Evidence map›Paper›PMID 37038922›Full record

ReviewThe Journal of international medical research2023

Utility of neutrophil-to-high-density lipoprotein-cholesterol ratio in patients with coronary artery disease: a narrative review.

Pratik Lamichhane, Anushka Agrawal, Yasmeen Abouainain, Salma Abousahle, Prakash Raj Regmi

Open access · goldAbstract readReview
In one paragraph

Review in The Journal of international medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 30 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

5 authors at 3 institutions in 3 countries.

Pratik LamichhaneMaharajgunj Medical Campus, Institute of Medicine, Kathmandu, Nepal.ORCID 0000-0002-3460-9899
Anushka AgrawalMaharajgunj Medical Campus, Institute of Medicine, Kathmandu, Nepal.
Yasmeen AbouainainFaculty of Medicine, University of Jordan, Amman, Jordan.
Salma AbousahleFaculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.
Prakash Raj RegmiNepal Heart Foundation, Kathmandu, Nepal.
Tribhuvan University Teaching Hospital · NPUniversity of Hassan II Casablanca · MAUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neutrophil-to-high-density lipoprotein-cholesterol ratio (NHR) is thought to reflect inflammatory status and dyslipidaemia, both of which play significant roles in coronary artery disease (CAD). The objective of this narrative review is to summarise the results of studies that have explored the utility of NHR for the diagnosis and management of CAD. The PubMed, Google Scholar, Scopus, Embase and Web of Science databases were searched for articles related to NHR from their inception to October 2022. Seven relevant articles were obtained for review. There were unclear relationships of NHR with age, sex, smoking status, hypertension and diabetes. However, NHR had a sensitivity and specificity as high as 94.8% and 59%, respectively, for the identification of significant coronary stenosis. NHR was also a superior predictor of prognosis to conventional parameters. NHR had a sensitivity and specificity as high as 77.6% and 74.2%, respectively, for the prediction of adverse events, including mortality, associated with acute coronary syndrome. Thus, NHR could be used in clinical cardiovascular medicine for risk stratification and the prediction of the short-term and long-term outcomes of CAD. However, more studies are required before a quantitative assessment of the efficacy of NHR for use in patient management can be completed.

Indexed as

Coronary Artery DiseaseCoronary StenosisCholesterol, HDLHumansNeutrophilsRisk FactorsCholesterol, HDLAcute myocardial infarctionatherosclerosiscoronary artery diseasehigh-density lipoproteinneutrophilpredictor

Identifiers

PMID37038922
PMCPMC10107976
OpenAlexW4364353785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.