Evidence map›Paper›PMID 39864313›Full record

ArticleClinics (Sao Paulo, Brazil)2025

Difference among frailty assessment tools in predicating postoperative prognosis of elderly patients with mild traumatic brain injury.

Chunhua Ni, Chen Gu, Hua Liu, Feng Cheng, Chao Cheng, Xiaohua Xia

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chunhua NiIntensive Care Unit, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China.
Chen GuIntensive Care Unit, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China.
Hua LiuNeurosurgery Department, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China.
Feng ChengNeurosurgery Department, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China.
Chao ChengEmergency Department, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China.
Xiaohua XiaEmergency Department, Kunshan Hospital Affiliated to Jiangsu University, Qianjin East Road, China. Electronic address: jsuks_xxhua241@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMild Traumatic Brain Injury (mTBI) is quite prevalent in the elderly population, and the authors performed a retrospective analysis regarding the predictive value of frailty assessing tools regarding the prognosis of elderly mTBI patients.

methodsAll the patients underwent assessment of frailty upon admission using five tools including Frailty Phenotype (FP), FRAIL Scale (FS), Edmonton Frailty Scale (EFS), Groningen Frailty Indicator (GFI), and Clinical Frailty Scale (CFS). The predicting potential of tools was analyzed against the prognosis defined by the extended Glasgow Outcome Scale (GOSE).

resultsThe incidence of frailty in elderly patients varies widely among the tools. Multivariate logistic regression analysis showed that only frail conditions defined by FP (p-value = 0.014) and FS (p-value = 0.004) could be employed for predicting unfavorable prognosis defined by GOSE, while frailty defined by CFS (p-value = 0.683), EFS (p-value = 0.301) and GFI (p-value = 0.925) could not. The ROC further showed that FP (AUC = 73.2 %) and FS (AUC = 76.2 %) had moderate power in predicting unfavorable conditions, while CFS (AUC = 46.1 %), EFS (AUC = 55.6 %), and GFI (AUC = 51.5 %) only had low or even no power.

conclusionsFP and FS could be used to predict the unfavorable prognosis associated with mTBI in the elderly population.

Indexed as

Brain ConcussionFrail ElderlyFrailtyGeriatric AssessmentAgedAged, 80 and overFemaleGlasgow Outcome ScaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesClinical frailty scaleElderly populationFrailty indexGlasgow outcome scaleMild Traumatic Brain Injury

Identifiers

PMID39864313
PMCPMC12013161

What Socratic holds

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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 Socratic graph.