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Enregistrement W2971426133 · doi:10.1182/blood.v130.suppl_1.2082.2082

Evidence-Based Diagnosis of Venous Thromboembolism: A Systematic Review

2017· review· en· W2971426133 sur OpenAlexaff
Ryma Ihaddadene, Melissa A. Forgie, Philip S. Wells

Notice bibliographique

RevueBlood · 2017
Typereview
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineSystematic reviewMEDLINERandomized controlled trialInclusion and exclusion criteriaIntensive care medicinePulmonary embolismMeta-analysisEvidence-based medicineQuality of evidenceDeep veinMedical physicsThrombosisAlternative medicineSurgeryPathology

Résumé

récupéré en direct d'OpenAlex

Introduction: Venous thromboembolism (VTE), comprising deep vein thrombosis (DVT) and pulmonary embolism (PE), is a common, potentially lethal condition with acute morbidity. The purpose of this systematic review is to evaluate the literature for the evidence supporting the use of algorithms for the diagnosis of DVT and PE with a goal of a) ensuring the evidence is robust, b) determining if diagnostic approaches that don9t use algorithms are acceptable, and c) identifying knowledge gaps that require further research. Methods: this systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A search of PubMed, EMBASE and MEDLINE (1990-May 2017) was conducted. The search was restricted to English-language only. The full text of all abstracts that met the basic eligibility criteria were assessed for inclusion or exclusion by two investigators independently. Disagreements were resolved by consensus.The key inclusion criteria were that the study was a high quality randomized clinical trial (RCT), meta-analysis, systematic review or prospective cohort study. The target outcomes of interest were the overall quality of development of the algorithms for the diagnosis of DVT and PE, the strength of evidence supporting their use, an assessment of the supporting evidence for diagnostic approaches that don9t use algorithms, and the strengths and limitations of the body of evidence. The Scottish Intercollegiate Guidelines Network and the Consolidated Standards of Reporting Trials checklists were used to assess the quality of included RCTs and prospective studies. Assessing the Methodological Quality of Systematic Reviews tool was used to rate the quality of meta-analyses or systematic reviews. Low quality studies were excluded. Results: Twenty-six meta-analyses or systematic reviews, 8 RCTs and 24 well-performed prospective studies informed our review. The approach to the diagnosis of VTE has evolved over the years. There is considerable high quality evidence that an algorithmic approach, which uses a combination of pretest clinical probability and D-dimer testing followed by accurate imaging tests in selected patients, will enable the safest and most cost-effective diagnostic approach in outpatients with suspected VTE. However, these algorithms have not been extensively studied in hospitalized patients, although a few moderate quality studies have shown that imaging without the use of probability and D-dimer could be appropriate in the hospitalized population until further research is available. Imaging tests alone are reasonably accurate but their use without consideration of pretest probability and D-dimer results in over testing with the associated costs and risks. Many other imaging techniques, such as magnetic resonance imaging and single-photon emission computed tomography, have been studied in the diagnosis of PE, however, studies assessing their accuracy and direct comparisons to computed tomography pulmonary angiogram (CTPA) are limited. The widespread availability of CTPA and ultrasound, coupled with the potentially fatal nature of VTE, has resulted in a dramatic increase in the number of patients tested for PE and DVT, resulting in lower rates of positive tests but without a reduction in mortality rates. This increased use of diagnostic imaging could be avoided as many good quality studies have proven that algorithm-based strategies allow for rapid and safe exclusion of DVT or PE, often without diagnostic imaging. For suspected recurrent DVT, ultrasound can result in a false positive test, especially in the setting of prior DVT. The best criteria for diagnosing DVT in patients with prior DVT in the symptomatic leg are not established yet. Since ultrasound abnormalities may persist indefinitely with DVT, the criterion of vein compressibility may not distinguish patients with acute recurrent DVT from patients with chronic findings. Conclusion: The use of clinical decision rules in combination with D-dimer has standardized the diagnostic approaches for VTE. Currently, in most cases, the use of algorithmic strategies is supported by strong evidence as they allow for safe, convenient and cost-effective investigation of outpatients. However, the algorithmic strategies are less useful in hospitalized patients. Further research is also desperately needed in patients with suspected upper extremity DVT and pregnant patients. Disclosures Wells: Bayer Healthcare: Other: Speaker Fees, Ad Board Meeting, Research Funding; Itreas: Other: Writing Committee; Janssen Scientific Affairs, LLC: Consultancy; BMS: Other: Grant Support; Pfizer: Other: Grant Support; Daiichi Sankyo: Other: Speaker Fees.

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)0,036
score de la tête « metaresearch » (Gemma)0,164
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 enseignants0,036
Score d'incertitude au seuil0,192

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0360,164
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0160,013
Bibliométrie0,0180,015
Études des sciences et des technologies0,0010,002
Communication savante0,0050,005
Science ouverte0,0030,003
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,179
Tête enseignante GPT0,390
Écart entre enseignants0,211 · 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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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