Evidence map›Paper›PMID 35706475›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Prognostic Value of the Leuko-Glycemic Index in Acute Myocardial Infarction Patients with or without Diabetes.

Ling-Yao Qi, Han-Xiong Liu, Lian-Chao Cheng, Yan Luo, Si-Qi Yang, Xu Chen, Lin Cai

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. Leukoglycemic Index and Its Prognostic Implications in Diabetic and Nondiabetic Patients with Acute Pulmonary Embolism.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

7 authors at 1 institution in 1 country.

Ling-Yao QiDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Han-Xiong LiuDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Lian-Chao ChengDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Yan LuoDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Si-Qi YangDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Xu ChenDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.
Lin CaiDepartment of Cardiology, The Third People's Hospital of Chengdu Affiliated Hospital of Southwest Jiaotong University, Chengdu, People's Republic of China.ORCID 0000-0003-3146-2251
Third People's Hospital of Chengdu · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The leuko-glycaemic index (LGI) is an index that combines white blood cell count and blood glucose and could be a marker of systemic inflammatory response syndrome. The prognostic value of the LGI in acute myocardial infarction (AMI) is still unclear. We aimed to investigate the prognostic value of the LGI for short- and long-term prognosis in AMI patients with different diabetic status. Patients and Methods: This was an observational, multicenter study involving 1256 AMI patients admitted in 11 hospitals between March 2014 and June 2019 in Chengdu. White blood cell count and blood glucose were measured on admission. The LGI was calculated by multiplying both values and dividing them by a thousand. Logistic regression was used to explore the predictive value of LGI in in-hospital mortality. Receiver operating characteristic curve was used to determine the optimal cut-off values of the LGI to predict in-hospital mortality. The patients were classified into diabetic and non-diabetic groups and further divided into higher and lower LGI subgroups according to the optimal cut-off values. The endpoints were all-cause mortality during the hospitalization and major adverse cardiovascular and cerebrovascular events (MACCE) during follow-up, including all-cause mortality, non-fatal myocardial infarction, vessel revascularization and non-fatal stroke. Results: LGI was an independent predictor of all-cause mortality during the hospitalization in non-diabetics, but not in diabetics. The optimal cut-off values of diabetics and non-diabetics were 3593 mg/dl. mm Conclusion: LGI was an independent predictor for short- and long-term prognosis in AMI patients without diabetes, but had no prognostic value for short- and long-term prognosis of AMI patients with diabetes.

Indexed as

acute myocardial infarctionin-hospital mortalityleuko-glycemic indexlong-term prognosisprediction

Identifiers

PMID35706475
PMCPMC9191833
OpenAlexW4285740853

What OpenQuestion holds

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Registered trials

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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.