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Enregistrement W2930876421 · doi:10.1182/blood-2018-99-114999

Predictors of Post-Thrombotic Syndrome (PTS) in Pediatric Thrombosis: A Systematic Review and Meta-Analysis of the Literature

2018· review· en· W2930876421 sur OpenAlexaff
Elissa Engel, Manuela Albisetti, Leonardo R. Brandão, Ernest K. Amankwah, Anthony Nguyen, Neil A. Goldenberg, Marisol Betensky

Notice bibliographique

RevueBlood · 2018
Typereview
Langueen
DomaineHealth Professions
ThématiqueCentral Venous Catheters and Hemodialysis
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésMedicinePost-thrombotic syndromeMEDLINEMeta-analysisPediatricsCochrane LibraryVenous thrombosisThrombosisSystematic reviewComplicationPsychological interventionInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: Post-thrombotic syndrome (PTS) is the most common long-term complication in pediatric deep venous thrombosis (DVT), affecting approximately 25% of children with an extremity DVT. PTS leads to a high physical, psychological and financial burden in affected patients. Although several risk factors have been associated with the development of pediatric PTS, few of them have been validated in the pediatric literature. A better understanding of the prognostic factors leading to PTS is a vital step for early identification of those children at greatest risk in order to develop risk-stratified interventions aimed at preventing this complication. AIM: To perform a systematic review and meta-analysis of available published evidence from the pediatric literature on prognostic factors for pediatric PTS. METHODS: A systematic search of MEDLINE, EMBASE, and the Cochrane Library from 1960 to December 2017 was performed. MeSH terms and search strategy employed were as follows: "postthrombotic syndrome" OR "postphlebitic syndrome" AND "all child 0-18 years" AND "young adult 19-24 years". A study was eligible for inclusion if it evaluated the development of PTS in pediatric patients (<21 years of age) with a confirmed extremity DVT and reported on at least one prognostic factor for the development of PTS. Single case reports, narrative reviews, and commentaries were excluded. Studies assessing the efficacy/safety of thrombolysis, and studies including patients >21 years of age with outcomes not reported by age group, were also excluded. Two reviewers independently screened all studies and extracted the data of interest. Data were analyzed using STATA v.15 statistical software. Meta-analyses were conducted for risk factors reported in at least three studies. Summary odds ratios (ORs) and 95% confidence intervals (CI) were calculated from the effect estimates from the individual studies using a random effects model. Statistical heterogeneity was quantified by I2 statistic. RESULTS: A total of 12 studies met the final inclusion criteria (Figure 1), nine cohort studies, two cross-sectional studies, and one case-control study. These studies reported a total of 1,160 patients with venous thromboembolism (VTE), of whom 938 (81%) were assessed for PTS (Table 1). Median age across studies ranged from 0.02 - 15.5 years. VTE was considered provoked in nearly 80% of patients. The most common reported risk factor for VTE was the presence of a central venous catheter (CVC, 54%) followed by congenital heart disease (26%). PTS was diagnosed in 46% (n=434) of patients with an extremity DVT. The median time from DVT diagnosis to PTS diagnosis ranged from 12 to 33 months across studies. Among studies reporting this information, mild PTS was most frequently diagnosed, followed by moderate and severe PTS (35%, 5% and 0.6% of patients respectively). Most common prognostic factors associated with PTS in individual studies included patient characteristics: age and gender; and DVT characteristics: recurrent DVT, symptomatic DVT, DVT degree of occlusion, and time between DVT diagnosis and PTS assessment. Three studies investigated the association of elevated factor VIII and d-dimer levels with PTS. Elevated levels of these biomarkers were found to be associated with development of adverse VTE outcomes in one study but this finding was not confirmed in the other studies. Meta-analysis of reported prognostic factors identified the presence of a CVC and occlusive DVT as significant risk factors for the development of pediatric PTS (OR= 1.8, 95%CI=1.08-2.98, and OR=1.89, 95%CI=1.04-3.46 respectively; Figure 2). CONCLUSION: Among 12 studies evaluating prognostic factors for PTS in children and meeting criteria for this meta-analysis, CVC-related DVT and complete occlusion were associated with pediatric PTS. Overall, high-quality evidence on pediatric PTS is lacking. Collaborative prospective cohort studies and trials that use validated pediatric PTS measures and standardized prognostic factor definitions are needed to better understand the risk factors associated with PTS. Disclosures No relevant conflicts of interest to declare.

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)0,009
score de la tête « metaresearch » (Gemma)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,026
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0140,026
Bibliométrie0,0070,009
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0020,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,070
Tête enseignante GPT0,368
Écart entre enseignants0,299 · 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'étudeMéta-analyse
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

Citations5
Publié2018
Routes d'admission1
Résumé présentoui

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