Evidence map›Paper›PMID 32071823›Full record

ArticlePeerJ2020

Comparison of routine hematological indicators of liver and kidney function, blood count and lipid profile in healthy people and stroke patients.

Xiaofang Cui, Wei Wei, Xiao Qin, Fei Hou, Jin Zhu, Weiyang Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Xiaofang CuiJining Medical University, Jining, Shandong, China.
Wei WeiJining Medical University, Jining, Shandong, China.ORCID 0000-0002-4297-6357
Xiao QinJining Medical University, Jining, Shandong, China.
Fei HouJining Medical University, Jining, Shandong, China.
Jin ZhuJining Medical University, Jining, Shandong, China.
Weiyang LiJining Medical University, Jining, Shandong, China.ORCID 0000-0003-0843-8528
Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

methodsStroke has become a major public health problem worldwide. In this article, we carried out statistical analysis, correlation analysis and principal component analysis (PCA) to evaluate the clinical value of routine hematological indicators in early diagnosis of ischemic stroke using R language.

resultsFor the full blood count comparisons, stroke patients had obvious differences in the distribution width of red blood cells (RDW-CV), average distribution width of red blood cells (RDW-SD), mean hemoglobin concentrations, platelet large cell ratio, mean platelet volume and lymphocytes. Patients with ischemic stroke also exhibited different degrees of abnormalities in liver function test. With respect to renal function, stroke patients had obvious changes in uric acid and urea levels. Finally, when comparing the lipid profile, triglyceride concentrations were increased and high-density lipoprotein cholesterol concentrations were reduced in stroke patients. In addition, correlation analysis among these clinical indicators indicated that there were both common characteristics and differences between patients and health controls. Furthermore, the results of PCA indicated that these clinical indicators could distinguish patients from the healthy controls.

conclusionConventional hematological clinical indicators, such as liver function, renal function, full blood count and lipid concentration profiles highly correlated with the occurrence of ischemic stroke. Therefore, the detection and analyzation of these clinical indicators are of great significance for the prediction of ischemic stroke.

Indexed as

Clinical indicatorsIschemic strokeStroke

Identifiers

PMID32071823
PMCPMC7008814
OpenAlexW3005446939

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.