Evidence map›Paper›PMID 39838692›Full record

ArticleCNS neuroscience & therapeutics2025

The Association Between Aspartate Transaminase to Alanine Transaminase Ratio and Perioperative Ischemic Stroke in Patients With Diabetes: A Retrospective Cohort Study.

Siyuan Liu, Binbin Wang, Libin Ma, Huikai Yang, Min Liu, Yuxiang Song, Zhikang Zhou, Jingsheng Lou, Daming Zhou, Jiangbei Cao and 3 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

13 authors.

Siyuan LiuDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Binbin WangNational Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Libin MaDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Huikai YangDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Min LiuDepartment of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yuxiang SongDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Zhikang ZhouDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Jingsheng LouDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Daming ZhouDepartment of Infection Control, JILIN Cancer Hospital, Jilin, China.
Jiangbei CaoDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-1218-4639
Yanhong LiuDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Weidong MiDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID 0000-0002-2404-0555
Yulong MaDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-0982-9571

Funding

Capital Health Research and Development of Special Fund 2022-4-5025Jiangsu Provincial Researh Hospital Fund YJXYY202204-YSC07Nantong Municipal Health Commission QNZ2023004National Key Research and Development Program of China 2018YFC2001901National Natural Science Foundation of China 81801193National Natural Science Foundation of China 82171464National Natural Science Foundation of China 82371469
6 · The paper itself

Abstract

backgroundPatients with diabetes are at a high risk for perioperative ischemic stroke (PIS). The use of biomarkers to identify high-risk patients and predict PIS may provide considerable reference value in clinical decision-making. The aspartate transaminase/alanine transaminase ratio (De Ritis ratio) has been proven to be associated with specific diabetic complications. However, the association between the De Ritis ratio and PIS has not been evaluated in this population. This retrospective cohort study aimed to evaluate the association between the preoperative De Ritis ratio and PIS in patients with type 2 diabetes undergoing noncardiovascular surgery.

methodsData from surgical patients were collected from January 2008 to August 2019. A total of 27,643 patients with type 2 diabetes mellitus (DM) undergoing noncardiovascular surgery under general anesthesia were screened. The optimal De Ritis ratio cutoff value was identified using the receiver operating characteristic (ROC) curve. Logistic regression models were used to evaluate the association between the preoperative De Ritis ratio and PIS. Propensity score matching (PSM), sensitivity analyses, and subgroup analyses were performed to further validate the robustness of this association.

resultsA total of 151 patients experienced PIS. A De Ritis ratio ≥ 1.04 was associated with an elevated risk of PIS after adjusting for baseline characteristics (OR [95% CI]: 2.25 [1.59-3.21]; p < 0.001), intraoperative parameters (2.50 [1.80-3.49]; p < 0.001), and all confounding variables (2.29 [1.61-3.29]; p < 0.001). In the propensity score-matched cohort, the association between the De Ritis ratio and PIS remained significant (2.04 [1.38-3.05]; p < 0.001). These associations were also consistently maintained in the sensitivity and subgroup analyses.

conclusionsAn elevated De Ritis ratio is strongly associated with a higher risk of PIS in patients with type 2 DM undergoing noncardiovascular surgery. This may provide additional information on PIS risk assessment in patients with type 2 DM undergoing noncardiovascular surgery.

Indexed as

Alanine TransaminaseAspartate AminotransferasesDiabetes Mellitus, Type 2Ischemic StrokeAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesAlanine TransaminaseAspartate AminotransferasesBiomarkersalanine transaminase (ALT)aspartate transaminase (AST)De Ritis ratioperioperative ischemic stroketype 2 diabetes mellitus

Identifiers

PMID39838692
PMCPMC11751254

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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 OpenQuestion graph.