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Record W4390595023 · doi:10.1093/bjd/ljae006

Neonatal epidermolysis bullosa: a clinical practice guideline

2024· review· en· W4390595023 on OpenAlexaff
Rebecca Saad, José C. Duipmans, Natalie Yerlett, Katie Plevey, Catherine McCuaïg, William Woolfe, Kristy Steinau, Jennifer Phillips, Nina Azzopardi, Kerry Thompson, Anna Carolina Ferreira da Rocha, Mauricio Torres Pradilla, Hagen Ott, Declan Patton, Zena Moore, Paul Murphy, K. M. Mayre‐Chilton

Bibliographic record

VenueBritish Journal of Dermatology · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsUniversité de Montréal
FundersDebra InternationalDystrophic Epidermolysis Bullosa Research Association
KeywordsMedicinePsychosocialGuidelineEpidermolysis bullosaMultidisciplinary approachNursingClinical PracticeIntervention (counseling)Presentation (obstetrics)Family medicinePathologyPsychiatrySurgery

Abstract

fetched live from OpenAlex

DEBRA International is undertaking a long-term initiative to develop clinical practice guidelines (CPGs) for epidermolysis bullosa (EB), to -improve the clinical care of people living with EB. Current neonatal care is based on evidence, clinical expertise and trial and error, with collaboration between the EB specialist team, parent or carer and patient, and is dependent on the neonate's individual presentation and type of EB. Early intervention based on research and clinical practice is needed to establish a foundation of knowledge to guide international practitioners to create and improve standards of care and to be able to work effectively with those newly diagnosed with EB. This CPG was created by an international panel with expertise working with persons with EB. The CPG focuses on neonatal care using a systematic review methodology covering four key areas: (i) diagnosis and parental psychosocial support; (ii) hospital management: medical monitoring, wound care and pain; (iii) feeding and nutrition; and (iv) discharge planning and EB education. These four areas highlight the importance of a multidisciplinary team approach, to provide a patient-specific holistic care model that incorporates the needs and wishes of the parents and carers. The Hospital Implementation Tool included promotes transfer of theory to clinical practice.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.040
GPT teacher head0.414
Teacher spread0.374 · 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 designOther design
Domainnot available
GenreReview

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

Citations14
Published2024
Admission routes1
Has abstractyes

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