ReviewDer Anaesthesist2011
[Procalcitonin-based algorithm. Management of antibiotic therapy in critically ill patients].
Review in Der Anaesthesist, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed, 5 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Duration of antibiotic treatment using procalcitonin-guided treatment algorithms in older patients: a patient-level meta-analysis from randomized controlled trials.Age and ageing · 2021Pooled it
- Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials.Critical care (London, England) · 2018Pooled it
- [International guidelines of the Surviving Sepsis Campaign : update 2012].Der Anaesthesist · 2013Guideline
- An ESICM systematic review and meta-analysis of procalcitonin-guided antibiotic therapy algorithms in adult critically ill patients.Intensive care medicine · 2012Pooled it
- The use of a standardized PCT-algorithm reduces costs in intensive care in septic patients - a DRG-based simulation model.European journal of medical research · 2011Pooled it
- A proposal for a comprehensive approach to infections across the surgical pathway.World journal of emergency surgery : WJES · 2020Review
- [Diagnostic markers and assessment of efficacy of antibacterial therapy].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2014Review
- Soluble receptor for advanced glycation end products predicts 28-day mortality in critically ill patients with sepsis.Scandinavian journal of clinical and laboratory investigation · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is one of the most cost-intensive conditions of critically ill patients in intensive care medicine. Furthermore, sepsis is known to be the leading cause of morbidity and of mortality in intensive care patients. Early initiation of antibiotic therapy can significantly reduce mortality. The development of resistance of bacterial species against antibiotics is a compelling issue to reconsider indications and administration of antibiotic treatment. Adequate indications and duration of therapy are particularly important for the use of highly potent substances in the intensive care setting. Until recently no laboratory marker has been available to distinguish bacterial infections from viral or non-infectious inflammatory responses. However, procalcitonin (PCT) appears to be the first among a large array of inflammatory markers that offers this possibility. Regular procalcitonin measurements can significantly shorten the length of antibiotic therapy, show positive influence on antibiotic costs and have no adverse affects on patient outcome.
Indexed as
Identifiers
What OpenQuestion holds
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.