A risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features

scientific article published on 7 April 2017

A risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.18632/ONCOTARGET.16907
P932PMC publication ID5609889
P698PubMed publication ID28968957

P2093author name stringShenghua Li
Jun Wang
Jian Lu
Hua Tang
Jianxin Lu
Rui Liu
Qiao Wang
Tian Liu
Yonggui Yuan
Deqin Geng
Xuesong Lu
Kezhong Zhang
Yingying Yue
Haitang Jiang
Aiqin Wu
P2860cites work“Mini-mental state”Q25938989
FUNCTIONAL EVALUATION: THE BARTHEL INDEXQ28201591
Fear and C-reactive protein cosynergize annual pulse increases in healthy adultsQ28387490
Predicting Depression among Patients with Diabetes Using Longitudinal Data. A Multilevel Regression ModelQ31024838
Multiple ecological pathways to extinction in mammalsQ33467777
The Sunnybrook Stroke Study: a prospective study of depressive symptoms and functional outcome.Q34066110
Interobserver agreement for the assessment of handicap in stroke patients.Q34176187
Models of care for late-life depression of the medically ill: examples from chronic obstructive pulmonary disease and strokeQ34747376
A prospective study of the incidence and correlated factors of post-stroke depression in ChinaQ35048148
Statistical Analysis of Method Comparison Data: Testing NormalityQ36518054
Severe adult malaria is associated with specific PfEMP1 adhesion types and high parasite biomass.Q37183753
Machine learning methods without tears: a primer for ecologistsQ37208718
Bone-formers and bone-losers in an archaeological populationQ37340323
A decision-tree approach to the assessment of posttraumatic stress disorder: Engineering empirically rigorous and ecologically valid assessment measuresQ37646076
Effect of psychological interventions on depressive symptoms in long-term rehabilitation after an acquired brain injury: a systematic review and meta-analysisQ38084523
Risk factors for poststroke depression: identification of inconsistencies based on a systematic reviewQ38203076
Post-Stroke Depression: A ReviewQ38674047
A Depression Screening Protocol for Patients With Acute Stroke: A Quality Improvement ProjectQ38948233
Prevalence and predictors of post stroke depression among elderly stroke survivors.Q39458680
In-hospital risk prediction for post-stroke depression: development and validation of the Post-stroke Depression Prediction ScaleQ45353074
Integrating classification trees with local logistic regression in Intensive Care prognosis.Q45966959
Anhedonia and activity deficits in rats: impact of post-stroke depressionQ46533419
Psychological factors determine depressive symptomatology after strokeQ47745201
Effects of IL1B single nucleotide polymorphisms on depressive and anxiety symptoms are determined by severity and type of life stressQ48063682
Depression predictors within six months of ischemic stroke: The DEPRESS StudyQ48064077
Major depression in stroke patients. A 3-year longitudinal studyQ48259109
Major life events as risk factors for post-stroke depressionQ48262470
General and disease-specific risk factors for depression after ischemic stroke: a two-step Cox regression analysisQ48485444
Mediating roles of social support on poststroke depression and quality of life in patients with ischemic strokeQ48790442
Poststroke depression in Chinese patients: frequency, psychosocial, clinical, and radiological determinantsQ49094818
Personality and vulnerability to depression in stroke patients: a 1-year prospective follow-up study.Q51952933
Interrater reliability of the National Institutes of Health Stroke Scale: rating by neurologists and nurses in a community-based stroke incidence study.Q52916568
Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: An Italian multicenter studyQ60647040
A two-year longitudinal study of post-stroke mood disorders: findings during the initial evaluationQ71157186
Frequency, phenomenology and anatomical-clinical correlates of major post-stroke depressionQ73338465
First-stroke recovery process: the role of family social supportQ74005084
Prediction of depressive symptoms up to three years post-strokeQ84750514
P433issue38
P407language of work or nameEnglishQ1860
P304page(s)62891-62899
P577publication date2017-04-07
P1433published inOncotargetQ1573155
P1476titleA risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features
P478volume8

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cites work (P2860)
Q53417601Efficacy of escitalopram oxalate for patients with post-stroke depression.
Q47133238Predictors of early-onset post-ischemic stroke depression: a cross-sectional study
Q90945261Prevalence of pre-stroke depression and its association with post-stroke depression: a systematic review and meta-analysis
Q90412103Use of Patient-Reported Data to Match Depression Screening Intervals With Depression Risk Profiles in Primary Care Patients With Diabetes: Development and Validation of Prediction Models for Major Depression

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