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Enregistrement W4401462825 · doi:10.1111/acem.15001

Is older age an appropriate criterion alone for ordering cervical spine <scp>CT</scp> after trauma

2024· article· en· W4401462825 sur OpenAlexaboutno aff
Rachel D. Rodriguez, Shannon Greenberg

Notice bibliographique

RevueAcademic Emergency Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueSpinal Fractures and Fixation Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCervical spineSurgery

Résumé

récupéré en direct d'OpenAlex

The authors raise an interesting question. To date, studies evaluating cervical spine clearance in elderly patients are limited to retrospective, single institution studies. The authors add to this body of literature and frame it in the context of radiology resource utilization. Indeed, significant numbers of unnecessary scans could delay the reading of other critical imaging. It is a worthy goal to continually reevaluate our current standards of practice to optimize patient care. The Canadian C-Spine Rule1 is the most commonly used clearance guideline in current practice, and it recommends universal imaging for patients aged 65 and older. There are currently no additional evidence-based guidelines or expert consensus recommendations on geriatric cervical spine clearance from our professional trauma societies. As Healy et al.2 describe in their discussion, the Eastern Association for the Surgery of Trauma practice management guidelines for identification of cervical spine injuries following trauma does not mention age,3 the evaluation and management of geriatric trauma guideline makes no recommendations on imaging,4 and the cervical spine collar clearance guideline is only for obtunded patients.5 In this study, the authors reviewed cervical spine imaging from two hospitals from 2018 to 2023 for patients aged 65 and older. They identified 9455 scans in 7114 patients, as 514 patients had two scans and 244 had more than two scans in the study period. Out of all scans, 192 had cervical spine fractures and 28 (14.6%) were categorized as asymptomatic. The authors subsequently stratified by age groups and reported a 1.68% rate of fracture and 0.18% rate of asymptomatic fractures in patients aged 65–70. In their discussion, they raise the question of whether this number of positive studies is worth the workload implications for radiologists. There are several important limitations of this study. First, the small number of asymptomatic patients with fractures (28) in the study and how the rates were calculated limit the conclusions that can be drawn. They calculated the rate of asymptomatic fracture in patients aged 65–70 by taking the number of asymptomatic fractures and dividing by the total number of cervical spine CT scans in this age category. However, 758 patients had more than one scan. It is unclear whether this represented serial imaging in the same hospital stay or separate encounters. There is also no detail regarding the indications for the scans, particularly for the repeat scans performed on a single patient. Was there a new trauma mechanism or were these follow-up scans? This changes whether they should be included in the analysis. The authors did not review the 9263 patients without fracture for indications for the scans or to determine if the patients were symptomatic versus asymptomatic. Some scans may not have been performed for trauma. It is also likely that a significant number of these patients would have met indications for scanning other than age and would, therefore, not represent the true burden of asymptomatic scanning. Without the true denominator, it is impossible to accurately estimate the burden in terms of radiology workload. Second, the authors made an estimate of stable versus unstable fracture based on the number who underwent surgical fixation. This is not an accurate proxy for clinically significant fractures, as some significant fractures may be successfully treated with bracing, and some patients may choose not to undergo fixation. Thus, no definitive conclusions can be drawn from the paper on how many clinically significant fractures would have been missed. Third, a retrospective review of the chart may have limited accuracy in determining whether the patient was truly symptomatic or asymptomatic. Copy and pasting and default normal physical examination template usage in the electronic medical record may, unfortunately, make the written record less accurate. Lastly, we must consider other literature on this topic. For example, Healy et al.2 performed a retrospective study of patients aged 55 and older over a 4-year study period. They identified 173 patients with cervical spine fractures, of whom 36 patients (21%) were asymptomatic. The authors concluded that one in five patients with a cervical spine fracture reported no pain on initial presentation and recommended liberal cervical spine imaging for older trauma patients. Kania et al.6 evaluated the concept of scanning the head, cervical spine, and chest/abdomen/pelvis (pan-scan) regardless of physical examination in the elderly with low-energy mechanism. They found that 107/256 asymptomatic patients had an injury identified with imaging and concluded that physical examination lacks adequate sensitivity in the geriatric population. Essentially, we can conclude from the available literature that some clinically significant asymptomatic injuries may be missed when imaging is not performed in patients aged 65 and older. The real, more difficult question is how many injuries are we willing to miss as clinicians? Considering the potential harm of a missed cervical spine injury, this paper lacks sufficient evidence to change practice. However, we should continue to examine our clinical guidelines and gather data to determine whether continued practice is supported or whether the evidence suggests it is time for practice change. Specifically, can we better study the characteristics of asymptomatic patients with injuries to attempt to better identify those whose examinations are less reliable and those that might be sufficiently sensitive to exclude injury? The authors declare no conflicts of interest.

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)0,005
score de la tête « metaresearch » (Gemma)0,054
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,054
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,003
Science ouverte0,0010,001
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

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 Opus0,046
Tête enseignante GPT0,382
Écart entre enseignants0,336 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2024
Routes d'admission1
Résumé présentoui

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