SynthesisBMC surgery2025
Precision medicine exploration of postpartum rectus abdominis muscle separation: from basic research to clinical practice.
Synthesis in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07639125 (Effect of Exercise on the Width and Stiffness of the Linea Alba in Postpartum Women With Diastasis), which is not on this 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.
Effect of Exercise on the Width and Stiffness of the Linea Alba in Postpartum Women With Diastasis
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
3 authors.
Funding
Abstract
Postpartum diastasis recti abdominis (PDRA), characterized by pathological separation of the rectus abdominis muscles, affects 30%-60% of women, with many cases persisting beyond 6 months postpartum and having significant impacts on musculoskeletal function and quality of life. This review synthesizes recent advancements across molecular pathogenesis, precision diagnostics, and therapeutic innovations. Key findings reveal that PDRA pathophysiology involves pregnancy-induced hormonal fluctuations, extracellular matrix remodeling, and mechanical overloading, necessitating individualized management. Artificial intelligence (AI)-enhanced ultrasonography achieves superior diagnostic accuracy (Dice score: 85.93%, r = 0.944 vs. manual measurements) over traditional methods, while minimally invasive techniques including laparoscopic "Slim-Mesh" repair demonstrate reduced recurrence rates (< 10%) and enhanced recovery compared to open surgery. Biomaterial integration (such as synthetic and bioabsorbable meshes) promotes anatomical reconstruction. Intelligent rehabilitation systems combining surface electromyography and wearable sensors improve inter-rectus distance (IRD) reduction through real-time biomechanical feedback. Critical challenges persist regarding the lack of standardized diagnostic criteria, long-term outcome validation of emerging technologies (> 5-year follow-up gaps), and optimization of AI-driven predictive models. We propose a potential precision medicine framework that integrates dynamic imaging, molecular profiling, and patient-specific interventions to optimize functional recovery and address heterogeneity in PDRA management.
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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.