SynthesisThe Indian journal of medical research2017
A meta-analysis to assess usefulness of procalcitonin-guided antibiotic usage for decision making.
Synthesis in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 11 citations in OpenAlex.
- C-reactive protein and procalcitonin use in adults in low- and middle-income countries: a narrative review.JAC-antimicrobial resistance · 2023Review
- [Prevention and control of antimicrobial stewardship: a review of evidenceGestión de las intervenciones en materia de prevención y control de la resistencia a los antimicrobianos en los hospitales: revisión de la evidencia].Revista panamericana de salud publica = Pan American journal of public health · 2020Review
- Procalcitonin-guided antibiotic usage - addressing heterogeneity in meta-analysis.The Indian journal of medical research · 2018Article
- Authors' Response.The Indian journal of medical research · 2018Article
- Procalcitonin-guided antimicrobial stewardship in critically ill patients with sepsis: A pre- post interventional study.Perspectives in clinical researchArticle
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
objectivesDevelopment of antibacterial resistance and its association with antibiotic overuse makes it necessary to identify a specific and sensitive biomarker for the diagnosis of bacterial infection and guiding antibiotic therapy. Procalcitonin (PCT), as a sepsis biomarker, may play a role in guiding antibiotics treatment in hospital settings. The aim of the current meta-analysis was to analyze the utility of PCT on various outcomes of interest in inpatients.
methodsDifferent databases were searched for randomized controlled trials comparing PCT-guided therapy with standard therapy in admitted patients with bacterial infections. Twenty six articles were found suitable for full text search and of these, 16 studies were considered finally for data extraction.
resultsThere were no significant differences found in total mortality [pooled odds ratio (OR) 1.04, 95% confidence interval (CI) 0.89-1.22, P=0.63], 28-day mortality (pooled OR 0.97, 95% CI 0.80-1.19, P=0.79), need of Intensive Care Unit admission (OR=0.80, 95% CI 0.59-1.09, P=0.16) and duration of stay in hospital (pooled mean difference -0.01, 95% CI -0.50-0.49, P=0.98) between treatment and control groups. PCT-guided treatment significantly decreased the duration of antibiotic treatment (pooled mean difference -2.79, 95% CI -3.52--2.06, P<0.00001). INTERPRETATION &
conclusionsPCT-guided therapy significantly decreased antibiotics exposure and thus treatment cost. However, the hard endpoints did not demonstrate any significant benefits, possibly due to low power to detect differences and/or the presence of comorbidities.
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.