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Record W2953292879 · doi:10.4081/or.2019.7955

Conservative treatment of cubital tunnel syndrome: A systematic review

2019· review· en· W2953292879 on OpenAlexaff
Sahil Kooner, David J. Cinats, Cory A. Kwong, Graeme Matthewson, Gurpreet Dhaliwal

Bibliographic record

VenueOrthopedic Reviews · 2019
Typereview
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsUniversity of ManitobaUniversity of Calgary
Fundersnot available
KeywordsMedicineCubital tunnel syndromeCINAHLData extractionMEDLINEConservative treatmentConservative managementMeta-analysisSurgeryPhysical therapyUlnar nerveElbowPsychological interventionInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Cubital tunnel syndrome (CuTS) is one of the most common compression neuropathies of the upper extremity. Conservative management of cubital tunnel syndrome is often considered first line therapy for mild or moderate symptoms; however, there is little evidence-based literature to guide physicians in this regard. As such, the objective of this study is to complete a comprehensive literature search of the conservative therapies available for treatment of CuTS. Additionally, we hope to assess the evidence for each therapy so that we can make evidence- based recommendations regarding the type and duration of optimal treatment. The databases MEDLINE, EMBASE, and CINAHL were search using a sensitive search strategy. Eligibility for studies included any studies or conference abstracts in which patients were treated conservatively for primary CuTS. Any form of non-operative treatment was acceptable. A data extraction form was developed to collect all information and outcomes of interest, including study design, level of evidence, number of patients, treatment modalities, follow- up time, patient reported outcomes, and electrophysiological markers. Qualitative and quantitative analysis was then completed based on the data extraction form. Given the heterogeneity of the included studies, results were summarized as best evidence available. Our sensitive literature search produced 6484 studies. Initial screening based on title and abstract resulted in the selection of 40 studies that underwent full text review. From these 19 studies were included for analysis in our systematic review. There were 3 level I studies, 4 level II studies, 3 level III studies, and 9 level IV studies. In total this included 844 patients. The most commonly reported outcomes included subjective patient reported outcomes and nerve conduction studies. The most common treatment modalities, from most to least common, included education and activity modification, splinting, steroid/lidocaine injection, nerve mobilization/gliding, pulsed ultrasound, laser therapy, non-steroidal antiinflammatory drugs, and physiotherapy. The most common duration of therapy was 3 months with a median follow-up time of 3 months. There was moderate strength evidence to recommend the use of education/activity modification or splinting in mild or moderate CuTS. There is a paucity of literature and highquality studies regarding the conservative management of CuTS. Regardless, there appears to be a role for non-operative management in CuTS, although further studies are needed to delineate this role further. In the cases of mild or moderate CuTS it is reasonable to trial education/activity modification or splinting as both appear to be equally effective.

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)0.026
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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.138
GPT teacher head0.407
Teacher spread0.269 · 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

Citations43
Published2019
Admission routes1
Has abstractyes

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