Evidence map›Paper›PMID 38481598›Full record

ReviewPsychology research and behavior management2024

The Effectiveness of Cognitive Behavioral Therapy-Based Intervention on Improving Sleep-Related Outcomes for People with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Hongjuan Wang, Rongzhi Li, Lin Ge, Fan Xu, James Allen Wiley, Siyuan Tang, Mei Sun

Open access · goldAbstract readReview
In one paragraph

Review in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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 at 4 institutions in 2 countries.

Hongjuan WangXiangya School of Nursing, Central South University, Changsha, Hunan Province, People's Republic of China.
Rongzhi LiXiangya School of Nursing, Central South University, Changsha, Hunan Province, People's Republic of China.
Lin GeDepartment of Alcohol Addiction and Internet Addiction, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan Province, People's Republic of China.
Fan XuXiangya School of Nursing, Central South University, Changsha, Hunan Province, People's Republic of China.
James Allen WileyDepartment of Family and Community Medicine and Institute for Health Policy Research, University of California, San Francisco, CA, USA.
Siyuan TangXiangya School of Nursing, Central South University, Changsha, Hunan Province, People's Republic of China.
Mei SunXiangya School of Nursing, Central South University, Changsha, Hunan Province, People's Republic of China.
Central South University · CNChangsha Medical University · CNSecond People Hospital of Hunan · CNUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep-related outcomes in people with diabetes are poor, which is closely linked to reducing the development of diabetes. Cognitive behavioral therapy (CBT) based intervention presents innovative solutions that can help improve sleep-related outcomes. Aim: This synthesis aims to assess the effectiveness of CBT-based intervention compared to controls in Randomized Controlled Trials (RCTs) for sleep-related outcomes among people with diabetes. Methods: Eight electronic databases were systematically searched: PubMed, EMBASE, Cochrane library, Web of Science, PsycINFO, CINAHL, China National Knowledge Infrastructure (CNKI), and Wan Fang database. We examined CBT-based intervention's effectiveness on sleep-related outcomes in people with diabetes in RCTs identified in these databases from their inception to 1st November 2023, and updated on 15 January 2024. The risk of bias was assessed using the Cochrane Risk of Bias tool by two reviewers. The meta-analysis of included studies was conducted by RevMan 5.3 software. Results: Seven studies in total (n = 2633 participants) were included in this systematic review based on our inclusion criteria. The systematic review found CBT-based intervention significantly improved sleep quality (Pittsburgh Sleep Quality Index, PSQI scores) at immediate post-intervention [95% CI=(-1.31 to -0.32), p = 0.001], six months [95% CI=(-0.75 to -0.22), p = 0.0003], and 12 months [95% CI=(-0.72 to -0.24), <0.0001], compared to control groups. Furthermore, our findings demonstrated that six sessions [95% CI= (-0.38 to -0.13), p < 0.0001] or more than six sessions [95% CI=(-1.76 to -0.02), p = 0.05] of CBT-based intervention could improve sleep quality compared to controls (I Conclusion: CBT-based intervention appears to have a beneficial effect on improving sleep quality and total sleep time among people with diabetes. CBT-based intervention could be considered a strategy among healthcare providers to enhance sleep quality and total sleep time for people with diabetes. More RCTs with rigorous designs and long-term follow-up are warranted to provide conclusive evidence of the CBT-based intervention on sleep-related outcomes and to explore the mechanisms by which the CBT-based interventions improve sleep-related outcomes.

Indexed as

cognitive behavioral therapydiabetesmeta-analysissleepsystematic review

Identifiers

PMID38481598
PMCPMC10936534
OpenAlexW4392630558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.