MétaCan
Menu
Back to cohort

Wound healing isn't everything

2012· letter· en· W2039344513 on OpenAlexaff
Vincent Maida, Jason Corban

Bibliographic record

VenueInternational Wound Journal · 2012
Typeletter
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineLife expectancyPalliative careWound careContext (archaeology)Quality of life (healthcare)PopulationIntensive care medicineHealth careNursing

Abstract

fetched live from OpenAlex

Dear Editor, Patients with advanced illness, defined as those patients with incurable diseases (cancer and/or non-cancer), where the life expectancy is generally less than 6 months, represent the cohort within health care with the highest overall prevalence of all wound classes (1). Pressure ulcers represent the class of wounds with the highest prevalence among such patients at the point when they are referred for supportive and palliative care (1). Goal setting is challenging in this context given their high level of complexity, often rapidly evolving illness trajectory, and limited life expectancy (2–4). Furthermore, goals of care change as patients traverse life's continuum (2–4). Although complete wound healing is the most coveted target, clinicians should not discount nor marginalise the value of achieving other significant outcomes. The concept of wound maintenance (stabilisation) has been defined in both patients with advanced illness as well as non-terminally ill patients (2–4). In addition to optimal wound palliation (wound-related pain and symptom management or palliative wound care), it is also imperative to provide health care that is patient-centered/patient empowered, while promoting the best achievable levels of health-related quality of life and well-being (2–5). Moreover, it is also vitally important to exercise maximal primary and secondary preventive endeavours given the propensity of this patient population to develop new wounds from all classes (2–4). Our recent publication, in this journal, showed that a small, although not negligible, proportion of patients with advanced illness experience complete healing of pressure ulcers, especially within stage I and stage II (2). Subsequent analyses, on the same data set, were carried out to assess the proportions of pressure ulcers that showed improvement (healing), deterioration, as well as those that did not show any significant change at all (maintenance). Data is presented in Table 1, and is stratified by NPUAP pressure ulcer stage. Within this analysis, ‘wound healing’ was defined as a summation of wound improvement (reduction in wound dimensions) and complete wound healing (complete epithelialisation). The tendency to demonstrate wound healing trended inversely with degree of tissue injury. The highest levels of healing were observed in stage I (36·24%) and stage II (20·09%). The composite healing rate for stages III, IV, and US was 11·93%. Although unstageable pressure ulcers demonstrated the highest levels of deterioration and the lowest levels of wound healing, they nonetheless carried the highest levels of wound maintenance. In summary, our data shows that with comprehensive wound management, the majority of pressure ulcers (92·87%), in the setting of patients with advanced illness referred for supportive and palliative care, achieve either wound maintenance or some degree of wound healing. Moreover, only 7·13% of pressure ulcers deteriorated given their associated infirmaries that were beyond our control. Overall, wound healing occurred 3·42 times more often than wound deterioration. Therefore, the combination of high levels of wound maintenance together with modest levels of wound healing and low levels of wound deterioration, within the most compromised patients within health care, must be recognised as successful outcomes in wound management. Vincent Maida, MD, MSc, BSc 1 Jason Corban, HBSc 2

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.042
GPT teacher head0.335
Teacher spread0.293 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueInternational Wound JournalSame topicWound Healing and TreatmentsFrench-language works237,207