Evidence map›Paper›PMID 42801090›Full record

ReviewJournal of pain research2026

Effects of Graded Exposure on Functional Improvement, Quality of Life, and Mental Health in Chronic Musculoskeletal Pain: A Systematic Review and Meta-Analysis.

Qiong Zhang, Yapeng Wu, Yanmei Zhao, Tingyu Meng, YiFan Zhao, Xueqin Qin, Haiyan Long, Chao Zhang

Abstract readReview
In one paragraph

Review in Journal of pain research, 2026. 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
–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

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

8 authors.

Qiong Zhang *Department of Orthopedic Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Yapeng Wu *Department of Spinal Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Yanmei Zhao *Department of Orthopedic Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Tingyu MengDepartment of General Internal Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
YiFan ZhaoCenter for Evidence-Based Medicine and Clinical Research, Hubei Provincial Clinical Research Center of Central Nervous System Repair and Functional Reconstruction, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Xueqin QinDepartment of General Internal Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Haiyan LongDepartment of Cardiopulmonary Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.
Chao ZhangCenter for Evidence-Based Medicine and Clinical Research, Hubei Provincial Clinical Research Center of Central Nervous System Repair and Functional Reconstruction, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.ORCID 0000-0002-9891-0605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic musculoskeletal pain (CMP) is a prevalent and disabling condition associated with impaired physical function and reduced quality of life. Graded exposure therapy (GEP), a cognitive-behavioral intervention targeting pain-related fear and avoidance, has been proposed as a non-pharmacological approach for CMP management. Objective: To evaluate the effects of GEP compared with non-GEP interventions in individuals with CMP. Methods: We searched electronic databases from inception to February 2025 for randomized controlled trials (RCTs) comparing GEP and non-GEP interventions in individuals with CMP. Primary outcomes included pain intensity and pain-related disability. Secondary outcomes included pain-related fear and cognition, health-related quality of life, psychological outcomes, sleep-related outcomes, behavioral adaptation, self-efficacy, and physical functioning. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results: Eight RCTs involving 554 participants were included. Compared with non-GEP interventions, GEP was associated with improvements in pain-related disability and pain-related fear and cognition, including pain catastrophizing (Pain Catastrophizing Scale [PCS]: mean difference [MD] = -4.45, 95% confidence interval [CI] -7.20 to -1.69) and kinesiophobia (Tampa Scale of Kinesiophobia [TSK]: MD = -4.57, 95% CI -7.11 to -2.03). Disability outcomes have showen beneficial effects across several instruments, although many estimates are based on individual studies. Effects on pain intensity were inconsistent, with significant reductions observed for Neuropathic Pain Scale (NPS) (MD = -2.66, 95% CI -4.09 to -1.23) and Fibromyalgia Impact Questionnaire Pain subscale (FIQ-Pain) (MD = -2.51, 95% CI -3.48 to -1.54). The certainty of evidence ranged from very low to moderate, with most outcomes being downgraded owing to the risk of bias and imprecision. Conclusion: GEP may improve pain-related disability and pain-related fear and cognition in individuals with CMP. However, the limited certainty of evidence and variability across populations, interventions, and outcome measures warrant cautious interpretation. Further high-quality trials with standardized outcomes and longer-term follow-up are needed.

Indexed as

chronic musculoskeletal paincognitive-behavioral interventionfear-avoidancegraded exposure therapymeta-analysispain-related disability

Identifiers

PMID42801090
PMCPMC13615752

What OpenQuestion holds

Textmetadata
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.