Diverticulitis: A Review of Current and Emerging Practice-Changing Evidence
Bibliographic record
Abstract
Acute diverticulitis represents a common colorectal emergency seen in the Western world. Over time, management of this condition has evolved. This review aims to highlight recent evidence and update current recommendations. Notable evidence has emerged in certain aspects of diverticulitis. This includes disease pathogenesis, as emerging data suggest a potentially greater role for the microbiome and genetic predisposition than previously thought. Acute management has also seen major shifts, where traditional antibiotic treatment may no longer be necessary for acute uncomplicated diverticulitis. Following successful medical management of acute diverticulitis, indications for elective sigmoidectomy have decreased. The benefit of emergency surgery remains for peritonitis, sepsis, obstruction, and acute diverticulitis in certain immunocompromised patients. Routine colonoscopy, once recommended after all acute diverticulitis episodes, has been shown to be beneficial for cancer exclusion in a distinct patient population. Despite advances in research, certain entities remain poorly understood, such as smoldering diverticulitis and symptomatic uncomplicated diverticular disease. As research in the field expands, paradigm shifts will shape our understanding of diverticulitis, influencing how clinicians approach management and educate patients.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.009 |
| 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) | 0.006 | 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".