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Cardiopulmonary, histological and inflammatory alterations after lung contusion in a novel mouse model of blunt chest trauma.: Reply:

2004· article· en· W4241063193 on OpenAlexaff
Markus W. Knöferl

Bibliographic record

VenueShock · 2004
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsMedicineBluntThorax (insect anatomy)Pulmonary contusionBlunt traumaLungShock (circulatory)SurgeryAnatomyRadiologyInternal medicine

Abstract

fetched live from OpenAlex

We would like to thank Dr. Guy and Dr. Watkins for their letter and their comments regarding our recently published paper describing a novel mouse model of blunt chest trauma in mice. We also thank the Editors of Shock for the opportunity to respond to this letter. In our experiments, blunt chest trauma was induced using a single blast wave of high intensity centered on the thorax of male C3H/HeN mice. Blast pressure was measured directly at the nozzle of the blast wave generator to assess reproducibility of the blast wave released. The pressure was not determined at the animal's chest because we feel that measuring the intensity of the blast wave that impacts the animal is less informative than biological parameters. Thus, among other measurements, the degree and distribution of lung hemorrhage was estimated macroscopically and microscopically to characterize the trauma. Assessing the distribution of hemorrhage was considered important to monitor whether the trauma consistently caused a bilateral lung contusion. Dr. Guy's and Dr. Watkins' suggestion to determine lung weight ratio and the injury quotient in this model is excellent and will be addressed in future studies. We certainly agree that the observed increase in plasma cytokine concentrations at 3 h following blunt chest trauma is not sufficient to characterize the immunologic response to the trauma, although it suggests a systemic response. As a first step in a series of experiments it was the primary goal of our studies to develop a model of blunt chest trauma in mice because this species is particularly suitable for detailed immunologic investigations. Ongoing work proves that this model is appropriate for such studies and focuses on cell-mediated immune responses and their changes over time. The comments about liver injury are very interesting. Macroscopic as well as microscopic analysis did not reveal significant liver injury at the early time point used in our experiments. In addition, measurement of myeloperoxidase activity in liver tissue did not show any differences between sham and trauma animals, although marked differences occurred in the lungs. An explanation might be that the blast wave primarily affects air-containing structures and was exactly focused on the thorax. During preliminary experiments, however, damage to the liver was observed when the focus of the blast wave was centered too close to the abdomen. Thus, we agree that blunt chest trauma in this model might to some extent have impact on the liver. In this regard, indirect effects of passive downward movement of the diaphragm or deformation of the thorax appear possible. We therefore think that this model should be considered as a model of blunt chest trauma that mimics blunt chest injury as it occurs clinically and includes all pathophysiological components. However, because no fractures occur and collateral injury to soft tissue and abdominal organs is almost absent, we are convinced that the model makes it possible to study the effects of severe bilateral lung contusion. Dr. Markus Knöferl

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 score0.754
Threshold uncertainty score0.481

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 head0.018
GPT teacher head0.254
Teacher spread0.235 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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