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S814 The Clot Thickens - Hemostatic Powder as Primary Therapy in Non-variceal Upper Gastrointestinal Bleeding: An Updated Systematic Review and Meta-Analysis of Randomized Clinical Trials

2023· article· en· W4387750305 on OpenAlexaboutno aff
Dalton A. Norwood, Eleazar E. Montalvan-Sanchez, Chad Burski, Ramzi Mulki, Sergio A. Sánchez‐Luna, Ali M. Ahmed, Kondal R. Kyanam Kabir Baig, Shajan Peter

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisHemostasisInternal medicineRandomized controlled trialUpper gastrointestinal bleedingRelative riskGastrointestinal bleedingClinical trialSurgeryGastroenterologyConfidence intervalEndoscopy

Abstract

fetched live from OpenAlex

Introduction: Hemostatic powder (HP) has emerged as a potential therapeutic option in non-variceal upper gastrointestinal bleeding. However, the evidence regarding its efficacy and safety as primary therapy remains inconclusive. We aimed to evaluate the effectiveness of hemostatic powder in achieving primary hemostasis, reducing rebleeding rates, minimizing mortality, and assessing its impact on length of hospital stay (LOS) in patients with non-variceal upper gastrointestinal bleeding in a meta-analysis (Figure 1). Methods: We used the PubMed Scopus and Web of Science databases, through June 2023 to identify RCTs assessing the efficacy of HP compared with Standard of care (Hemoclip, thermocoagulation and epinephrine injection). We followed the (PRISMA) protocol. Two independent reviewers assessed study quality/risk for bias using Newcastle-Ottawa Scale (NOS) and extracted descriptive and quantitative data. Meta-analysis was performed using appropriate statistical methods to estimate pooled effect sizes, risk ratios, and heterogeneity. Results: The literature search yielded 2501 studies, of which 152 were identified for full-text review, with 7 studies filling the criteria for final analysis including 458 patients. HP primary hemostasis rates (99.34%, 95% CI: 97.13-100) compared to the controls (88.39%, 95% CI: 72.12-98.7), RR 1.06 (95% CI: 0.92-1.22), P=0.42. Rebleeding rates between the HP (12.98%, 95% CI: 3.72-25.71) and the controls (18.20%, 95% CI: 8.81-29.63), RR 0.95 (95% CI: 0.58-1.55) P=0.22. There were no significant differences in death rates between HP (16.63%, 95% CI: 2.78-37.01) and the control group (13.38%, 95% CI: 1.38-33.61), RR 1.11 (95% CI: 0.74-1.67) P=0.62. 5/7 studies reported LOS, the pooled analysis showed a mean difference of 2.67 days (95% CI: -0.68-6.02) longer in the HP group, although the difference was not statistically significant ( P=0.12). For all analysis done the Egger test suggested no significant presence of small-study effects in this meta-analysis (Table 1). Conclusion: The application of HP did not show significant risk ratios for achieving primary hemostasis when compared to the control group. Nevertheless, the HP group exhibited higher rates of primary hemostasis. There were no statistically significant risk ratios for rebleeding, death, and LOS, it is worth noting that rebleeding rates were lower in the treatment group. Further research is warranted to explore potential variations in these outcomes and to validate the findings of this meta-analysis.Figure 1.: Primary hemostasis with Hemostatic powder - Hazard rations. Table 1. - Primary Outcomes of Hemostatic Powder Treatment Outcome Rates in Hemostatic Powder Group Rates in Control Group Risk Ratio (95% CI) I2 of Risk Ratio (%) P-value Primary hemostasis 99.34% (97.13-100) 88.39% (72.12-98.7) 1.06 (0.92-1.22) 0.0% 0.42 Rebleeding 12.98% (3.72-25.71) 18.20% (8.81-29.63) 0.95 (0.58-1.55) 12.44% 0.22 Death 16.63% (2.78-37.01) 13.86% (1.38-33.61) 1.11 (0.74-1.67) 0.0% 0.62 Length of stay (days) Mean = 12.66 Mean = 10.88 MD:2.67 (-0.68-6.02) 21.41 0.12

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.038
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0200.030
Bibliometrics0.0130.011
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.092
GPT teacher head0.403
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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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Citations0
Published2023
Admission routes1
Has abstractyes

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