ArticleWound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society2019
Discordance between histologic and visual assessment of tissue viability in excised burn wound tissue.
Article in Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 29 citations in OpenAlex.
- Evaluation of Burn Depth using Indocyanine Green: Discrepancies Between Macroscopic Visualization and the Microenvironment.Plastic and reconstructive surgery · 2026Article
- Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator and Microvascular Fragments Promotes the Healing of Deep Burn Wounds.International journal of molecular sciences · 2024Article
- Living Skin Substitute Tissue-Is a Replacement for the Autograft Possible?European burn journal · 2023Article
- Monocytes and T cells incorporated in full skin equivalents to study innate or adaptive immune reactions after burn injury.Frontiers in immunology · 2023Article
- Evaluation of Formalin-Fixed and FFPE Tissues for Spatially Resolved Metabolomics and Drug Distribution Studies.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Measuring collagen injury depth for burn severity determination using polarization sensitive optical coherence tomography.Scientific reports · 2022Article
- Lactate dehydrogenase activity staining demonstrates time-dependent immune cell infiltration in human ex-vivo burn-injured skin.Scientific reports · 2021Article
- Distinct Tissue Damage and Microbial Cues Drive Neutrophil and Macrophage Recruitment to Thermal Injury.iScience · 2020Article
- Optical imaging of collagen fiber damage to assess thermally injured human skin.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2020Article
- Paint It Blue: Methylene Blue in Burn Care.Plastic and reconstructive surgery. Global open · 2020Review
- Indeterminate-Depth Burn Injury-Exploring the Uncertainty.The Journal of surgical research · 2020Review
- Optimization of interstrand interactions enables burn detection with a collagen-mimetic peptide.Organic & biomolecular chemistry · 2019Article
- Spatial Transcriptome Analysis Reveals Diverse Human Burn Wound Microenvironment.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyArticle
- Novel multi-spectral short-wave infrared imaging for assessment of human burn wound depth.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyArticle
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 at 1 institution in 1 country.
Funding
Abstract
The regenerative capacity of burn wounds, and the need for surgical intervention, depends on wound depth. Clinical visual assessment is considered the gold standard for burn depth assessment but it remains a subjective and inaccurate method for tissue evaluation. The purpose of this study was to compare visual assessment with microscopic and molecular techniques for human burn depth determination, and illustrate differences in the evaluation of tissue for potential regenerative capacity. Using intraoperative visual assessment, patients were identified as having deep partial thickness or full thickness burn wounds. Tangential excisions of burn tissue were processed with hematoxylin and eosin to visualize tissue morphology, lactate dehydrogenase assay to ascertain cellular viability, and Keratin-15 and Ki67 to identify epidermal progenitor cells and proliferative capacity, respectively. RNA from deep partial and full thickness burn tissue as well as normal tissue controls were submitted for RNA sequencing. Lactate dehydrogenase, Keratin-15, and Ki67 were found throughout the excised burn wound tissue in both deep partial thickness burn tissues and in the second tangential excision of full thickness burn tissues. RNA sequencing demonstrated regenerative capacity in both deep partial and full thickness burn tissue, however a greater capacity for regeneration was present in deep partial thickness compared with full thickness burn tissues. In this study, we highlight the discordance that exists between the intraoperative clinical identification of burn injury depth, and microscopic and molecular determination of viability and regenerative capacity. Current methods utilizing visual assessment for depth of injury are imprecise, and can lead to removal of viable tissue. Additionally, hematoxylin and eosin microscopic analysis should not be used as the sole method in research or clinical determination of depth, as there are no differences in staining between viable and nonviable tissue.
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.