Evidence map›Paper›PMID 38082254›Full record

ArticleBMC neurology2023

Clinical value of the low-grade inflammation score in aneurysmal subarachnoid hemorrhage.

Ling Wang, Ling Chen, Yang Jin, Xiangyang Cao, Liujun Xue, Qiantao Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Old Wine in a New Bottle: Vasograde Scale and Biomarkers, Composite Model in Subarachnoid Hemorrhage.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  5. 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

6 authors at 4 institutions in 1 country.

Ling Wang *Department of Neurology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Ling Chen *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yang Jin *Department of Neurology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huaian, Jiangsu, China.
Xiangyang CaoDepartment of Neurology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huaian, Jiangsu, China.
Liujun XueDepartment of Neurology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Qiantao ChengDepartment of Neurology, Huai' an 82 hospital, Huaian, Jiangsu, China. hongtao20030706@126.com.
Second People’s Hospital of Huai’an · CNXuzhou Medical College · CNAnhui Medical University · CNSecond Military Medical University · CN

Funding

Scientific Research Fund of Anhui Medical University 2019xkj149
6 · The paper itself

Abstract

background and purposeMultiple inflammatory biomarkers have been shown to predict symptomatic cerebral vasospasm (SCVS) and poor functional outcome in patients with aneurysmal subarachnoid hemorrhage. However, the impact of the low-grade inflammation (LGI) score, which can reflect the synergistic effects of five individual inflammatory biomarkers on SCVS and poor functional outcome on aneurysmal subarachnoid hemorrhage (aSAH), has not yet been well established. The aim of this study was to evaluate the impact of the LGI score on SCVS and poor functional outcome in aSAH patients.

methodsThe LGI score was calculated as the sum of 10 quantiles of each individual inflammatory biomarker. The association of the LGI score with the risk of SCVS and poor functional outcome was analyzed with multivariate logistical regression.

resultsA total of 270 eligible aSAH patients were included in this study: 74 (27.4%) had SCVS, and 79 (29.3%) had poor functional outcomes. After adjusting for confounders, a higher LGI score was revealed to independently predict SCVS (OR, 1.083; 95% CI, 1.011-1.161; P = 0.024) and poor functional outcome (OR, 1.132; 95% CI, 1.023-1.252; P = 0.016), and the second and third tertile group had higher risk of SCVS than lowest tertile group (OR, 2.826; 95% CI, 1.090-7.327; P = 0.033) (OR, 3.243; 95% CI, 1.258-8.358; P = 0.015). The receiver operating characteristic (ROC) curve uncovered the ability of the LGI score to distinguish patients with and without SCVS (area under the curve [AUC] = 0.746; 95% CI, 0.690-0.797; P < 0.001) and poor functional outcomes (area under the curve [AUC] = 0.799; 95% CI, 0.746-0.845; P < 0.001), the predictive value of LGI on SCVS and poor functional outcome is superior than PLT, NLR and WBC, but there was no statistical difference between LGI and CRP for predicting SCVS (P = 0.567) and poor functional outcome (P = 0.171).

conclusionsA higher LGI which represents severe low grade inflammation status is associated with SCVS and poor functional outcome at 3 months after aSAH.

Indexed as

Subarachnoid HemorrhageVasospasm, IntracranialBiomarkersHumansInflammationBiomarkersAneurysmal subarachnoid HemorrhageLow-grade inflammatory scorePoor functional outcomeSymptomatic cerebral vasospasm

Identifiers

PMID38082254
PMCPMC10712030
OpenAlexW4389566236

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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.