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Allopurinol for Prophylaxis Against Post ERCP Pancreatitis: A Metaanalysis of Randomized Controlled Trials

2011· article· en· W2978501314 on OpenAlexaboutno aff
Jonathan Nass, Praveen K. Roy, Mainor R. Antillon, Ramon E. Rivera

Bibliographic record

VenueThe American Journal of Gastroenterology · 2011
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAllopurinolPancreatitisRandomized controlled trialOdds ratioMeta-analysisInternal medicinePlaceboIntensive care medicineSurgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Purpose: Post-ERCP pancreatitis is a common complication after ERCP and contributes significantly to the morbidity and mortality of the procedure. A number of pharmacologic agents have been evaluated in an attempt to identify a strategy to reduce post ERCP pancreatitis with only mixed success. Based upon data from animal studies, allopurinol, a free radical scavenger, may prevent the cascade of inflammation in post ERCP pancreatitis. Since 1991, a number of large randomized controlled trials have been conducted to evaluate this effect with mixed results. We conducted a meta-analysis of the randomized controlled trials (RCTs) to evaluate the efficacy of prophylactic allopurinol in the prevention of post-ERCP pancreatitis. Methods: Medline, Cochrane Central Register of Controlled Trials & Database of Systemic Reviews, PubMed, and recent abstracts from major conference proceedings were searched through 11/10. RCTs comparing prophylactic allopurinol to placebo in patients undergoing ERCP were included. Standard forms were used to extract the data by two independent reviewers. The effects of prophylactic allopurinol were analyzed by calculating pooled estimates of post ERCP pancreatitis. Summary odds ratio was calculated using Comprehensive Meta-Analysis software. Publication bias was assessed by funnel plot. (Figure 1) Heterogeneity among studies was assessed by calculating 12 measures of inconsistency. Results: Seven RCT (N=2305) met the inclusion criteria. The studies were reported from the U.S., Canada, Mexico, Greece and Poland. Heterogenity was present and thus a random effect model was used for the analysis. Overall prophylactic allopurinol did not decrease the odds of developing post ERCP pancreatitis OR 0.70(95% CI: 0.36-1.36 p=0.29). (Figure 2) In subgroup analysis no differences were noted in the incidence of post ERCP pancreatitis with respect to the dosing of allopurinol. High dose allopurinol (1.2 g administered within 24hrs of the procedure) did not reduce the incidence of post ERCP pancreatitis OR 0.87 CI 0.61-1.24 p= 0.431), nor did low dose allopurinol (400 mg or less administered within 24hr of the procedure (OR 1.41, 95%CI 0.81-2.46)). The time of administration of allopurinol also did not have an effect on the rate of post ERCP pancreatitis. Loading the patient > 5 hrs prior to the procedure did not affect the rate of post-ERCP pancreatitis (OR 0.44, 95% CI: 0.14-1.39 p=0.16). Similarly drug dosing <5hrs prior to the procedure had no effect on the rate of pancreatitis. Publication bias was not present. Pooling of data from high quality studies (Jadad score >3) also did not reveal a reduction in the odds of pancreatitis. Conclusion: Prophylactic allopurinol does not prevent post ERCP pancreatitis.

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)0.037
metaresearch head score (Gemma)0.058
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: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.058
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0250.062
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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
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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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