Evidence map›Paper›PMID 37113481›Full record

ArticleFrontiers in endocrinology2023

High absolute neutrophil count with type 2 diabetes is associated with adverse outcome in patients with coronary artery disease: A large-scale cohort study.

Jining He, Zhangyu Lin, Chenxi Song, Rui Zhang, Haoyu Wang, Sheng Yuan, Xiaohui Bian, Qiuting Dong, Kefei Dou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Jining HeCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Zhangyu LinCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Chenxi SongCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Rui ZhangCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Haoyu WangCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Sheng YuanCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Xiaohui BianCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Qiuting DongDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kefei DouCardiometabolic Medicine Center, State Key Laboratory of Cardiovascular Disease, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNState Key Laboratory of Cardiovascular Disease

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory processes crucially modulate the development, progression, and outcomes of coronary artery disease (CAD). Since hyperglycemia could alter inflammatory responses, this study aimed to investigate the effect of ANC, a novel and rapidly available inflammatory biomarker, on the prognosis of patients undergoing PCI with or without type 2 diabetes (T2D). Methods: A total of 7,826 patients with CAD hospitalized for PCI at Fuwai Hospital were consecutively recruited. According to the median ANC value, patients were stratified as having high ANC (ANC-H) or low ANC (ANC-L) and were further classified into four groups by T2D. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), including all-cause mortality, myocardial infarction, stroke, and target vessel revascularization. Results: During a median follow-up of 2.4 years, 509 (6.5%) MACCEs were documented. Diabetic patients with increased ANC were at significantly higher risk of MACCEs (aHR, 1.55; 95% CI, 1.21-1.99; P = 0.001) compared to those in the ANC-L/non-T2D group (P for interaction between T2D and ANC categories = 0.044). Meanwhile, multivariable regression analysis demonstrated the highest MACCE risk in diabetic patients with a higher level of ANC than others (P for trend <0.001). Conclusion: This study suggests that stratification of patients with elevated ANC and T2D could provide prognostic information for CAD patients undergoing PCI.

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Percutaneous Coronary InterventionCohort StudiesHumansNeutrophilscoronary artery diseaseneutrophilspercutaneous coronary interventionprognosistype 2 diabetes

Identifiers

PMID37113481
PMCPMC10126907
OpenAlexW4364381065

What OpenQuestion holds

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LicenceCC BY
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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.