Evidence map›Paper›PMID 34196855›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Increased systemic immune-inflammation index can predict respiratory failure in patients with Guillain-Barré syndrome.

Xiping Wu, Haifeng Wang, Guomin Xie, Shuqing Lin, Chang Ji

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  6. An S-like curve relationship between systemic inflammation response index (SIRI) and respiratory failure in GBS patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
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  12. Interpretable Machine Learning Models for Predicting Malignant Ventricular Arrhythmia in Patients with Acute ST-Segment Elevation Myocardial Infarction Based on Systemic Inflammation Index.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

5 authors at 2 institutions in 1 country.

Xiping WuDepartment of Neurology, Ningbo Medical Center Li-Huili Hospital, Ningbo, China.
Haifeng WangDepartment of Neurology, Ningbo Medical Center Li-Huili Hospital, Ningbo, China.
Guomin XieDepartment of Neurology, Ningbo Medical Center Li-Huili Hospital, Ningbo, China.
Shuqing LinDepartment of Neurology, Ningbo Medical Center Li-Huili Hospital, Ningbo, China.
Chang JiDepartment of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 295, Xi Change Road, Kunming, 650032, Yunnan Province, China. Jichang5324888@sina.com.ORCID http://orcid.org/0000-0002-0202-7480
Ningbo Medical Center Lihuili Hospital · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuillain-Barré syndrome (GBS) is a common peripheral neuropathy with relatively heterogenous clinical manifestations. In severe cases, it can result in disabling neuromuscular symptoms and respiratory failure. In this study, we assessed whether the systemic immune-inflammation index (SII) is associated with respiratory failure in GBS patients.

methodsWe retrospectively analyzed clinicopathological data from GBS patients diagnosed in the First Affiliated Hospital of Kunming Medical University. SII was calculated based on counts of neutrophils (N), platelets (P), and lymphocytes (L). Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values for SII, N, P, and L. Univariate and multivariate logistic regression were performed to determine the ability of the SII to predict respiratory failure.

resultsAmong the 369 GBS patients in this study, 61 (16.5%) suffered respiratory failure. Multivariate logistic regression showed that N ≥ 6.03 × 10

conclusionSII may be a novel independent prognostic indicator of respiratory failure in GBS patients, helping physicians identify those at risk in a timely manner.

Indexed as

Guillain-Barre SyndromeRespiratory InsufficiencyHumansInflammationLymphocytesPrognosisRetrospective StudiesGuillain-Barré syndromeRespiratory failureSystemic immune-inflammation index

Identifiers

PMID34196855
OpenAlexW3174046688

What OpenQuestion holds

Textmetadata
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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.