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Enregistrement W3015614825 · doi:10.25270/wmp.2020.4.2637

Topical Management of Enterocutaneous and Enteroatmospheric Fistulas: A Systematic Review

2020· review· en· W3015614825 sur OpenAlexaff
Heather Harris Wright, Stephanie Kearney, Kevin Zhou, Kevin Woo

Notice bibliographique

RevueWound Management & Prevention · 2020
Typereview
Langueen
DomaineMedicine
ThématiqueAbdominal Surgery and Complications
Établissements canadiensQueen's UniversitySunnybrook Health Science CentreQueensway-Carleton HospitalNuu Chah Nulth Tribal Council
Organismes subventionnairesnon disponible
Mots-clésEnterocutaneous fistulaMedicineSurgeryFistula

Résumé

récupéré en direct d'OpenAlex

Enterocutaneous (ECF) and enteroatmospheric (EAF) fistulas are associated with considerable morbidity and patient care challenges, including optimal topical management. PURPOSE: A systematic literature review was conducted to identify topical management interventions used in ECF/EAF care and to explore the role of these interventions in fistula closure and long-term fistula management. METHODS: A search of PubMed, the Cumulative Index of Nursing and Allied Health Literature, and Scopus was conducted to identify English-language articles published from January 2004 to January 2019. The keywords enterocutaneous fistula, enteroatmospheric fistula, negative pressure wound therapy, NPWT, vacuum-assisted closure, VAC, pouch or pouching, troughing, bridging, collection device, dressing, and wound care were used to identify all publications pertaining to the topical management of adult and mixed adult/pediatric patients with an ECF or EAF. Single-person case studies, exclusively pediatric studies, surgical treatment-based, and duplicate publications were excluded. Abstracts were screened for relevance to the research questions, and eligible publications were abstracted and categorized using The Oxford Centre for Evidence-Based Medicine Levels of Evidence. The Joanna Briggs Institute (JBI) critical appraisal checklist for case series was used to assess each article for risk of bias and methodological quality. Outcomes of interest included patient demographics, closure rates, fistula classification (type of fistula, fistula output, fistula origin), type of topical treatment, adverse events (pain, new fistula formation, fistula recurrence, mortality), follow-up, long-term management, perifistula skin protection, effluent management, dressing change frequency, and quality of life. Descriptive statistics were presented; no statistical analysis was performed. RESULTS: Of the 983 articles identified, 57 underwent critical appraisal using the JBI checklist for case series. Forty-two (42) did not meet the inclusion criteria, leaving 15, level IV, case-based publications (N = 410 patients). No randomized controlled trials were found. All studies included some form of negative pressure wound therapy. JBI results found that each study was at high risk of bias in more than 2 domains. Interventions were categorized as intubation, occlusion, or isolation of the fistula. Of the 559 fistulas treated, spontaneous closure was reported in 164 cases, with rates ranging from 0% to 100%. Adverse events to treatment included pain (n = 33 patients), new fistula formation (n = 12), and fistula recurrence (n = 1). Sepsis was the leading cause of mortality (n = 29), with reported rates ranging from 0% to 44%. CONCLUSION: Due to the high risk of study bias and low quality of evidence, the exact contribution of any one intervention could not be established. Results also suggest a high risk of publication bias, and patient-centered outcomes were reported in only 1 study. Although topical management might play a role in fistula closure, it is only as part of a comprehensive plan of care. Future research should focus on developing and using standardized reporting tools, classifications, and outcomes and include patient-centered outcomes such as acceptance, tolerability, pain, and quality of life relating to any one intervention. At this time, the evidence base for management recommendations is limited, suggesting that interventions should mainly be based on practical considerations such as resources and clinician skill.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,412
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,030
Tête enseignante GPT0,328
Écart entre enseignants0,298 · 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 tête enseignante, pas un consensus.

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

Citations16
Publié2020
Routes d'admission1
Résumé présentoui

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