ReviewThe American journal of tropical medicine and hygiene2023
β-Blockers in Hepatosplenic Schistosomiasis: A Narrative Review.
Review in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatosplenic schistosomiasis (HSS) is a serious complication of chronic schistosomiasis that can result in portal hypertension and variceal bleeding. β-blockers, a class of medications commonly used to treat hypertension and other cardiovascular conditions, have been investigated for their potential use in preventing variceal bleeding in HSS. Several studies have shown that β-blockers can reduce portal pressure and prevent variceal bleeding effectively in these patients. However, there are limited data on the long-term efficacy and safety of β-blockers in this setting, and further research is needed to determine the optimal use of these medications. This review summarizes the evidence supporting current recommendations of β-blocker use in patients with HSS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.