Evidence map›Paper›PMID 37449575›Full record

ArticleJournal of the American Heart Association2023

HS-CRP Modifies the Prognostic Value of Platelet Count for Clinical Outcomes After Ischemic Stroke.

Fanghua Liu, Pinni Yang, Yinan Wang, Mengyao Shi, Ruirui Wang, Qingyun Xu, Yanbo Peng, Jing Chen, Jintao Zhang, Aili Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 15 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

13 authors at 3 institutions in 2 countries.

Fanghua LiuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0002-6543-7022
Pinni YangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0001-7327-3294
Yinan WangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Mengyao ShiDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0002-5883-0416
Ruirui WangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0002-2725-5228
Qingyun XuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Yanbo PengDepartment of Neurology Affiliated Hospital of North China University of Science and Technology Tangshan Hebei China.
Jing ChenDepartment of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA.ORCID 0000-0002-9035-9126
Jintao ZhangDepartment of Neurology The 960th Hospital of People's Liberation Army Jinan Shandong China.
Aili WangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Tan XuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.
Yonghong ZhangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Suzhou Medical College of Soochow University Suzhou China.ORCID 0000-0001-6188-3490
Jiang HeDepartment of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans LA.ORCID 0000-0002-8286-9652
Soochow University · CNTulane University · USNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background We examined whether the relationship between baseline platelet count and clinical outcomes is modulated by HS-CRP (high-sensitivity C-reactive protein) in patients with ischemic stroke. Methods and Results A total of 3267 patients with ischemic stroke were included in the analysis. The primary outcome was a combination of death and major disability at 1 year after ischemic stroke. Secondary outcomes included major disability, death, vascular events, composite outcome of vascular events or death, and an ordered 7-level categorical score of the modified Rankin Scale at 1 year. Multivariate logistic regression and Cox proportional hazards regression models were used to assess the association between the baseline platelet count and clinical outcomes stratified by HS-CRP levels when appropriate. There was an interaction effect of platelet count and HS-CRP on the adverse clinical outcomes after ischemic stroke (all

Indexed as

Brain IschemiaIschemic StrokeStrokeBiomarkersC-Reactive ProteinHumansPlatelet CountPrognosisBiomarkersC-Reactive Proteinacute ischemic strokeHS‐CRP (high‐sensitivity C‐reactive protein)platelet countprognosis

Identifiers

PMID37449575
PMCPMC10382093
OpenAlexW4384339960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.