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Record W3015614825 · doi:10.25270/wmp.2020.4.2637

Topical Management of Enterocutaneous and Enteroatmospheric Fistulas: A Systematic Review

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

Bibliographic record

VenueWound Management & Prevention · 2020
Typereview
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsQueen's UniversitySunnybrook Health Science CentreQueensway-Carleton HospitalNuu Chah Nulth Tribal Council
Fundersnot available
KeywordsEnterocutaneous fistulaMedicineSurgeryFistula

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.328
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2020
Admission routes1
Has abstractyes

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