Evidence map›Paper›PMID 33942561›Full record

ArticleBrain and behavior2021

Monocyte-to-lymphocyte ratio as a predictor of stroke-associated pneumonia: A retrospective study-based investigation.

Feng Cao, Yu Wan, Chunyan Lei, LianMei Zhong, HongTao Lei, Haimei Sun, Xing Zhong, YaDan Xiao

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  14. Systemic inflammation and immune index predicting outcomes in patients with intracerebral hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
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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

8 authors at 1 institution in 1 country.

Feng CaoDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0001-8032-7924
Yu WanDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Chunyan LeiDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0003-4024-0896
LianMei ZhongDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
HongTao LeiSchool of Public Health, Kunming Medical University, Kunming, China.
Haimei SunDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0001-7885-3722
Xing ZhongDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
YaDan XiaoDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeEarly prediction of stroke-associated pneumonia (SAP) is significant in clinical practice, as it is frequently challenging due to delays in typical clinical manifestations and radiological changes. The monocyte-to-lymphocyte ratio (MLR) has been proposed as an indicator of systemic inflammation and infection. However, none of these studies have focused on the predictive value of the MLR for SAP. We investigated the predictive value of MLR for SAP and investigated its relationship with disease severity.

methodsIn this retrospective study, we assessed 399 consecutive patients with acute stroke. SAP was defined according to the modified Centers for Disease Control and Prevention criteria. The severity of pneumonia was rated using the pneumonia severity index (PSI). MLR was calculated by dividing absolute monocyte counts by absolute lymphocyte counts.

resultsAmong all the patients, SAP occurred in 116 patients (29.1%). White blood cell (WBC), neutrophil, monocyte, and MLR levels in the SAP group were higher than those in the non-SAP group, while lymphocyte levels were lower (p < .05). Multivariable regression analysis revealed that the MLR (OR = 7.177; 95% CI = 1.190-43.292, p = .032) remained significant after adjusting for confounders. The ROC curve showed that the AUC value of MLR for SAP was 0.779, the optimal cutoff value of MLR for SAP was 0.388, with a specificity of 64.7% and sensitivity of 81.3%. The MLR levels were significantly higher in the severe pneumonia group when assessed by PSI (p = .024) than in the mild group. The AUC value of MLR was 0.622 (95% CI = 0.520-0.724, p = .024) in the severe pneumonia group. The optimal cutoff value of MLR was 0.750, with a specificity of 91.0% and a sensitivity of 33.0%.

conclusionsOur study shows that a high MLR is an independent risk factor for SAP and has a predictive value for severe pneumonia in patients with SAP.

Indexed as

PneumoniaStrokeHumansLymphocytesMonocytesPrognosisRetrospective Studiesacute strokeinfectionlymphocytemonocytepneumonia

Identifiers

PMID33942561
PMCPMC8213641
OpenAlexW3157588119

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LicenceCC BY
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Registered trials

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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.