Evidence map›Paper›PMID 37679730›Full record

Observational studyBMC neurology2023

Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke.

Yang Zhou, Yufan Luo, Huazheng Liang, Ping Zhong, Danhong Wu

Abstract readObservational Study
In one paragraph

Observational study in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

5 authors.

Yang ZhouEmergency Department, Shaoxing People's Hospital, Shaoxing, Zhejiang Province, China.
Yufan LuoDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, 801 Heqing Road, Minhang District, Shanghai, 200240, China.
Huazheng LiangMonash Suzhou Research Institute, Suzhou Industrial Park, Suzhou, Jiangsu Province, China.
Ping ZhongDepartment of Neurology, Shanghai Yangpu District Shidong Hospital, 999 Shiguang Road, Yangpu District, Shanghai, 200438, China. zphgl@163.com.
Danhong WuDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, 801 Heqing Road, Minhang District, Shanghai, 200240, China. Danhongwu@fudan.edu.cn.

Funding

Beijing Health Alliance Charitable Foundation B21088CSCooperation Programme of Fudan University - Minhang District Joint Health Center 2021FM22Shanghai Committee of Science and Technology 20S31904400Shanghai Minhang District Health and Family Planning Commission 2020MWDXK01Shaoxing Basic Public Welfare Program 2022A14018Zhejiang Medical Science and Technology Project 2023RC287
6 · The paper itself

Abstract

background and purposeThe low-grade inflammation (LGI) score, a novel indicator of chronic LGI, combines C-reactive protein (CRP), leukocyte counts, the neutrophil/lymphocyte ratio (NLR), and the platelet (PLT) count to predict outcomes of patients with various conditions, such as cardiovascular diseases, cancers, and neurodegenerative diseases. However, few studies have examined the role of the LGI score in predicting functional outcomes of patients with ischemic stroke. The present study aimed to evaluate the association between the LGI score and functional outcomes of patients with ischemic stroke.

methodsA total of 1,215 patients were screened in the present study, and 876 patients were finally included in this retrospective observational study based on the inclusion and exclusion criteria. Blood tests were conducted within 24 h of admission. Severity of ischemic stroke was assessed using the NIHSS score with severe stroke denoted by NIHSS > 5. Early neurological deterioration (END) was defined as an increment in the total NIHSS score of ≥ 2 points within 7 days after admission. Patient outcomes were assessed on day 90 after stroke onset using the modified Rankin Scale (mRS).

resultsThe LGI score was positively correlated with baseline and the day 7 NIHSS scores (R2 = 0.119, p < 0.001;R2 = 0.123, p < 0.001). Multivariate regression analysis showed that the LGI score was an independent predictor of stroke severity and END. In the crude model, the LGI score in the fourth quartile was associated with a higher risk of poor outcomes on day 90 compared with the LGI score in the first quartile (OR = 5.02, 95% CI: 3.09-8.14, p for trend < 0.001). After adjusting for potential confounders, the LGI score in the fourth quartile was independently associated with poor outcomes on day 90 (OR = 2.65, 95% CI: 1.47-4.76, p for trend = 0.001). Finally, the ROC curve analysis showed an AUC of 0.682 for poor outcomes on day 90 after stroke onset.

conclusionThe LGI score is strongly correlated with the severity of acute ischemic stroke and that the LGI score might be a good predictor for poor outcomes on day 90 in patients with acute ischemic stroke.

Indexed as

Cardiovascular DiseasesIschemic StrokeStrokeC-Reactive ProteinHumansInflammationC-Reactive ProteinFunctional outcomesInflammationIschemic strokeLow-grade inflammation score

Identifiers

PMID37679730
PMCPMC10483771

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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.