ArticleFrontiers in bioengineering and biotechnology2025
Study on the multi-parameter combination analysis and quantitative evaluation of the efficacy of extracorporeal shock wave therapy for plantar fasciitis.
Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Extracorporeal shock wave therapy (ESWT) is an effective non-invasive treatment for plantar fasciitis (PF) that relieves chronic pain, promotes tissue healing, and improves function, and is particularly suitable for cases unresponsive to conservative management. Compared with surgery, ESWT is less invasive, more cost-effective, and has demonstrated favorable long-term outcomes. Aim of the study: To address the limited reliability of subjective scales and the clinical translation difficulties of laboratory gait analysis in current efficacy evaluation of ESWT for PF, we propose a monocular-vision, multi-parameter combination framework for multidimensional decoupling assessment of gait dynamics. Methods: Using a monocular RGB camera, we recorded a total of 633 gait videos from 23 PF patients before and after ESWT intervention. Lower-limb kinematic parameters were extracted with the CtransPose pose-estimation algorithm and dimensionality reduction and reconstruction were performed by principal component analysis (PCA). Five core functional dimensions explaining a cumulative variance of 89.18% were successfully extracted, and a theoretical framework for multidimensional coupling of gait features was established. Results: The primary efficacy dimension (PC1) improved significantly after treatment: step length increased from 0.33 [0.30, 0.39] m to 0.37 [0.29, 0.44] m, stride length increased from 0.59 [0.52, 0.69] m to 0.63 [0.55, 0.75] m, and walking speed increased from 0.59 [0.48, 0.67] m/s to 0.62 [0.55, 0.75] m/s (all P < 0.05). The coordinated improvement of these objective parameters suggests that ESWT may effectively restore basic propulsion-phase locomotor function by alleviating pain. The gait-optimization dimension (PC3) reflected a pattern of improved gait efficiency, characterized by significantly increased walking speed (P < 0.001) while cadence remained unchanged, reflecting release of pain-avoidance strategies. The swing-control dimension (PC5) showed a significant reduction in maximum swing angle (P = 0.003), indicating a favorable transformation in swing control mechanisms. Conclusion: By establishing an objective assessment method centered on PC1 with PC3 and PC5 as sensitive indicators, this study provides a new paradigm for quantitative ESWT efficacy evaluation and individualized rehabilitation planning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.