Evidence map›Paper›PMID 29694392›Full record

ArticlePloS one2018

Development and validation of a dementia screening tool for primary care in Taiwan: Brain Health Test.

Ping-Huang Tsai, Jian-Liang Liu, Ker-Neng Lin, Chiung-Chih Chang, Ming-Chyi Pai, Wen-Fu Wang, Jen-Ping Huang, Tzung-Jeng Hwang, Pei-Ning Wang

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Ping-Huang TsaiDivision of Neurology, Department of Internal Medicine, National Yang-Ming University Hospital, Yilan, Taiwan.
Jian-Liang LiuDivision of Neurology, Department of Medicine, Taipei City Hospital Heping Fuyou Branch, Taipei, Taiwan.
Ker-Neng LinDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Chiung-Chih ChangDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Ming-Chyi PaiDivision of Behavioral Neurology, Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Wen-Fu WangDepartment of Neurology, Changhua Christian Hospital, Changhua, Taiwan.
Jen-Ping HuangDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.
Tzung-Jeng HwangDepartment of Psychiatry, College of Medicine and National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan.
Pei-Ning WangDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop a simple dementia screening tool to assist primary care physicians in identifying patients with cognitive impairment among subjects with memory complaints or at a high risk for dementia.

designThe Brain Health Test (BHT) was developed by several experienced neurologists, psychiatrists, and clinical psychologists in the Taiwan Dementia Society. Validation of the BHT was conducted in the memory clinics of various levels of hospitals in Taiwan.

participantsAll dementia patients at the memory clinics who met the inclusion criteria of age greater or equal to 50 years were enrolled. Besides the BHT, the Mini-Mental State Examination and Clinical Dementia Rating were used to evaluate the cognition state of the patients and the severity of dementia.

resultsThe BHT includes two parts: a risk evaluation and a cognitive test (BHT-cog). Self or informants reports of memory decline or needing help from others to manage money or medications were significantly associated with cognitive impairment. Among the risk factors evaluated in the BHT, a total risk score greater or equal to 8 was defined as a high risk for dementia. The total score for the finalized BHT-cog was 16. When the cutoff value for the BHT-cog was set to 10 for differentiating dementia and a normal mental state, the sensitivity was 91.5%, the specificity was 87.3%, the positive predictive value was 94.8%, and the negative predictive value was 80.1% The area under the receiver operating characteristic curve between dementia and healthy subjects was 0.958 (95% CI = 0.941-0.975).

conclusionsThe BHT is a simple tool that may be useful in primary care settings to identify high-risk patients to target for cognitive screening.

Indexed as

AgedAged, 80 and overCognitive DysfunctionDementiaDiagnosis, DifferentialEarly DiagnosisFemaleHumansMaleMemory and Learning TestsMental Status and Dementia TestsNeuropsychological TestsPrimary Health CareROC CurveTaiwan

Identifiers

PMID29694392
PMCPMC5918945

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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.