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Record W1243505502

Control of wound contraction. Basic and clinical features.

2000· article· en· W1243505502 on OpenAlexaff
Bernadette Nedelec, Aziz Ghahary, Paul G. Scott, Edward E. Tredget

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsUniversity of AlbertaMcGill University
Fundersnot available
KeywordsMyofibroblastHypertrophic scarScarsMuscle contractureWound healingMedicineContraction (grammar)Extracellular matrixFibroblastCell biologyAnatomyContracturePathologyFibrosisSurgeryBiologyInternal medicineCell culture
DOInot available

Abstract

fetched live from OpenAlex

Although a substantial amount of molecular and cellular data have been generated in an effort to understand the process of wound contraction and scar contracture formation, questions remain. What seems apparent is that the myofibroblast is not the only cell that generates contractile forces within wounds, but it does appear to be intrinsically linked to the development of hypertrophic scars. The supposition that the formation of scar contractures is solely the result of a continuation of wound contraction is an oversimplification. Figure 4 provides a model of the possible evolution of contractile forces during the wound healing process and their role in the development of scar contractures. Migration of fibroblasts into and through the extracellular matrix during the initial phase of wound healing, prior to the expression of alpha-SMA, appears to be a fundamental component of wound contraction. During this migration, the pulling of collagen fibrils into a streamlined pattern in their wake, and the associated production of collagenase, may facilitate a more normal arrangement of collagen. Once the wound has been repopulated and the chemotactic gradient that was established by inflammatory cells is decreased, fibroblast migration will cease. It is at this point that myofibroblasts appear and play a key role in the production of hypertrophic scars, given that their prolonged presence and over-representation are hallmarks of this pathology. One of the pivotal differences between wounds that proceed to normal scar compared with those that develop hypertrophic scars and scar contractures may be a lack (or late induction) of myofibroblast apoptotic cell death. The combined contribution of fibroblasts and myofibroblasts to abnormal extracellular matrix protein production results in an excessive and rigid scar. The isometric application of contractile forces by myofibroblasts probably contributes to the formation of the whorls, nodules, and scar contractures characteristic of hypertrophic scars. Because the prolonged presence of myofibroblasts, producing an imbalance in extracellular matrix proteins and proteases, probably exacerbates hypertrophic scars and wound contraction, accelerating the rate of apoptotic cell death to reduce the cell number to that seen in normal scar may be a useful strategy for providing effective and efficient treatment of scar contracture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.301
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations159
Published2000
Admission routes1
Has abstractyes

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