ReviewNature communications2026
Engineering in vitro models to replicate the complexity of chronic wounds.
Review in Nature communications, 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
3 authors.
Funding
Abstract
Chronic wounds represent a major clinical challenge driven by sustained inflammation, proteolytic imbalance, microbial colonisation, and impaired tissue regeneration. This review critically examines 2D and 3D in vitro models used in chronic wound research, evaluating their capacity to recapitulate chronicity across venous leg ulcers, diabetic foot ulcers, and pressure ulcers. Current systems lack the biochemical complexity required to reproduce key features of the non-healing phenotype. Building on quantitative clinical wound exudate data, we propose a feature-driven, aetiology-stratified framework that provides modular design considerations for in vitro models and chronic wound simulating media.
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What Socratic 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 Socratic graph.