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Enregistrement W2314728175 · doi:10.2106/jbjs.n.00529

Cautious Optimism

2014· letter· en· W2314728175 sur OpenAlexaboutno aff
Samuel A. Taylor, Robert G. Marx

Notice bibliographique

RevueJournal of Bone and Joint Surgery · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueKnee injuries and reconstruction techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAnterior cruciate ligamentPerioperativeLigamentSurgery

Résumé

récupéré en direct d'OpenAlex

Commentary Surgeons must balance the infection risk associated with fresh-frozen allograft tissue with the potential biomechanical inferiority of terminally irradiated tissue. The authors of the present study have made strides toward identifying a compromise between sterility and stability. We would suggest to the readers, however, that these are biomechanical results from the laboratory and do not represent patient outcomes. Thus, before the implementation of electron beam (e-beam) sterilization strategies, in vivo animal models should be investigated for biomechanical durability and histologic incorporation. ACL (anterior cruciate ligament) reconstruction involving allograft tissue has seen marked fluctuation with regard to use, acceptance, and excitement. Initially, allografts seemed to be the answer to reducing perioperative pain, limiting morbidity, and hastening recovery. This early enthusiasm has more recently been tempered by studies reporting significantly higher revision rates for ACL reconstructions performed with allograft compared with autograft tissue. The MOON group determined that use of allograft was a predictor of worse outcomes for the IKDC (International Knee Documentation Committee) questionnaire and KOOS (Knee injury and Osteoarthritis Outcome Score)1 and that the odds of revision were four times higher among those who underwent ACL reconstruction with allograft compared with autograft2. A meta-analysis of 5182 patients reported a threefold increase in the rerupture rate for BTB (bone-patellar tendon-bone) allograft reconstruction (12.7%) compared with BTB autograft (4.4%)3. A Canadian study involving nearly 13,000 ACL reconstructions indicated that allograft use was an independent risk factor for revision within five years4. Another study of 122 military cadets who had undergone ACL reconstruction prior to matriculation demonstrated that those who underwent allograft reconstruction were 7.7 times more likely to undergo subsequent revision5. When reading the above studies, it is important to remember that these were often mixed cohorts with regard to graft fixation and, perhaps more importantly, allograft processing. The critical question remains: Is the problem the allograft tissue itself or the manner in which it is processed? Although this answer remains elusive, the authors of the present study have made a valiant effort to address this question. It would appear that processing does play a role in graft failure. For example, high-dose gamma irradiation has been demonstrated to have detrimental effects on the biomechanical properties of grafts6-10. In response, some surgeons have traded the biomechanical risk for infection and immunologic risks—turning to fresh-frozen, nonirradiated, allograft tissue. This exodus is supported by several recent clinical outcomes studies. A systematic review, for example, revealed no difference between autograft and non-chemically processed, nonirradiated allograft. Mariscalco et al.11 identified nine prospective or retrospective comparative studies that compared autograft with nonirradiated allograft ACL reconstruction and failed to identify any significant differences between graft types with regard to failure, instrumented laxity, or subjective outcome measures. Another study of a younger population (less than twenty-five years old) retrospectively compared fifty-three patients who underwent BTB autograft with twenty-eight patients who underwent nonprocessed BTB allograft reconstruction and also found no difference with regard to the aforementioned outcome measures12. Guo et al.13 identified three cases of acute synovitis that they believed were secondary to immunologic rejection among thirty-three patients who underwent fresh-frozen allograft ACL reconstruction. Is there a compromise that could reduce infection and immunogenicity while preserving mechanical properties? Perhaps e-beam irradiation is the solution. In fact, e-beam irradiation was shown previously to more closely preserve graft properties compared with gamma irradiation14. The follow-up study, however, demonstrated adverse biomechanical effects of high-dose e-beam irradiation in an in vivo sheep ACL model15. Other investigators found that allografts treated with low16,17, moderate18, and even high-dose gamma irradiation16 had comparable biomechanical properties to nonprocessed allograft in the laboratory, but the clinical outcomes in patients have not supported this method for allograft sterilization1-5. Although the present study uses sound methodology and does a very good job investigating a clinically relevant question, we would caution against the implementation of e-beam sterilization for clinical use, at least until additional animal studies validate these interesting laboratory findings.

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)0,017
score de la tête « metaresearch » (Gemma)0,110
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: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,087

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,110
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0050,017
Communication savante0,0110,016
Science ouverte0,0070,007
Intégrité de la recherche0,0350,071
Charge utile insuffisante (le modèle a refusé de juger)0,0250,016

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 Opus0,027
Tête enseignante GPT0,246
Écart entre enseignants0,219 · 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
GenreAutre

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

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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