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Record W2693102841

Prevenção do tromboembolismo na cirurgia do câncer do aparelho digestivo Thromboembolism prevention in surgery of digestive cancer

2012· article· pt· W2693102841 on OpenAlexaboutno aff
Osvaldo Malafaia, André L. Montagnini, Angélica Luchese, Antônio Carlos Accetta, Bruno Zilberstein, Carlos Alberto Malheiros, Carlos Eduardo Jacob, Claudemiro Quireze, Cláudio José Caldas Bresciani, Cléber Dario Pinto Kruel, Ivan Cecconello, Eduardo Fonseca Sad, J Ohana, José Eduardo de Aguilar‐Nascimento, José Eduardo Ferreira Manso, Jurandir Marcondes Ribas-Filho, Marco Aurélio Santo, Nelson Adami Andreollo, Orlando Jorge Martins Torres, Paulo Herman, Ronaldo Máfia Cuenca, Rubens Antônio Aissar Sallum, Wanderley Marques Bernardo

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCancerVenous thromboembolismInternal medicineThrombosis
DOInot available

Abstract

fetched live from OpenAlex

RACIONAL: Tromboembolismo venoso é complicação frequente após tratamento cirúrgico em geral e, de um modo especial, na condução terapêutica do câncer. A cirurgia do aparelho digestivo tem sido referida como potencialmente indutora desta complicação. Os pacientes com câncer digestivo, têm risco substancialmente aumentado de iniciarem ou de terem recorrência de processo tromboembólico. OBJETIVO: Oferecer aos cirurgiões que atuam na cirurgia digestiva e geral orientação segura sobre como efetuar a tromboprofilaxia dos pacientes que necessitam de operações no tratamento de doenças malignas digestivas. MÉTODOS: A Diretriz foi baseada a partir da elaboração de 15 questões clínicas relevantes e relacionadas ao risco, tratamento e prognóstico do paciente submetido ao tratamento cirúrgico do câncer do aparelho digestivo. Elas focaram tanto os eventos tromboembólicos associados às operações quanto os aspectos relacionados à sua profilaxia. As questões foram estruturadas por meio do P.I.C.O. (Paciente, Intervenção ou Indicador, Comparação e Outcome), permitindo gerar estratégias de busca da evidência nas principais bases primárias de informação científica (Medline/Pubmed, Embase, Lilacs/Scielo, Cochrane Library, Premedline via OVID). Também foi realizada busca manual da evidência e de teses (BDTD e IBICT). A evidência recuperada foi selecionada a partir da avaliação crítica utilizando instrumentos (escores) discriminatórios de acordo com a categoria da questão: risco, terapêutica e prognóstico (JADAD para Ensaios Clínicos Randomizados e New Castle Otawa Scale para estudos não randômicos). Após definir os estudos potenciais para sustento das recomendações, eles foram selecionados pela força da evidência e grau de recomendação segundo a classificação de Oxford, incluindo a evidência disponível de maior força. RESULTADOS: Foram avaliados 53.555 trabalhos pelo título e/ou resumo. Deste total foram selecionados (1ª seleção) 478 trabalhos avaliados pelo texto completo. A partir deles, para sustentar as recomendações, foram incluídos neste consenso 132 trabalhos. As 15 perguntas formuladas puderam ser respondidas com artigos com grau de evidência correspondentes à 31 A, 130 B, 1 C e 0 D. CONCLUSÃO: Esta revisão possibilitou elaborar orientação segura para a profilaxia do tromboembolismo nas operações sobre o câncer do aparelho digestivo, abordando os tópicos mais frequentes do quotidiano do trabalho dos cirurgiões gerais e do aparelho digestivo.<br>BACKGROUND: The venous thromboembolism is a common complication after surgical treatment in general and, in particular, on the therapeutic management on cancer. Surgery of the digestive tract has been reported to induce this complication. Patients with digestive cancer have substantial increased risk of initial or recurrent thromboembolism. AIM: To provide to surgeons working in digestive surgery and general surgery guidance on how to make safe thromboprophylaxis for patients requiring operations in the treatment of their gastrointestinal malignancies. METHODS: The guideline was based on 15 relevant clinical issues and related to the risk factors, treatment and prognosis of the patient undergoing surgical treatment of cancer on digestive tract. They focused thromboembolic events associated with operations and thromboprophylaxis. The questions were structured using the PICO (Patient, Intervention or Indicator, Comparison and Outcome), allowing strategies to generate evidence on the main primary bases of scientific information (Medline / Pubmed, Embase, Lilacs / Scielo, Cochrane Library, PreMedline via OVID). Evidence manual search was also conducted (BDTD and IBICT). The evidence was recovered from the selected critical evaluation using discriminatory instruments (scores) according to the category of the question: risk, prognosis and therapy (JADAD Randomized Clinical Trials and New Castle Ottawa Scale for studies not randomized). After defining potential studies to support the recommendations, they were selected by the strength of evidence and grade of recommendation according to the classification of Oxford, including the available evidence of greater strength. RESULTS: A total of 53,555 papers by title and / or abstract related to issue were found. Of this total were selected (1st selection) 478 studies that were evaluated as full-text. From them to support the recommendations were included in the consensus 132 papers. The 15 questions could be answered with evidence grade of articles with 31 A, 130 B, 1 C and 0 D. CONCLUSION: It was possible to prepare safe recommendations as guidance for thromboembolism prophylaxis in operations on the digestive tract malignancies, addressing the most frequent topics of everyday work of digestive and general surgeons.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.011
Open science0.0080.004
Research integrity0.0010.002
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 head0.291
GPT teacher head0.562
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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