Evidence map›Paper›PMID 31802712›Full record

ArticleThe Journal of international medical research2020

AND score: a simple tool for predicting infection in acute ischemic stroke patients without a ventilator in the Chinese population.

Jiaoxing Li, Yufang Wang, Xunsha Sun, Jing Lin, Rong Lai, Jie Liang, Xiaoxin Wu, Wenli Sheng

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PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Post-stroke Dysphagia: Recent Insights and Unanswered Questions.Current neurology and neuroscience reports · 2020
    Review
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.

Jiaoxing LiDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yufang WangDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xunsha SunDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jing LinDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Rong LaiDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jie LiangDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoxin WuDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenli ShengDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-6867-371X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to develop a simple and user-friendly scoring system to predict all-cause hospital-acquired infections (HAIs) after acute ischemic stroke (AIS) in the Chinese population.

methodsAIS patients from a retrospective cohort study at our center were included from January 2016 to December 2018. HAIs were diagnosed based on the current criteria from Ministry of Health of the People's Republic of China. Stepwise logistic regression models were performed to screen independent predictors of HAI after AIS. A scoring system was developed by including each of the above significant predictors.

resultsAmong 1211 patients, 76 patients (6.28%) developed HAI. Age, baseline National Institute of Health stroke scale (NIHSS) score, and dysphagia were independent predictors of HAI. For the AND score, A refers to age, N refers to NIHSS, and D refers to dysphagia. The AND score showed a high area under the receiver operating characteristics (AUROC) curve (0.679), which comprised age (65-74 years was 4 points, 75-84 years was 6 points, ≥85 years was 8 points), NIHSS score ≥10 (5 points), and dysphagia (6 points).

conclusionsWe developed a simple scoring system to predict all-cause infections after AIS patients without a ventilator in the Chinese population.

Indexed as

Brain IschemiaIschemic StrokeStrokeAgedChinaHumansPredictive Value of TestsRegistriesRetrospective StudiesVentilators, MechanicalAcute ischemic strokeAND scoredysphagiahospital-acquired infectionNIHSS scoreprediction

Identifiers

PMID31802712
PMCPMC7783280

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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.