Evidence map›Paper›PMID 36394058›Full record

ArticleJournal of pain research2022

A Systematic Review and Meta-Analysis Protocol on How Best to Use Non-Pharmacologic Therapies to Manage Chronic Low Back Pain and Associated Depression.

Yu Guo, Qingyu Ma, Xuan Zhou, Juan Yang, Kejie He, Longbin Shen, Canghuan Zhao, Zhuoming Chen, Celia Ia Choo Tan, Jiaxu Chen

Abstract read
In one paragraph

Article in Journal of pain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yu Guo *Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou City, People's Republic of China.
Qingyu Ma *Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou City, People's Republic of China.ORCID 0000-0002-4208-5634
Xuan ZhouGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou City, People's Republic of China.ORCID 0000-0002-5501-4579
Juan YangDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-0850-679X
Kejie HeDepartment of Acupuncture, First Affiliated Hospital of Jinan University, Guangzhou City, People's Republic of China.
Longbin ShenRehabilitation Medicine Center, First Affiliated Hospital of Jinan University, Guangzhou City, People's Republic of China.
Canghuan ZhaoDepartment of Acupuncture, First Affiliated Hospital of Jinan University, Guangzhou City, People's Republic of China.ORCID 0000-0002-2291-7173
Zhuoming ChenRehabilitation Medicine Center, First Affiliated Hospital of Jinan University, Guangzhou City, People's Republic of China.
Celia Ia Choo TanDepartment of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
Jiaxu ChenGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou City, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the efficacy of different non-pharmacologic therapies (NPTs) on relieving depressive symptoms and pain intensity in individuals living with chronic low back pain (LBP) and associated depression. Methods: A comprehensive search of seven English databases and two Chinese databases from inception to the search date will be undertaken. The reference lists of previously published relevant reviews and included trials will also be searched. Only peer-reviewed and published moderate-to-high quality randomized controlled trials (RCTs) for chronic LBP and associated depression treated with NPTs will be considered. Two independent reviewers will identify studies, extract data, assess risk of bias, and evaluate the strength of evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Meta-analysis will be conducted to estimate the treatment effect of various NPTs. Heterogeneity will be assessed using Cochrane's Q and the I-squared statistics. Subgroup and sensitivity analyses will be performed to assess the robustness of findings. A funnel plot will be developed to evaluate reporting bias, and Begg's and Egger's tests will be used to assess funnel plot symmetries. Results: This protocol outlines the planned scope and methodology for an upcoming systematic review and meta-analysis, which will provide up-to-date evidence on 1) which NPTs are associated with improvements in depressive symptoms and pain intensity and 2) whether the effects of NPTs on chronic LBP and associated depression vary according to clinical condition, participant, and treatment characteristics. Conclusion: Our meta-analyses of moderate-to-high quality RCTs will help to develop specific recommendations on prescribing NPTs in patients with chronic LBP and associated depression. Study Registration: This protocol is registered on the International Platform of Registered Systematic Review and Meta-analysis (INPLASY) protocols platform as record No. INPLASY202260055.

Indexed as

chronic low back pain and associated depressionmeta-analysisnon-pharmacologic therapiesprotocolrandomized controlled trial

Identifiers

PMID36394058
PMCPMC9642368

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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.