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Record W2003168163 · doi:10.1089/neu.2011.2226

The Health and Life Priorities of Individuals with Spinal Cord Injury: A Systematic Review

2012· review· en· W2003168163 on OpenAlexafffund
Lisa Simpson, Janice J. Eng, Jane Hsieh, Dalton L. Wolfe and the Spinal Cord Injury Re

Bibliographic record

VenueJournal of Neurotrauma · 2012
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsWestern UniversityLawson Health Research InstituteInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsCINAHLTetraplegiaPsycINFOSpinal cord injuryMEDLINEParaplegiaMedicineQuality of life (healthcare)International Classification of Functioning, Disability and HealthRehabilitationPhysical medicine and rehabilitationGerontologyPsychologyPhysical therapyNursingSpinal cordPsychological interventionPsychiatry

Abstract

fetched live from OpenAlex

Determining the priorities of individuals with spinal cord injury (SCI) can assist in choosing research priorities that will ultimately improve their quality of life. This systematic review examined studies that directly surveyed people with SCI to ascertain their health priorities and life domains of importance. Twenty-four studies (a combined sample of 5262 subjects) that met the inclusion criteria were identified using electronic databases (Medline, EMBASE, CINAHL, and PsycINFO). The questionnaire methods and domains of importance were reviewed and described. While the questionnaires varied across studies, a consistent set of priorities emerged. Functional recovery priorities were identified for the following areas: motor function (including arm/hand function for individuals with tetraplegia, and mobility for individuals with paraplegia), bowel, bladder, and sexual function. In addition, health, as well as relationships, emerged as important life domains. The information from this study, which identified the priorities and domains of importance for individuals with SCI, may be useful for informing health care and research agenda-setting activities.

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)0.007
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.261
GPT teacher head0.492
Teacher spread0.230 · 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 designSystematic review
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

Citations622
Published2012
Admission routes2
Has abstractyes

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