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Tempo de espera de pacientes em fila para realização de cirurgia bariátrica e complicações relacionadas

2017· article· pt· W2612149356 on OpenAlexaboutno aff
Anna Larissa de Castro Rego, Giovanna Karinny Pereira Cruz, Diana Paula de Souza Rêgo Pinto Carvalho, Isabelle Campos de Azevedo, Allyne Fortes Vítor, Marcos Antônio Ferreira Júnior

Bibliographic record

VenueRevista de Enfermagem UFPE on line · 2017
Typearticle
Languagept
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

RESUMO Objetivo: determinar o tempo medio de espera de pacientes em fila para realizacao de cirurgia bariatrica e as possiveis complicacoes durante esse periodo. Metodo: revisao integrativa, tendo como questao >, realizada nas bases de dados SCOPUS, SCIENCE DIRECT, CINAHL, PubMed/MedLine, LILACS e biblioteca virtual SciELO. Os dados foram analisados em confronto com a literatura. Resultados: os cinco artigos apresentaram esperas pre-operatorias em torno de 5 anos. As principais complicacoes durante o periodo de espera foram a qualidade de vida e aspectos socioeconomicos prejudicados; obito devido ao agravamento de doencas associadas a obesidade que acometem o individuo; abandono ao tratamento pre-operatorio por falta de disponibilidade de vagas para os retornos de atendimentos multidisciplinares; frustracao e ansiedade. Conclusao: n a analise dos estudos selecionados, apesar de exibir resultados divergentes, a maioria apresentou em torno de 5 anos por serem estudos realizados no Canada . Descritores : Obesidade; Listas de Espera; Tempo para o Tratamento; Obesidade Morbida. ABSTRACT Objective: to determine the average waiting time of patients in the list for bariatric surgery and the possible complications during this period. Method: integrative review, having as guiding question “what is the average waiting time of patients in the queue to perform bariatric surgery and the possible complications during this period?”. It was carried out in the databases SCOPUS, SCIENCE DIRECT, CINAHL, PubMed/MedLine, LILACS and SciELO virtual library. The data were analyzed in comparison with the literature. Results: the five articles had preoperative waiting periods of around 5 years. The main complications during the waiting period were poor quality of life and socioeconomic aspects; death due to aggravation of diseases associated with obesity; abandonment of preoperative treatment due to the lack of availability of vacancies for the multidisciplinary care return visits; frustration and anxiety. Conclusion: according to the analysis of the selected studies, although showing divergent results, most presented around 5 years of wait, since these studies were conducted in Canada . Descriptors : Obesity; Waiting Lists; Time-to-Treatment; Morbid Obesity. RESUMEN Objetivo: determinar el tiempo medio de espera de pacientes en fila para realizacion de cirugia bariatrica y las posibles complicaciones durante ese periodo. Metodo: revision integradora, teniendo como pregunta >, realizada en las bases de datos SCOPUS, SCIENCE DIRECT, CINAHL, PubMed/MedLine, LILACS y biblioteca virtual SciELO. Los datos fueron analizados en confronto con la literatura. Resultados: los cinco articulos presentaron esperas pre-operatorias en torno a los 5 anos. Las principales complicaciones durante el periodo de espera fueron la calidad de vida y aspectos socioeconomicos perjudicados; obito debido al problema de enfermedades asociadas a la obesidad que afectan al individuo; abandono al tratamiento pre-operatorio por falta de disponibilidad de lugares para los retornos de atendimientos multidisciplinares; frustracion y ansiedad. Conclusion: en el analisis de los estudios seleccionados, a pesar de exhibir resultados divergentes, la mayoria presento en torno de 5 anos por ser estudios realizados en Canada . Descriptores : Obesidad; Listas de Espera; Tiempo de Tratamiento; Obesidad Morbida. Normal 0 21 false false false PT-BR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabela normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:Times New Roman,serif;}

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.087
GPT teacher head0.369
Teacher spread0.282 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2017
Admission routes1
Has abstractyes

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