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A meta-synthesis of research on leg ulceration and neuropathic pain

2011· review· en· W2042029018 on OpenAlexaff
Tarnia Taverner, José Closs, Michelle Briggs

Bibliographic record

VenueBritish Journal of Nursing · 2011
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of British Columbia
FundersNational Institute for Health and Care Research
KeywordsNeuropathic painMedicineMEDLINEPhysical medicine and rehabilitationPhysical therapyAnesthesia

Abstract

fetched live from OpenAlex

Leg ulceration represents a substantial health problem, and pain is likely to be an associated symptom. The aim of this meta-synthesis was to undertake a systematic review of qualitative studies investigating the experience of chronic painful leg ulceration. This study undertook the meta-synthesis approach described by Sandelowski and Barroso (2003), which is a synthesis and re-interpretation of the findings from several qualitative studies. Findings were extracted and synthesized. The overarching theme was that patients with chronic leg ulceration suffer from persistent pain with associated sequelae. Word descriptors used by participants also suggested that patients have neuropathic pain. In addition, findings from the meta-synthesis suggested that pain associated with chronic leg ulcer may have a neuropathic pain component. Pain associated with leg ulceration is likely to have nociceptive properties as well as neuropathic properties. If neuropathic pain is not identified and managed effectively, patients are at risk of developing a chronic pain condition with associated sequelae, such as poor sleep, depression and suicidal ideation. It is proposed that early identification and management may enable appropriate pain management which may prevent or reduce the associated risks.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.398
GPT teacher head0.449
Teacher spread0.051 · 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.

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

Citations10
Published2011
Admission routes1
Has abstractyes

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