Evidence map›Paper›PMID 40296051›Full record

SynthesisBMC psychiatry2025

Evaluating the Chinese versions of delirium assessment scales: a diagnostic systematic review.

Chen Tang, Jun Zhong, Xiaojiao Wang, Fangfang Zhu, Bei Wang, Yanting Zhang, Deying Hu

Abstract readSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
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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

7 authors.

Chen TangDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jun ZhongDepartment of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Xiaojiao WangDepartment of Nursing, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Fangfang ZhuDepartment of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Bei WangDepartment of Nursing, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yanting ZhangDepartment of Intensive Care Unit, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Deying HuDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. Hudeying2006@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study is to examine the validity, reliability and methodological quality of delirium scales that have been translated and adapted in China using quality assessment tools.

methodsA comprehensive search was conducted in PubMed, Embase, Web of Science, China Knowledge Network (CNKI), VIP database, Wanfang database, and China Biomedical Literature Database. The search covered the period from the establishment of the database until September 1, 2023. Two researchers independently screened the literature and extracted data. Studies were included if they focused on the translation of a delirium scale from English into simplified or traditional Chinese, with a study population aged ≥ 18 years and full text available. The risk of bias was assessed through the QUADAS-2 instrument. Level of evidence recommendation is completed with the GRADE and performed with GRADE GPT. Due to high heterogeneity across studies, a random-effects model was applied to calculate diagnostic accuracy indicators (sensitivity, specificity, and area under the curve index). This study has registered in the prospero.

resultsThirteen studies were included, of which 2 were case-control studies and 11 were cross-sectional studies. These studies involved 13 adult delirium assessment tools, and were all translated following the Brislin or ISPOR principle. The results of the methodological quality assessment showed that 3D-CAM, 4AT, CAM-ICU, CAM-ICU-7, and S-PTD had higher quality ratings, with 4AT being the highest quality. 4AT, CAM, 3D-CAM, CAM-CR, CAM-ICU, CAM-ICU-7, and Nu-DESC were recommended at a level B. The Cronbach's coefficient of most studies is over 0.8, and the inter-rater reliability of most studies is near or over 0.9, indicating good internal consistency and stability. Besides, a significant inverse correlation was found between these 13 Chinese-adapted delirium scales and their reference tests, with most studies were over 0.7, and especially 3 studies offered S-CVI and I-CVI value that were all larger than 0.9, indicating a good discriminate validity and content validity, though different cut-off points were recommended by different scales. Moreover, the sensitivity and specificity of these studies were mainly larger than 0.9, which proved the good diagnostic accuracy of these included scales. The pooled sensitivity of 7 Chinese delirium adaption scales that provided statistical data is 0.93 (95% CI: 0.89-0.96), and the pooled specificity is 0.94 (95% CI: 0.94-0.96), and the AUC is 0.98 (95% CI: 0.96-0.99).

conclusionsThe research on the Chinese adaptation of the delirium scale in China is relatively abundant and of acceptable quality. Taking into account factors of methodological quality and diagnostic accuracy, Chinese-adapted delirium assessment scales such as 3D-CAM, 4AT, CAM, CAM-ICU, CAM-ICU-7, and NuDESC appear to be suitable alternatives to the original English delirium scales and are recommended for use in primary care settings in China. Future research and continuous optimization are needed to improve the scientific rigor and accuracy of these tools, which will help advance the field. No Patient or Public Contribution is considered.

Indexed as

DeliriumPsychiatric Status Rating ScalesChinaHumansReproducibility of ResultsTranslationsAssessment toolsChinese adaptationDelirium

Identifiers

PMID40296051
PMCPMC12039140

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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.