Evidence map›Paper›PMID 34130689›Full record

Trial reportBMC medicine2021

The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL.

Zhijun Wu, Zhe Huang, Alice H Lichtenstein, Yesong Liu, Shuohua Chen, Yao Jin, Muzi Na, Le Bao, Shouling Wu, Xiang Gao

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.4field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 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

10 authors at 4 institutions in 2 countries.

Zhijun Wu *Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Zhe Huang *Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China.
Alice H LichtensteinCardiovascular Nutrition Laboratory, JM USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Yesong LiuDepartment of Neurology, Kailuan General Hospital, Tangshan, People's Republic of China.
Shuohua ChenHealth Care Center, Kailuan Medical Group, Tangshan, People's Republic of China.
Yao JinDepartment of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Muzi NaDepartment of Nutritional Sciences, The Pennsylvania State University, State College, PA, USA.
Le BaoDepartment of Statistics, The Pennsylvania State University, 109 Chandlee Lab, State College, University Park, PA, 16802, USA.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China. drwusl@163.com.
Xiang GaoDepartment of Nutritional Sciences, The Pennsylvania State University, State College, PA, USA. xxg14@psu.edu.
Kailuan General Hospital · CNPennsylvania State University · USRuijin Hospital · CNTufts University · US

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
NIAID NIH HHS R01 AI136664
6 · The paper itself

Abstract

backgroundThe risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method.

methodsThe training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856).

resultsDuring a mean 8.5-9.0-year follow-up period, we identified 388 ischemic stroke cases and 145 hemorrhagic stroke cases in the training dataset and 20 ischemic stroke cases and 8 hemorrhagic stroke cases in the validation dataset. Of 15 examined predictors, poorly controlled blood pressure and very low LDL-C concentrations (≤ 40 mg/dL) were the top hierarchical predictors of both ischemic stroke risk and hemorrhagic stroke risk. The groups, characterized by the presence of 2-3 of aforementioned risk factors, were associated with a higher risk of ischemic stroke (hazard ratio (HR) 7.03; 95% confidence interval (CI) 5.01-9.85 in the training dataset; HR 4.68, 95%CI 1.58-13.9 in the validation dataset) and hemorrhagic stroke (HR 3.94, 95%CI 2.54-6.11 in the training dataset; HR 4.73, 95%CI 0.81-27.6 in the validation dataset), relative to the lowest risk groups (presence of 0-1 of these factors). There was a linear association between cumulative average LDL-C concentrations and stroke risk. LDL-C concentrations ≤ 40 mg/dL was significantly associated with increased risk of ischemic stroke (HR 2.07, 95%CI 1.53, 2.80) and hemorrhagic stroke (HR 2.70, 95%CI 1.70, 4.30) compared to LDL-C concentrations of 55-70 mg/dL, after adjustment for age, hypertension status, and other covariates.

conclusionIndividuals with extremely low LDL-C concentrations without previous lipid-modifying treatment could still be at high stroke risk.

trial registrationChinese Clinical Trial Register, ChiCTR-TNRC-11001489 . Registered on 24-08-2011.

Indexed as

Brain IschemiaHemorrhagic StrokeIschemic StrokeStrokeAdultChinaCholesterol, LDLHumansRisk FactorsCholesterol, LDLConditional inference treeLow-density lipoprotein cholesterolMachine learningMetabolic diseasesStroke

Identifiers

PMID34130689
PMCPMC8207613
OpenAlexW3166341929

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.