ArticleFrontiers in cell and developmental biology2026
AI-driven reconstruction of the evidence architecture of hydrogel-based intervertebral disc repair research.
Article in Frontiers in cell and developmental biology, 2026. 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Intervertebral disc degeneration (IVDD), the leading cause of chronic low back pain, imposes heavy socioeconomic burdens, and conventional treatments cannot achieve biological disc repair. Hydrogels are promising for IVDD regeneration, but traditional bibliometrics fails to uncover the field's evidence architecture, thematic maturity and structural bottlenecks. Methods: We retrieved 1,085 English publications (2016-2025) from three major databases, and developed an AI-driven framework to reconstruct the field's evidence hierarchy Results: The field has entered the mid-to-late preclinical stage, dominated by Level 3 (animal/ Conclusion: This AI-assisted evidence reconstruction maps the unbalanced transition of the field from biomaterial-centered exploration to degeneration-context integration and functional restoration. Future progress will rely on deeper structural, mechanistic and functional integration rather than expanding isolated material platforms, providing guidance for research prioritization and clinical translation.
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.