ArticleCellular & molecular immunology2019
Imbalance in T-cell differentiation as a biomarker of chronic diabetic foot ulceration.
Article in Cellular & molecular immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.Scientific reports · 2025Article
- The prognostic and diagnostic significance of inflammatory markers TNF-α, IL-6, and IFN-γ in evaluating disease severity in diabetic foot infection.Frontiers in cellular and infection microbiology · 2025Article
- Molecular Pathophysiology of Chronic Wounds: Current State and Future Directions.Cold Spring Harbor perspectives in biology · 2023Review
- Diabetic Wound-Healing Science.Medicina (Kaunas, Lithuania) · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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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.