Complicaciones transoperatorias y postoperatorias de la cirugía bariátrica. Una revisión sistemática
Bibliographic record
Abstract
Introduction: Obesity is a pathological state that influences the development of various diseases behaving as a risk factor by increasing the probability of developing diabetes, hypertension and atherosclerosis in people suffering from it. There is a variation in the response to treatment, so, there must be a customization in management with a multidisciplinary approach, which also includes the application of bariatric surgery, but it is vital to recognize the complications of this surgical procedure. Objective: Describe the types of trans operative or postoperative complications in bariatric surgery and the relationship between surgical approach, hospital time, morbidity and mortality. Materials and methods: Accurate and concise clear articles were collected from databases such as: the accreditation and quality improvement program for metabolic and bariatric surgery (MBSAQIP) from bariatric surgery centers in the United States and Canada, Canadian National Re-entry Register (NRD), Cochrane Database System, Pubmed, ScienceDirect, Mendeley, Academic Google, IntechOpen last viewed November 19, 2023. Results: Among the most observed complications in bariatric surgery are those related to the surgical act and the need for conversion for open surgery due to leakage of the anastomosis, among the respiratory complications, first is the pulmonary embolism. Deep vein thrombosis accounts for 6% of complications, which can be treated with anticoagulation or mechanical compression measures, the combination of mechanical and pharmacological prophylaxis with heparin can reduce venous thrombosis events in people undergoing bariatric surgery compared to mechanical prophylaxis alone, pneumonia and surgical site infections in addition to fistulas and leaks after bariatric surgery are 1 to 5%. Conclusions: The complications and mortality of bariatric surgery represent a relatively low percentage, however it is important to know in depth the most frequent complications in the long and short term, whereas serious complications, such as uncontrollable bleeding, lead to the need for conversion to open surgery, the reintervention of which is carried out for control by second intensity, as regards late complications, Highlight : gastroesophageal reflux disease and nutritional deficits, being the most observed and can affect various systems such as skeletal and neurological muscle, but that, can be managed with proper postoperative control.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".