Evidence map›Paper›PMID 29130563›Full record

ArticleJournal of clinical laboratory analysis2018

Serum lipoprotein and RBC rigidity index to predict cerebral infarction in patients with carotid artery stenosis.

Zhiwu Dong, Qiang Guo, Li Sun, Feifei Li, Aihong Zhao, Jingfan Liu, Peipei Qu, Qinghua Zhu, Chunhai Xiao, Fusheng Niu and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Association Between Ghrelin Gene Polymorphism and Cerebral Infarction.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  7. 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

11 authors at 2 institutions in 1 country.

Zhiwu DongDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.ORCID http://orcid.org/0000-0002-3792-9556
Qiang GuoDepartment of Ultrasound Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Li SunDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Feifei LiDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Aihong ZhaoDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Jingfan LiuDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Peipei QuDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Qinghua ZhuDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Chunhai XiaoDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Fusheng NiuDepartment of Neurology, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Shuang LiangDepartment of Laboratory Medicine, Jinshan Branch of Shanghai 6th People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Shanghai Ninth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to determine the risk factors and to predict the occurrence of cerebral infarction in patients with carotid artery stenosis.

methodsTwo hundred and one subjects with carotid artery stenosis were retrospectively selected from Jinshan Branch of Shanghai Sixth People's Hospital, 115 cases of which with cerebral infarction and 86 without it. Clinical tests were performed including coagulation indices, fasting glucose, serum lipid, and blood rheology. Logistic regression analyses were used to identify the risk factors. Regression model was established, and receiver operating characteristic (ROC) curve was applied to analyze its diagnostic value.

resultsOur data indicated that apolipoprotein AI (OR = 0.051, 95% CI: 0.009-0.295), lipoprotein (a) (OR = 1.003, 95% CI: 1.001-1.005), and RBC rigidity index (OR = 0.383, 95% CI: 0.209-0.702) were independent risk factors. Area under the curve (AUC) of the regression model = 0.78, with the sensitivity of 73.9% (95% CI: 64.9%-81.7%) and specificity of 69.2% (95% CI: 52.4%-83.0%). Prediction probability was determined while logistic regression score >0.748 defaulted as high-risk status. High-risk ratios were 80% in progressive cerebral infarction and 72% in nonprogressive cerebral infarction (P > .05), respectively, while significant differences were found when both compared with controls (P < .001).

conclusionsWe show herein that the regression model based on apolipoprotein AI, lipoprotein (a), and RBC IR is a promising tool to predict the occurrence of cerebral infarction in patients with carotid artery stenosis. However, identification of novel diagnostic markers for progressive cerebral infarction is still necessary.

Indexed as

Cerebral InfarctionAgedAged, 80 and overCarotid StenosisCase-Control StudiesErythrocyte IndicesErythrocytesFemaleHumansLipoproteinsMaleMiddle AgedRisk FactorsROC CurveLipoproteinsapolipoprotein AIblood rheologycerebral infarctionlipoprotein (a)logistic regression analysis

Identifiers

PMID29130563
PMCPMC6817147
OpenAlexW2768029136

What OpenQuestion holds

Textmetadata
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.