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Cited by 517

The DOI matches its Crossref record.

Propranolol for Prevention of Recurrent Gastrointestinal Bleeding in Patients with Cirrhosis: A Controlled Study

Lebrec, Didier, Poynard, Thierry, Hillon, Patrick, Benhamou, Jean-Pierre·1981·New England Journal of Medicine

Abstract

It has been suggested that because propranolol decreases portal venous pressure, it may prevent gastrointestinal bleeding associated with portal hypertension. We randomly assigned 74 patients with cirrhosis, who were admitted because of gastrointestinal bleeding, to either oral propranolol given in doses that reduced the heart rate by 25 per cent (38 patients) or to a placebo (36 patients). The proportion of patients free of recurrent gastrointestinal bleeding one year after inclusion in this study was 96 per cent in the propranolol group and 50 per cent in the placebo group (P less than 0.0001). We conclude that continuous administration of propranolol by mouth is effective in preventing recurrent gastrointestinal bleeding in patients with cirrhosis.

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Metadata

Authors
Lebrec, D., Poynard, T., Hillon, P., & Benhamou, J.-P.
Venue
New England Journal of Medicine
Published
1981-12-03
Volume
305
Issue
23
Pages
1371-1374
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2334200094
Cited by
517
References
0
FWCI
37.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Propranolol for Prevention of Recurrent Gastrointestinal Bleeding in Patients with Cirrhosis: A Controlled Study. https://app.cochat.ai/papers/10.1056/nejm198112033052302
The paper
Lebrec, D., Poynard, T., Hillon, P., & Benhamou, J.-P. (1981). Propranolol for Prevention of Recurrent Gastrointestinal Bleeding in Patients with Cirrhosis: A Controlled Study. New England Journal of Medicine. https://doi.org/10.1056/nejm198112033052302

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.