Evidence map›Paper›PMID 36185478›Full record

ArticleFrontiers in aging neuroscience2022

A nomogram incorporating red blood cell indices to predict post-stroke cognitive impairment in the intracerebral hemorrhage population.

Yongzhe Gu, Fang Wang, Li Gong, Min Fang, Xueyuan Liu

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Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Review
  5. Predicting post-stroke cognitive impairment using electronic health record data.International journal of stroke : official journal of the International Stroke Society · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yongzhe GuDepartment of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Fang WangDepartment of Neurology, The Second People's Hospital of Yibin, West China Yibin Hospital, Sichuan University, Yibin, China.
Li GongDepartment of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Min FangDepartment of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xueyuan LiuDepartment of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-stroke cognitive impairment (PSCI) plagues 20-80% of stroke survivors worldwide. There is a lack of an easy and effective scoring tool to predict the risk of PSCI in intracerebral hemorrhage (ICH) patients. We aimed to develop a risk prediction model incorporating red blood cell (RBC) indices to identify ICH populations at risk of PSCI. Methods: Patients diagnosed with ICH at the stroke center were consecutively enrolled in the study as part of the development cohort from July 2017 to December 2018, and of the validation cohort from July 2019 to February 2020. Univariable and multivariable analyses were applied in the development cohort to screen the patients for PSCI risk factors. Then, a nomogram based on RBC indices and other risk factors was developed and validated to evaluate its performance in predicting PSCI occurrence. Results: A total of 123 patients were enrolled in the development cohort, of which 69 (56.1%) were identified as PSCI, while 38 (63.3%) of 60 patients in the validation cohort were identified as PSCI. According to the multivariate analysis, seven independent risk factors, including three RBC indices (hemoglobin, mean corpuscular volume, RBC distribution width), as well as age, education level, hematoma volume, and dominant-hemisphere hemorrhage were incorporated into the model. The nomogram incorporating RBC indices displayed good discrimination and calibration. The area under the receiver operating characteristic curve was 0.940 for the development cohort and 0.914 for the validation cohort. Decision curve analysis and clinical impact curve showed that the nomogram was clinically useful. Conclusion: RBC indices are independent and important predictors of PSCI. A nomogram incorporating RBC indices can be used as a reasonable and reliable graphic tool to help clinicians identify high cognition impairment-risk patients and adjust individualized therapy.

Indexed as

cognitive impairmentintracerebral hemorrhagenomogramred blood cell indicesrisk factor

Identifiers

PMID36185478
PMCPMC9520004

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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.