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Record W2743090250 · doi:10.1111/iwj.12801

Reply to: Effectiveness of a multi‐layer foam dressing in preventing sacral pressure ulcers in the early acute care of patients with a traumatic spinal cord injury: comparison with the use of a gel mattress by Gefen and Santamaria

2017· article· en· W2743090250 on OpenAlexaff
Andréane Richard‐Denis, Cynthia Thompson, Jean‐Marc Mac‐Thiong

Bibliographic record

VenueInternational Wound Journal · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineSpinal cord injuryRigourWound careHealth careGold standard (test)Intensive care medicineSpinal cordPsychiatry

Abstract

fetched live from OpenAlex

Evidence-based recommendations in terms of the acute management of spinal cord injury (SCI) are well established 1-3. Nevertheless, medical complications, such as pressure ulcers (PU), still occur during the acute phase following an SCI, which signifies that current gold-standard measures in terms of PU prevention 1, 2 remain deficient. Thus, research for the development of new efficient measures of PU prevention in acute SCI management is essential. The evaluation of new potential preventive measures compared to the current gold-standard measure may allow us to improve standard of care. First, we would like to highlight that we do not have any potential conflict of interest with regards to the use of any treatment modality for preventing PU, in contrast with Professors Gefen and Santamaria, who are members of the Scientific and Clinical Advisory Boards of MoInlycke Health Care, respectively. The multi-layer wound dressing investigated in the current study (Mepilex Border Sacrum) is a registered product of Mlnlycke Health Care. Considering that Professors Gefen and Santamaria have obvious conflicts of interests when discussing the use of wound dressings, we would like to underline that objectivity is as important as rigour when analysing the data. It is somehow surprising that Professors Gefen and Santamaria specifically identified one result in our study to support the use of the multi-layer wound dressing (decrease of high-grade PU) while strongly criticising the author for using the multi-layer wound dressing instead of a gel mattress. We would like to highlight that the hospital centre involved in this study is a Level-1 acute care trauma centre specialising in SCI care. The preventive dressing was compared to the gel mattress as one component of a holistic evidence-based approach 1-3. Moreover, it is important to argue that the application of a multi-layer foam dressing in addition to the gel mattress may also potentially affect the bodyweight force transfer pattern, as suggested by Professors Gefen and Santamaria.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.024
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.055
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0240.020
Insufficient payload (model declined to judge)0.0090.006

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 head0.062
GPT teacher head0.415
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2017
Admission routes1
Has abstractyes

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