Topical hemostatic agents in the management of upper gastrointestinal bleeding: a meta-analysis
Bibliographic record
Abstract
Abstract Background and study aims Novel topical hemostatic agents have shown promising results in treating patients with non-variceal upper gastrointestinal bleeding (NVUGIB). However, data are limited even in published meta-analyses as to their role, especially compared to conventional endoscopic approaches. The aim of this study was to perform a highly comprehensive systematic review assessing the effectiveness of topical hemostatic agents in UGIB in different clinical settings. Methods We performed a literature search of OVID MEDLINE, EMBASE, and ISI Web of Knowledge databases through September 2021. Studies assessing the efficacy of topical hemostatic agents in UGIB were included. Main outcomes were immediate hemostasis and overall rebleeding. Results A total of 980 citations were identified and 59 studies with a total of 3,417 patients were included in the analysis. Immediate hemostasis was achieved in 93 % (91 %; 94 %), with similar results according to etiology (NVUGIB vs. variceal), topical agent used, or treatment strategy (primary vs. rescue). The overall rebleeding rate was 18 % (15%; 21 %) with the majority of rebleeds occurring in the first 7 days. Among comparative studies, topical agents achieved immediate hemostasis more often than standard endoscopic modalities (OR 3.94 [1.73; 8.96), with non-different overall rebleeding odds (OR 1.06 [0.65; 1.74]). Adverse events occurred in 2 % (1 %; 3 %). Study quality was overall low to very low. Conclusions Topical hemostatic agents are effective and safe in the management of UGIB with favorable outcomes when compared to conventional endoscopic modalities across a variety of bleeding etiologies. This is especially true in novel subgroup analyses that assessed immediate hemostasis and rebleeding among RCTs and in malignant bleeding. Due to methodological limitations of available data, additional studies are needed to ascertain their effectiveness more confidently in the management of patients with UGIB.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.031 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".