Evidence map›Paper›PMID 36464326›Full record

ArticleEndocrinology, diabetes & metabolism2023

Predictive value of neutrophil-to-lymphocyte ratio for atrial fibrillation and stroke in type 2 diabetes mellitus: The Hong Kong Diabetes Study.

Carlin Chang, Jiandong Zhou, Oscar Hou In Chou, Justin Chan, Keith Sai Kit Leung, Teddy Tai Loy Lee, Wing Tak Wong, Abraham Ka Chung Wai, Tong Liu, Qingpeng Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 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
2.3field-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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Interpretable Machine Learning Models for Predicting Malignant Ventricular Arrhythmia in Patients with Acute ST-Segment Elevation Myocardial Infarction Based on Systemic Inflammation Index.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 8 institutions in 3 countries.

Carlin ChangDepartment of Medicine, Queen Mary Hospital, Pokfulam, Hong Kong, China.
Jiandong ZhouSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong, China.
Oscar Hou In ChouDepartment of Medicine, Queen Mary Hospital, Pokfulam, Hong Kong, China.
Justin ChanDiabetes Research Unit, Cardiovascular Analytics Group, UK Collaboration, Hong Kong, China.
Keith Sai Kit LeungDiabetes Research Unit, Cardiovascular Analytics Group, UK Collaboration, Hong Kong, China.
Teddy Tai Loy LeeEmergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wing Tak WongSchool of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Abraham Ka Chung WaiEmergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Qingpeng ZhangSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong, China.
Sharen LeeDiabetes Research Unit, Cardiovascular Analytics Group, UK Collaboration, Hong Kong, China.
Gary TseTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.ORCID 0000-0001-5510-1253
City University of Hong Kong · HKDiabetes UK · GBQueen Mary Hospital · CNUniversity of Hong Kong · HKAston University · GBChinese University of Hong Kong · HKMedway School of Pharmacy · GBSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeutrophil-to-lymphocyte ratio (NLR) is a routinely available biomarker that reflects systemic inflammation. The study evaluated the predictive value of NLR for ischemic stroke and atrial fibrillation (AF) in patients with type 2 diabetes mellitus.

methodsThis was a population-based cohort study of patients with type 2 diabetes mellitus and complete blood count tests at baseline between 1 January 1st, 2009, and 31 December, 2009, at government-funded hospitals/clinics in Hong Kong. Follow-up was until 31 December, 2019, or death.

resultsA total of 85,351 patients (age = 67.6 ± 13.2 years old, male = 48.8%, follow-up = 3101 ± 1441 days) were included. Univariable Cox regression found that increased NLR at quartiles 2, 3 and 4 was significantly associated with higher risks of new-onset ischemic stroke (hazard ratio [HR]: 1.28 [1.20-1.37], p < .001, HR: 1.41 [1.32-1.51], p < .001 and HR: 1.38 [1.29-1.47], p < .001) and AF (HR: 1.09 [1.02-1.17], p < .015; HR: 1.28 [1.20-1.37], p < .001; HR: 1.39 [1.31-1.49], p < .001) compared to quartile 1. On multivariable analysis, NLR remained a significant predictor of ischemic stroke risk for quartiles 2 and 3 (quartile 2: HR: 1.14 [1.05, 1.22], p = .001; quartile 3: HR: 1.14 [1.06, 1.23], p < .001) but not quartile 4 (HR: 1.08 [0.994, 1.17], p = .070). NLR was not predictive of AF after adjusting for confounders (quartile 2: HR: 0.966 [0.874, 1.07], p = .499; quartile 3: HR: 0.978 [0.884, 1.08], p = .661; quartile 4: HR: 1.05 [0.935, 1.16], p = .462).

conclusionNLR is a significant predictor of new-onset ischaemic stroke after adjusting for significant confounders in Chinese type 2 diabetes patients.

Indexed as

Atrial FibrillationBrain IschemiaDiabetes Mellitus, Type 2Ischemic StrokeStrokeAgedAged, 80 and overCohort StudiesHong KongHumansLymphocytesMaleMiddle AgedNeutrophilsRisk Assessmentatrial fibrillationneutrophil-to-lymphocyte ratiostroke

Identifiers

PMID36464326
PMCPMC9836252
OpenAlexW4310663927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.