Evidence map›Paper›PMID 29149884›Full record

ArticleBMC neurology2017

Predictors of early-onset post-ischemic stroke depression: a cross-sectional study.

Guilin Meng, Xiaoye Ma, Lei Li, Yan Tan, Xiaohui Liu, Xueyuan Liu, Yanxin Zhao

Abstract read
In one paragraph

Article in BMC neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. State of the science in inflammation and stroke recovery: A systematic review.Annals of physical and rehabilitation medicine · 2022
    Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. From stroke to depression: The need for systematic screening for post-stroke depression.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2024
    Article
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  10. Article
  11. Article
  12. Article
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  15. Review
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  19. Depressed Mood after Stroke: Predictive Factors at Six Months Follow-Up.International journal of environmental research and public health · 2020
    Observational
  20. 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

7 authors.

Guilin MengDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. guilmeng@iu.edu.
Xiaoye MaDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Lei LiDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Yan TanDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Xiaohui LiuDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Xueyuan LiuDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Yanxin ZhaoDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. 1098127350@qq.com.

Funding

Graduate Students, Tongji University 2016020033National Natural Science Foundation of China (CN) 81771131
6 · The paper itself

Abstract

backgroundPost-stroke depression (PSD) seriously affects the rehabilitation of nerve function and quality of life. However, the pathogenesis of PSD is still not clear. This study aimed to investigate the demographic, clinical, and biochemical factors in patients with PSD.

methodsPatients with an acute ischemic stroke, who met the inclusion criteria at Shanghai Tenth People's Hospital from April 2016 to September 2016, were recruited for this study. The stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and the mental state was assessed using Mini-Mental State Examination (MMSE), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA) at 1 week of admission. The patients were divided into PSD and non-PSD groups. The demographic and clinical characteristics, as well as the biochemical factors, were compared between the two groups. A logistic regression analysis was performed to identify the risk factors for depression following stroke.

resultsA total of 83 patients with acute ischemic stroke were recruited. Of these, 36 (43.4%) developed depression. The multivariate logistic regression analysis indicated that high NIHSS [odds ratio (OR): 1.84, 95% confidence interval (CI): 1.09-3.12, P = 0.023] and high HAMD scores (OR: 2.38, 95% CI: 1.61-3.50, P < 0.001) were independent risk predictors for PSD and so were lower dopamine level (OR: 0.64, 95% CI: 0.45-0.91, P = 0.014), lower 5-hydroxytryptamine level (OR: 0.99, 95% CI: 0.98-1.00, P = 0.046), higher tumor necrosis factor-α level (OR: 1.05, 95% CI: 1.00-1.09, P = 0.044), and lower nerve growth factor level (OR: 0.06, 95% CI: 0.01-0.67, P = 0.022).

conclusionsThe identification of higher NIHSS scores, higher HAMD scores, lower dopamine level, lower 5-hydroxytryptamine level, higher tumor necrosis factor-α level, and lower nerve growth factor level might be useful for clinicians in recognizing and treating depression in patients after a stroke.

Indexed as

AgedAged, 80 and overBrain IschemiaChinaCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesQuality of LifeRisk FactorsStrokeAcute ischemic strokeInflammatory cytokineMonoamine neurotransmitterNerve growth factorPost-stroke depression

Identifiers

PMID29149884
PMCPMC5693521

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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.