ArticleNature clinical practice. Nephrology2008
How should peritoneal-dialysis-associated peritonitis be treated?
Article in Nature clinical practice. Nephrology, 2008. 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, 4 citations in OpenAlex.
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this Practice Point commentary, we discuss Wiggins et al.'s systematic review of the treatment of peritonitis, a serious problem in peritoneal dialysis patients. Wiggins and co-workers reported that most antibiotic classes were similarly effective for the treatment of peritonitis. Despite the limited data available, the investigators found that the intraperitoneal route was more effective than the intravenous route in preventing treatment failure, that intermittent dosing of various antibiotics was as effective as continuous administration of these drugs, and that glycopeptide-based regimens were more likely than first-generation cephalosporins to achieve a complete cure. Here, we discuss the importance of treating peritonitis and the lack of and limitations of existing data, and emphasize the urgent need for well-designed, large randomized trials in this area.
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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.