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Record W1603412810 · doi:10.1002/14651858.cd003528

Deep transverse friction massage for treating tendinitis

2002· review· en· W1603412810 on OpenAlexaff
Lucie Brosseau, Lynn Casimiro, Sarah Milne, Vivian Welch, Beverley Shea, Peter Tugwell, George A. Wells

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2002
Typereview
Languageen
Field
Topic
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicinePhysical therapyMassageRandomized controlled trialCINAHLMEDLINEPlaceboMeta-analysisPsychological interventionClinical trialSurgeryAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Deep transverse friction massage (DTFM) is one of several physiotherapy interventions suggested for the management of tendinitis pain. OBJECTIVES: To assess the efficacy of DTFM for treating tendinitis. SEARCH STRATEGY: We searched the MEDLINE, EMBASE, HealthSTAR, Sports Discus, CINAHL, the Cochrane Controlled Trials Register, PEDro, the specialized registry of the Cochrane musculoskeletal group and the Cochrane field of Physical and Related Therapies up to the end of June 2002. The reference list of the trials and key experts in the area were also consulted for additional studies. SELECTION CRITERIA: All randomized controlled trials (RCTs) and controlled clinical trials (CCTs) comparing therapeutic ultrasound with control or another active intervention in patients with all types of tendinitis, such as iliotibial band friction syndrome and extensor carpi radialis tendinitis (i.e. tennis elbow or lateral epicondylitis or lateralis epicondylitis humeri), were selected. DATA COLLECTION AND ANALYSIS: Two reviewers determined the studies to be included based upon the inclusion and exclusion criteria (LB, VR). Data were independently abstracted by two reviewers (VR, LB), and checked by a third reviewer (BS) using a pre-developed form of the Cochrane Musculoskeletal Group. The two reviewers, using a validated checklist, assessed the methodological quality of the RCTs and CCTs independently. The pooled analysis was performed using weighted mean differences (WMDs) for continuous outcomes. MAIN RESULTS: One RCT included patients with ITBFS. DTFM combined with rest, stretching exercises, cryotherapy and therapeutic ultrasound was compared to the control group (rest, stretching exercises, cryotherapy and therapeutic ultrasound only). This trial showed no statistical difference in the three types of pain relief measured after four consecutive sessions of DTFM combined with other physiotherapy modalities for runners. There was a clinically important relative percentage difference in pain while running of 22%. A RCT on ECRT showed no statistical difference in pain relief, grip strength and the three types of functional status measured after 9 consecutive sessions within 5 weeks of DTFM compared with other physiotherapy modalities. REVIEWER'S CONCLUSIONS: DTFM combined with other physiotherapy modalities did not show consistent benefit over the control of pain, or improvement of grip strength and functional status for patients with ITBFS or for patients with ECRT. These conclusions are limited by the small sample size of the included RCTs. No conclusions can be drawn concerning the use or non use of DTFM for the treatment of ITBFS. Future trials, utilizing specific ITBFS methods and adequate sample sizes are needed, before conclusions can be drawn regarding the specific effect of DTFM on tendinitis.

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)0.015
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 score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.174
GPT teacher head0.387
Teacher spread0.214 · 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

Citations168
Published2002
Admission routes1
Has abstractyes

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