Evidence map›Paper›PMID 32660292›Full record

ArticleThe Journal of international medical research2020

Evaluation of monocyte-to-high-density lipoprotein cholesterol ratio and monocyte-to-lymphocyte ratio in ischemic stroke.

Huiling Liu, Feng Zhan, Yazhou Wang

Abstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. High-Density Lipoprotein and Heart Failure.Reviews in cardiovascular medicine · 2023
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  13. Observational
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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

3 authors.

Huiling LiuDepartment of Clinical Laboratory, Changzhou Tumor Hospital Affiliated with Soochow University, Jiangsu, China.ORCID https://orcid.org/0000-0003-1423-8282
Feng ZhanDepartment of Clinical Laboratory, Changzhou Tumor Hospital Affiliated with Soochow University, Jiangsu, China.
Yazhou WangDepartment of Clinical Laboratory, Changzhou Tumor Hospital Affiliated with Soochow University, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to evaluate the diagnostic value of the combination of the monocyte-to-high-density lipoprotein cholesterol ratio (MHR) with the monocyte-to-lymphocyte ratio (MLR) in ischemic stroke patients.

methodsThere were 253 patients who were diagnosed with ischemic stroke and 211 healthy subjects enrolled into this retrospective study.

resultMHR and MLR were significantly higher in ischemic stroke patients compared with controls. MHR and MLR remained as independent variables for the presence of ischemic stroke. In receiver operating characteristic analyses, the optimal cut-off values for MHR and MLR were 0.28 and 0.19, respectively. The area under the curve for MHR was 0.777 (sensitivity, 66.01%; specificity, 77.25%), and that for MLR was 0.742 (sensitivity, 70.36%; specificity, 67.77%) in ischemic stroke patients. Moreover, the combination MHR and MLR increased the sensitivity compared with MHR or MLR alone.

conclusionThe present study shows that a high MHR and MLR are each predictive for the risk of ischemic stroke, and together, they exhibit a better diagnostic value compared with each ratio alone.

Indexed as

Brain IschemiaIschemic StrokeStrokeCholesterol, HDLHumansLymphocytesMonocytesRetrospective StudiesCholesterol, HDLdiagnostic valuehigh-density lipoproteinIschemic strokemonocyte-to-high-density lipoprotein cholesterol ratiomonocyte-to-lymphocyte ratiopredictive factor

Identifiers

PMID32660292
PMCPMC7361497

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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.