Evidence map›Paper›PMID 31590645›Full record

ArticleBMC geriatrics2019

Braden scale for assessing pneumonia after acute ischaemic stroke.

Yunlong Ding, Yazhou Yan, Jiali Niu, Yanrong Zhang, Zhiqun Gu, Ping Tang, Yan Liu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  9. Braden scale for predicting pneumonia after spontaneous intracerebral hemorrhage.Revista da Associacao Medica Brasileira (1992) · 2022
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  10. Review
  11. Use of the Braden Scale to Predict Injury Severity in Mass Burn Casualties.Medical science monitor : international medical journal of experimental and clinical research · 2022
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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

7 authors at 2 institutions in 1 country.

Yunlong DingDepartment of Neurology, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, No. 28, Zhongzhou Road, Jingjiang, CN 214500, Jiangsu, China.
Yazhou YanDepartment of Neurosurgery, Changhai Hospital affiliated to the Second Military Medical University, Shanghai, China.
Jiali NiuDepartment of Clinical Pharmacy, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, Jingjiang, Jiangsu, China.
Yanrong ZhangDepartment of Neurology, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, No. 28, Zhongzhou Road, Jingjiang, CN 214500, Jiangsu, China.
Zhiqun GuDepartment of Neurology, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, No. 28, Zhongzhou Road, Jingjiang, CN 214500, Jiangsu, China.
Ping TangDepartment of Neurology, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, No. 28, Zhongzhou Road, Jingjiang, CN 214500, Jiangsu, China. tangping12345678@sina.com.
Yan LiuDepartment of Neurology, Jingjiang People's Hospital, the Seventh Affiliated Hospital of Yangzhou University, No. 28, Zhongzhou Road, Jingjiang, CN 214500, Jiangsu, China. liuyan151617@163.com.ORCID 0000-0002-3367-7590
First People's Hospital of Jingzhou · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevention of pneumonia is critical for patients with acute ischaemic stroke (AIS). The six subscales in the Braden Scale seem to be related to the occurrence of pneumonia. We aimed to evaluate the feasibility of using the Braden Scale to predict the occurrence of pneumonia after AIS.

methodsWe studied a series of consecutive patients with AIS who were admitted to the hospital. The cohort was subdivided into pneumonia and no pneumonia groups. The scores on the Braden Scale, demographic characteristics and clinical characteristics were obtained and analysed by statistical comparisons between the two groups. We investigated the predictive validity of the Braden Scale by receiver operating characteristic (ROC) curve analysis.

resultsA total of 414 patients with AIS were included in this study. Of those 414 patients, 57 (13.8%) patients fulfilled the criteria for post-stroke pneumonia. There were significant differences in age and histories of chronic obstructive pulmonary disease (COPD), dysphagia and Glasgow Coma Scale (GCS) score between the two groups, and the National Institutes of Health Stroke Scale (NIHSS) score in the pneumonia group was significantly higher than that in the no pneumonia group (P < 0.01). The mean score on the Braden Scale in the pneumonia group was significantly lower than that in the no pneumonia group (P < 0.01). The six subscale scores on the Braden Scale were all significantly different between the two groups. The area under the curve (AUC) for the Braden Scale for the prediction of pneumonia after AIS was 0.883 (95% CI = 0.828-0.937). With 18 points as the cutoff point, the sensitivity was 83.2%, and the specificity was 84.2%.

conclusionThe Braden Scale with 18 points as the cutoff point is likely a valid clinical grading scale for predicting pneumonia after AIS at presentation. Further studies on the association of the Braden Scale score with stroke outcomes are needed.

Indexed as

AgedAged, 80 and overBrain IschemiaCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedPneumoniaPredictive Value of TestsRetrospective StudiesRisk AssessmentROC CurveStrokeAcute ischaemic strokePneumoniaThe Braden scale

Identifiers

PMID31590645
PMCPMC6781366
OpenAlexW2977406787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.