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Record W4382501619 · doi:10.1001/jamaoto.2023.1473

Rehabilitation Interventions for Head and Neck Cancer–Associated Lymphedema

2023· review· en· W4382501619 on OpenAlexaff
Jessica Cheng, Victor Figueiredo Leite, Jegy M. Tennison, Carolina Gutiérrez, Cristina Kline‐Quiroz, L Capozzi, Yu Shui, Kate J. Krause, David M. Langelier, Sara C. Parke

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2023
Typereview
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of TorontoUniversity Health NetworkUniversity of Calgary
Fundersnot available
KeywordsObservational studyMedicineRandomized controlled trialPhysical therapyPsychological interventionLymphedemaRehabilitationSurgeryCancerInternal medicineBreast cancerPsychiatry

Abstract

fetched live from OpenAlex

Importance: Head and neck cancer-associated lymphedema (HNCaL) affects up to 90% of survivors of head and neck cancer and is a substantial contributor to disability following head and neck cancer treatment. Despite the prevalence and morbidity associated with HNCaL, rehabilitation interventions are not well studied. Objective: To identify and appraise the current evidence for rehabilitation interventions in HNCaL. Evidence Review: Five electronic databases were searched systematically from inception to January 3, 2023, for studies on HNCaL rehabilitation interventions. Study screening, data extraction, quality rating, and risk of bias assessment were performed by 2 independent reviewers. Findings: Of 1642 citations identified, 23 studies (1.4%; n = 2147 patients) were eligible for inclusion. Six studies (26.1%) were randomized clinical trials (RCTs) and 17 (73.9%) were observational studies. Five of the 6 RCTs were published during 2020 to 2022. Most studies had fewer than 50 participants (5 of 6 RCTs; 13 of 17 observational studies). Studies were categorized by intervention type, including standard lymphedema therapy (11 studies [47.8%]) and adjunct therapy (12 studies [52.2%]). Lymphedema therapy interventions included standard complete decongestive therapy (CDT) (2 RCTs, 5 observational studies), modified CDT (3 observational studies), therapy setting (1 RCT, 2 observational studies), adherence (2 observational studies), early manual lymphatic drainage (1 RCT), and inclusion of focused exercise (1 RCT). Adjunct therapy interventions included advanced pneumatic compression devices (APCDs) (1 RCT, 5 observational studies), kinesio taping (1 RCT), photobiomodulation (1 observational study), acupuncture/moxibustion (1 observational study), and sodium selenite (1 RCT, 2 observational studies). Serious adverse events were either not found (9 [39.1%]) or not reported (14 [60.9%]). Low-quality evidence suggested the benefit of standard lymphedema therapy, particularly in the outpatient setting and with at least partial adherence. High-quality evidence was found for adjunct therapy with kinesio taping. Low-quality evidence also suggested that APCDs may be beneficial. Conclusions and Relevance: The results of this systematic review suggest that rehabilitation interventions for HNCaL, including standard lymphedema therapy with kinesio taping and APCDs, appear to be safe and beneficial. However, more prospective, controlled, and adequately powered studies are needed to clarify the ideal type, timing, duration, and intensity of lymphedema therapy components before treatment guidelines can be established.

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)0.009
metaresearch head score (Gemma)0.059
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: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.059
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.108
GPT teacher head0.399
Teacher spread0.292 · 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
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

Citations21
Published2023
Admission routes1
Has abstractyes

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