Evidence map›Paper›PMID 37668827›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

Application of the mild behavioral impairment checklist in Chinese patients with the behavioral variant of frontotemporal dementia.

Yue Cui, Li Liu, Min Chu, Kexin Xie, Zhongyun Chen, Haitian Nan, Yu Kong, Tianxinyu Xia, Yingtao Wang, Yihao Wang and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
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

12 authors at 1 institution in 1 country.

Yue CuiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Li LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Min ChuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Kexin XieDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Zhongyun ChenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Haitian NanDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Yu KongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Tianxinyu XiaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Yingtao WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Yihao WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Qianqian HeDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China.
Liyong WuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Beijing, 100053, China. wmywly@hotmail.com.ORCID http://orcid.org/0000-0002-0684-6248
Capital Medical University · CN

Funding

National Natural Science Foundation of China 81971011Natural Science Foundation of Beijing Municipality 7202060
6 · The paper itself

Abstract

backgroundThe mild behavioral impairment checklist (MBI-C) designed to capture neuropsychiatric symptoms in the whole spectrum of elder with or without dementia, have been verified in mild behavioral impairment, mild cognitive impairment and Alzheimer's Disease, but never used in the behavioral variant of frontotemporal dementia (bvFTD).

methodsFifty-two patients with bvFTD (mild, n = 30; moderate-severe, n = 22) and 82 community-dwelling elderly individuals (HCs) were enrolled. All subjects were assessed with a full neuropsychological scale including the MBI-C, Neuropsychiatric Inventory Questionnaire (NPI-Q), and Frontal Behavioral Inventory (FBI). Receiver operating characteristic curves were drawn to analyze the sensitivity and specificity of the MBI-C, NPI-Q, and FBI, and cutoff points were determined using the Youden index.

resultsThe MBI-C and domain scores in all patients with bvFTD were significantly higher than those in HCs. The most common symptoms of bvFTD were apathy (82.7%) and impulse dyscontrol (80.8%). The MBI-C score was positively correlated with the NPI-Q, FBI, and Activities of Daily Living. For differentiating patients with both bvFTD and mild bvFTD from HCs, the optimal MBI-C cutoff point was 5.5 with a sensitivity of 100% and specificity of 82%, and its sensitivity was higher than that of the NPI-Q and FBI.

conclusionThe MBI-C is a sensitive tool for screening behavioral and psychological symptoms in patients with bvFTD, even in the early stages of the disease.

Indexed as

Cognitive DysfunctionFrontotemporal DementiaActivities of Daily LivingAgedChecklistChinaHumansNeuropsychological TestsBehavioral variant of frontotemporal dementiaFrontal behavioral inventoryMild behavioral impairment checklistNeuropsychiatric inventory questionnaireNeuropsychiatric symptoms

Identifiers

PMID37668827
PMCPMC10791978
OpenAlexW4386437789

What OpenQuestion holds

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LicenceCC BY
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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.