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Enregistrement W2128499793 · doi:10.1200/jco.2013.51.8373

Mounting Evidence Against Complex Decongestive Therapy As a First-Line Treatment for Early Lymphedema

2013· letter· en· W2128499793 sur OpenAlexaboutno aff
Sara H. Javid, Benjamin O. Anderson

Notice bibliographique

RevueJournal of Clinical Oncology · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueLymphatic System and Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLymphedemaBreast cancerSurgeryAxillary Lymph Node DissectionSentinel lymph nodeCancerInternal medicine

Résumé

récupéré en direct d'OpenAlex

Arm lymphedema is a feared and presently incurable complication of breast cancer surgery and radiation treatment (RT). Lymphedema results from excess interstitial fluid accumulation, which leads to limb swelling and eventual tissue fibrosis that can cause lifelong impairment of arm use. Lymphedema concerns take center stage at many, if not the majority, of preoperative and postoperative consultations with patients who are undergoing breast cancer surgery, given that this complication can permanently harm quality of life, from both a physical/functional perspective as well as a psychosocial one. Findings from a 2013 systematic review and meta-analysis of 72 studies revealed an estimated 17% risk of arm lymphedema among patients with breast cancer, with risk increasing up to 2 years after surgery. The risk was four times higher in women who had a complete axillary lymph node dissection (ALND; 20%) versus those who had sentinel lymph node biopsy alone (5.6%). Among women who receive adjuvant RT after ALND, lymphedema risk is significantly higher. In a 2001 systematic review, the rate of lymphedema among women who underwent surgery plus axillary RT was an alarming 41%. Aside from treatment-related risk factors, a number of patient or disease-related risk factors exist for the development of lymphedema. Postoperative infection or delayed wound healing is associated with heightened lymphedema risk. A much more prevalent risk factor is obesity (body mass index 30 kg/m), which portends a nearly three-fold increase in risk for lymphedema. According to 2009/2010 Centers for Disease Control and Prevention statistics, 36% of all women and 42% of women age 60 years or older are obese in the United States. In the current era, with widening adoption of the findings of the American College of Surgeons Oncology Group (ACOSOG) Z0011 trial, incidence of lymphedema should decline, given that we see decreasing rates of completion ALND among a subset of women undergoing breast-conserving therapy. However, there remains a large population of patients with node-positive disease for whom ALND is still indicated, including those with clinically positive nodes, locally advanced disease, those receiving neoadjuvant chemotherapy, and those undergoing mastectomy. Hence, research into the treatment of this chronic condition remains an important public health issue. Because many lymphedema risk factors are not modifiable, attention has largely been directed at treatment. To this aim, a number of studies have compared efficacy of various treatment options for lymphedema. Treatment options include, alone or in combination, exercise, skin care, compression bandaging, compression garments, manual therapy (massage), laser therapy, and pneumatic pumps. Complex decongestive therapy (CDT) incorporates manual lymphatic drainage, daily bandaging, exercise, and skin care. A systematic review of these therapies was published in 2006 and found that, in general, more intensive treatment by health professionals, such as CDT or manual lymphatic drainage, produced larger volume reductions than therapies undertaken by the patient, such as compression bandaging, exercise, or skin care. Studies of CDT showed an estimated 43% reduction in arm volume compared with only 11% with compression alone. However, excitement over CDT has been tempered by subsequent randomized trials that have thus far failed to demonstrate a significant benefit of CDT over standard compression therapy. In one trial by McNeely et al, 50 women were randomly assigned to 4 weeks of CDT or compression alone. Arm volume decreased significantly with both treatments, but no difference was observed between groups (46% CDT v 39% compression alone; P .22). This study was limited in follow-up to 1 month and did not assess quality-of-life parameters associated with treatment of lymphedema. Another trial by Andersen et al randomly assigned 42 women with lymphedema to CDT versus compression, and observed patients for 12 months. They also found no significant difference in arm volume reduction over the 12-month period between CDT and compression groups (48% v 60%, respectively; P .66). Armed with these data, one might question why yet another randomized controlled trial was necessary to examine this question. Limitations of the above trials included their small size, singleinstitution setting (and sometimes, even single CDT provider), and lack of long-term follow-up. In the article that accompanies this editorial, Dayes et al address all of these limitations in their eloquently designed, randomized, multicenter trial of CDT versus compression bandaging alone for patients with lymphedema. Dayes et al randomly assigned 103 women from six Canadian cancer centers to either CDT or compression bandaging between 2003 and 2009. Type and duration of CDT were standardized across groups, as were arm measurement techniques. Diary logs were JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 31 NUMBER 30 OCTOBER 2

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,024
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,024
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0190,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,443
Tête enseignante GPT0,522
Écart entre enseignants0,078 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations29
Publié2013
Routes d'admission1
Résumé présentoui

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