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Record W3176879036 · doi:10.12968/bjnn.2021.17.3.105

Clinical practice guidelines for acute and post-acute care of patients with spinal cord injury: a scoping review protocol

2021· review· en· W3176879036 on OpenAlexaff
Marianne Pearl Gregorio, Kiran Pohar Manhas, Katelyn Brehon, Marcus Vaska, Glenda E. Moore, Petra O’Connell, Chester Ho, Elizabeth Papathanassoglou

Bibliographic record

VenueBritish Journal of Neuroscience Nursing · 2021
Typereview
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsAlberta Health ServicesAlberta HealthUniversity of Alberta
Fundersnot available
KeywordsMedicineGuidelineProtocol (science)Systematic reviewMultidisciplinary approachSpinal cord injuryClinical PracticeAcute careMEDLINEIntensive care medicineHealth careNursingAlternative medicineSpinal cord

Abstract

fetched live from OpenAlex

Background: Spinal cord injury (SCI) impacts quality of life. Clinical practice guidelines (CPG) for comprehensive SCI care are not completely agreed upon, leading to considerable variability in care and patient outcomes. Aims: We aim to summarise and critically evaluate existing CPGs for the care of patients with SCI at the acute and post-acute phase of their care, and to identify gaps in guidance for nursing and multidisciplinary care. Methods: The scoping review protocol was directed by the Joanna Briggs Institute (JBI) guidelines and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) reporting guideline. Some 13 databases will be searched for eligible CPGs. Two independent reviewers will screen and extract data using pre-specified eligibility criteria. The quality of CPGs will be appraised using the AGREE II tool.

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)0.094
metaresearch head score (Gemma)0.098
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.094
Threshold uncertainty score0.499

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0940.098
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0090.012
Bibliometrics0.0160.014
Science and technology studies0.0050.004
Scholarly communication0.0060.007
Open science0.0060.007
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0570.013

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 head0.378
GPT teacher head0.653
Teacher spread0.275 · 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
GenreProtocol

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

Citations2
Published2021
Admission routes1
Has abstractyes

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