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Enregistrement W2277356941 · doi:10.1007/s11999-015-4207-z

Cochrane in CORR ®: Platelet-rich Therapies for Musculoskeletal Soft Tissue Injuries (Review)

2015· review· en· W2277356941 sur OpenAlexaff
Moin Khan, Asheesh Bedi

Notice bibliographique

RevueClinical Orthopaedics and Related Research · 2015
Typereview
Langueen
DomaineMedicine
ThématiquePeriodontal Regeneration and Treatments
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineRandomized controlled trialPlaceboPlatelet-rich plasmaDry needlingClinical trialSports medicinePsychological interventionSoft tissuePhysical therapyAutologous bloodIntensive care medicineSurgeryInternal medicinePathologyPlateletAlternative medicine

Résumé

récupéré en direct d'OpenAlex

Importance of the Topic Soft tissue injuries represent more than 50% of all musculoskeletal injuries reported each year in the United States [8]. The diagnosis and management of such injuries represent a substantial financial burden, estimated at more than USD 15.8 billion annually [6]. The use of autologous blood concentrates, particularly platelet-rich plasma (PRP), has exponentially grown as a result of significant media attention and use among high-level athletes [9]. While originally used to manage dermatologic and oromaxillofacial conditions, musculoskeletal applications related to bone and soft tissue injury have become widespread [9]. The market for PRP was valued at USD 45 million in 2009 and is expected to be worth more than USD 120 million by 2016 [7]. PRP is defined as a sample of autologous blood with supraphysiological concentrations of platelets [2]. Once activated, platelets release bioactive proteins and growth factors that are thought to aid and promote healing [2], but there is substantial controversy regarding their efficacy [3]. Rigorous evaluation of the available evidence can inform clinicians regarding optimal treatment options for patients. This Cochrane review evaluated all randomized and quasi-randomized controlled trials (19 trials, 1088 patients), of PRP versus placebo, autologous whole blood, dry needling, or no PRP therapy across eight clinical indications. Upon Closer Inspection Heterogeneity can be qualified as either clinical or methodological. The former is defined as variability among studies with regards to participants, interventions, and outcomes and the latter relates to variability in study design and risk of bias [1]. The presence of either of these can result in variability in the intervention effect across studies beyond that which might be expected due to chance alone, which is known as statistical heterogeneity [1]. High-quality meta-analysis should present and evaluate the ways in which results differ between studies. The reader can then judge and explore the reasons for variance in the results and the degree to which the difference influences his or her ability to use the conclusions derived from data pooling [5]. Such exploration and direction of anticipated effect should be specified a priori to reduce the risk of potentially arriving at spurious correlations [10]. A major confounding factor identified in this review of PRP is the heterogeneity of the included studies, particularly with chronicity of injuries, timing of interventions, outcomes reported, and most importantly, a lack of standardization in the application of PRP. More than 40 commercial PRP systems are available and each product may contain differing concentrations of platelets, leukocytes, and growth factors [2]. Included studies varied in the timespan between PRP preparation and delivery, method of delivery (image, arthroscope, direct vision, or no guidance), number of PRP applications, and postoperative cointerventions [4]. Variability in the intervention, as identified by the study authors, may bias the results (eg, comparing preparations with high platelet concentrations versus those with low concentrations). Overall, the evidence was considered low quality, given the uncertainty related to estimates of effect, according to the GRADE approach. Selective reporting was also identified by the study authors as a potential bias in this review. Of the 19 included trials, 11 did not provide a priori protocol or trial registration details for the study, which may bias results in favor of the intervention. Research transparency is improved through publication of such details and allows for identification of selective reporting such as adverse events or surrogate outcomes, which may not be clinically relevant. Take-home Messages This Cochrane systematic review and meta-analysis found no benefit attributable to PRP for short-, medium-, or long-term function. Short-term improvements in pain were identified but the effect sizes were small, and unlikely to be clinically important. These results are similar to other recent systematic reviews and meta-analyses on this subject [9]. This review of best available evidence adds to our understanding that PRP use for musculoskeletal soft tissue injuries is currently unsupported. This review highlights the difficulty with assessment of the efficacy of PRP interventions in orthopaedics and leaves open the possibility that indeed they are not effective. Factors include the lack of standardization and substantial variations in the concentration of platelets and growth factors among available commercial PRP systems [2]. Furthermore, the most efficacious platelet concentrations are not known, dose-response curves are not linear, saturation effects have been described, and the ideal timing of intervention and elution kinetics of growth factors require further evaluation [2]. Current evidence is not sufficient to conclude that PRP provides clear clinical benefit and augmentation of soft tissue healing. Further research through large methodologically rigorous trials with standardized PRP preparations are required to improve understanding related to indications for PRP.

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)0,003
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil0,111

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0070,004
Bibliométrie0,0100,010
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0020,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0330,003

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 Opus0,197
Tête enseignante GPT0,558
Écart entre enseignants0,361 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations24
Publié2015
Routes d'admission1
Résumé présentoui

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