used to explore the dose-response relationships between ALT and AST levels with mortality.

resultsALT and AST levels were inversely associated with CVD mortality, compared with the lowest quintile (Q1), the multivariable HRs of the highest quintile (Q5) was 0.82 (95% CI: 0.66 to 1.01, p for trend=0.022) and 0.78 (95% CI: 0.63 to 0.96, p for trend=0.022), respectively. Furthermore, the HRs for ALT levels in all-cause mortality were 0.90 (95% CI: 0.79 to 1.01, p for trend=0.018), and the HRs for AST levels in cancer mortality were 1.29 (95% CI: 1.02 to 1.63, p for trend=0.023). Stronger inverse effects of ALT and AST levels on all-cause mortality were observed in the older subgroup and in those with dyslipidaemia (all p for interaction <0.05). Further analysis based on gender showed that the associations between serum aminotransferases and the mortality risk were more significant in women and substantially attenuated in men.

conclusionOur findings suggested patients with T2DM with lower levels of ALT and AST had an increased risk of CVD mortality, which needs confirmation in future clinical trials.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2NeoplasmsAlanine TransaminaseAspartate AminotransferasesCause of DeathCohort StudiesEast Asian PeopleFemaleHumansMaleProspective StudiesRisk FactorsAlanine TransaminaseAspartate Aminotransferasesdiabetes & endocrinologyepidemiologygeneral diabetes

Identifiers

PMID37407041
PMCPMC10335448
OpenAlexW4383228241

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.