Evidence map›Paper›PMID 34472717›Full record

ReviewNursing open2021

Comparative efficacy of non-pharmacological interventions on behavioural and psychological symptoms in elders with dementia: A network meta-analysis.

Wenjie Li, Xiaofeng Xu, Fen Wu, Yuanyuan Ni, Jun Lan, Xiuying Hu

Erratum issuedAbstract readReviewNetwork Meta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Review in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Trial
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  12. Corrigendum.Nursing open · 2022
    Article
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Wenjie LiWest China School of Nursing, Sichuan University, Chengdu, China.
Xiaofeng XuTrauma Center Ward 2 of West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Fen WuWest China School of Nursing, Sichuan University, Chengdu, China.
Yuanyuan NiSchool of Nursing, Changzhi Medical College, Shanxi, China.
Jun LanDepartment of Orthopedics Surgery, Chongqing General Hospital, University of Chinese Academy of Sciences (UCAS), Beijing, China.
Xiuying HuInnovation Center of Nursing Research, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-1470-4108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the best non-pharmaceutical interventions for improving the behavioural and psychological symptoms in elders with dementia.

designBayesian network meta-analysis.

methodsA comprehensive electronic literature search was performed in five English databases and four Chinese databases to identify relevant randomized controlled trials (RCTs) that were published up to 31 October 2019.

resultsA total of 41 RCTs were included in this network meta-analysis involving 5 different non-pharmacological interventions: therapeutic recreation (TC), reminiscence therapy (RT), behaviour therapy (BT), massage therapy (MT) and individualized nursing (IN).The results of network meta-analysis showed that individualized nursing was the best in improving depression, cognitive function, and activities of daily living of behavioural and psychological symptoms of dementia. Behaviour therapy was the best in improving anxiety symptoms. Reminiscence therapy was the best in improving neuropsychiatric symptoms.

Indexed as

DementiaAgedAnxietyDepressionHumansPsychotherapybehavioural and psychological symptomsdementianetwork meta-analysisnon-pharmacological interventions

Identifiers

PMID34472717
PMCPMC8510770

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.