Adjust-Unlikely pulmonary embolism testing using telephone recruitment: a pilot study to assess the feasibility of evaluating its safety and efficiency
Notice bibliographique
Résumé
BACKGROUND: Studies on pulmonary embolism (PE) rule-out strategies traditionally recruited patients in the ED. This method is increasingly impractical given excessive pressures experienced in EDs. Attempting to reach patients after leaving the ED may be more feasible. The aim of this study was to assess the feasibility of recruiting and following patients for an ED PE testing study by telephone. METHODS: This was a prospective pilot study conducted in one ED and one urgent care centre in Ontario, Canada. Adult patients tested for PE using Adjust-Unlikely (a simple decision rule combining Gestalt with age-adjusted D-dimer) were called for consent after leaving the ED. Patients were followed for 90 days by medical record review plus telephone, text or email to identify subsequent venous thromboembolism testing. Venous thromboembolism events were independently adjudicated. Feasibility outcomes were recruitment rate, missed eligible rate and follow-up rate. Progression criteria were a recruitment rate of at least five participants per site, per week, a missed eligible rate of no more than two patients per site, per week, and a follow-up rate of at least 90% of enrolled patients. RESULTS: 684 patients were tested for PE between 24 March and 10 June 2023. A total of 210 patients were excluded. From 474 eligible patients, 200 were recruited. Median age was 58 years, 72.2% were female, and 3.5% were diagnosed with PE on index visit. Median recruitment rate was 7 participants per site, per week (first-third quartile (Q1-Q3), 4-14) and median missed eligible rate was 6 patients per site, per week (Q1-Q3, 3-8). After 90 days, 2 participants withdrew and 191/198 (96.5%, 95% CI 92.9, 98.3%) were contacted in follow-up. 143/198 (72.2%, 95% CI 65.6, 78.0%) participants did not require pulmonary imaging because PE was excluded by Adjust-Unlikely. 1/143 (0.7%, 95% CI 0.1, 3.9%) of these participants was diagnosed with PE in the segmental pulmonary arteries during follow-up. CONCLUSIONS: Telephone recruitment did not meet predefined feasibility thresholds as the missed eligible rate was high. However, the recruitment rate was higher than in previous studies, and there was minimal loss to follow-up.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,035 | 0,038 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».