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Enregistrement W2024309195 · doi:10.1097/00042752-200603000-00001

Recognizing and Challenging Dogma

2006· editorial· en· W2024309195 sur OpenAlexaff
Ian Shrier

Notice bibliographique

RevueClinical Journal of Sport Medicine · 2006
Typeeditorial
Langueen
DomaineMedicine
ThématiqueKnee injuries and reconstruction techniques
Établissements canadiensJewish General Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineLymphedemaQuality of life (healthcare)Clinical PracticeIntensive care medicineChronic venous insufficiencyPhysical therapyBreast cancerSurgeryCancerInternal medicineNursing

Résumé

récupéré en direct d'OpenAlex

Patients and other health care professionals often ask sport medicine physicians to comment on the value of a diagnostic test or treatment. In controversial areas, most of us would respond cautiously. When there is no apparent controversy, we often repeat current recommendations without hesitation or reservations. This simple practice may perpetuate inaccurate dogma (“a point of view or tenet put forth as authoritative without adequate grounds”1) in clinical practice. Dogma unchallenged over the last 30 years dictated that stretching before exercise improves performance. In reality, there are no studies showing this practice is beneficial and 22 studies showing that it either has no effect or is in fact detrimental.2 The effect of stretching is only one example of many. Three other areas of contemporary clinical practice in which clinicians may not realize that our decisions are based on dogma rather than evidence are described here. Clinicians often counsel patients with edematous limbs to avoid exercise because it is believed that exercise increases swelling. New research suggests that exercise has no effect on swelling and actually improves quality if life in patients with lymphedema secondary to breast cancer treatment.3 In addition, our own group has shown that exercise 1 month after a deep venous thrombosis is associated with a reduction in symptoms and reduced swelling.4 Nonsteroidal antiinflammatory drugs (NSAIDs) are believed to reduce swelling after a traumatic injury. However, NSAIDs had no effect on acute posttraumatic swelling in the 4 studies retrieved that used water displacement to measure volume changes (considered the most objective and reliable measure of volume).5–8 Theoretically, medications would not be expected to reduce swelling resulting from bleeding. Reconstruction of the anterior cruciate ligament (ACL) is often promoted as necessary to reduce the risk of osteoarthritis (OA). Daniel et al9 found no difference in the severity of OA between individuals with unstable knees who opted for early surgery and those who did not. Although this study contradicts current opinion and has limitations (eg, certain subjects excluded, length of follow-up not reported), it is supported by another investigation demonstrating that anterior–posterior instability after ACL reconstruction did not predict the development of OA.10 There are several possible theoretical paradigms that merit consideration in assessing these findings. Current surgical techniques that restore anterior–posterior stability may increase the risk of irreducible tibial subluxation,11 do not restore tibial rotation,12 do not restore proprioception, and, if OA is a result of cartilage damage at the time of injury, reconstruction is after the fact and would have no effect. These examples represent strongly held and entrenched beliefs that many clinicians likely believe were based on solid evidence. In reality, much of clinical practice is based on dogma rather than evidence. The first step toward improving the care we provide to our patients is recognizing which treatments are based on evidence. This requires improvements by both producers and consumers of knowledge. First, producers of knowledge should never cite other work without reading the original research. This would reduce the risk of one person's misinterpretation being continually referenced as fact. Second, consumers of knowledge should challenge current theories as strongly as they challenge new ones. Most of us immediately look for reasons to ignore results that are not in accord with our personal paradigm. Challenging new theories is essential, but we must at the same time apply the same standard to the old theory. In the case of the relationship between ACL repair and the development of OA, we are unlikely to question the long-held view that ligaments provide stability to a joint, and that without ligamentous stability, there is increased articular and meniscal cartilage wear. Is this paradigm true? When a Lachman or anterior drawer test is performed, anterior–posterior movement of the tibiofemoral joint can always be produced with minimal amounts of force. This same movement does not occur when one walks, runs, or jumps. Therefore, it is impossible that the ligaments are the sole source of stability during movement, and coordinated muscle activity is the likely source of “dynamic stability.”14 In this paradigm, ligaments contribute proprioceptive information essential to appropriate muscle activity and coordination,15 and primarily act as a secondary restraint when muscles fail (ie, to prevent excessive damage to major blood vessels and nerves). There is some evidence that muscle dysfunction is an important cause of primary OA,16,17 and loss of proprioception after injury could be an important mechanism leading to muscle dysfunction. If so, ACL reconstruction would only prevent OA if it restored the proprioceptive feedback loops that were lost with the original injury, but it does not.18 Finally, in this paradigm, ACL reconstruction would increase OA if the surgery further damages surrounding muscles and these were not properly rehabilitated. In considering these examples, it is clear that we do not yet know which theory best describes clinical reality. It should be equally clear that any proposed new paradigms may be completely false. It is most important that we are constantly aware of the existence and quality of evidence that support or refute any approach to clinical management. We must refrain from propagating theory as fact, and challenge our mentors and ourselves with the same vigor with which we challenge our students.

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)0,044
score de la tête « metaresearch » (Gemma)0,180
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: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil0,232

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0440,180
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0100,042
Communication savante0,0140,032
Science ouverte0,0050,012
Intégrité de la recherche0,0290,066
Charge utile insuffisante (le modèle a refusé de juger)0,0140,007

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 GPT0,390
Écart entre enseignants0,363 · 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

Citations5
Publié2006
Routes d'admission1
Résumé présentoui

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Même revueClinical Journal of Sport MedicineMême sujetKnee injuries and reconstruction techniquesTravaux en français237 207