Evidence map›Paper›PMID 31022834›Full record

ReviewInternational journal of molecular sciences2019

Biomarkers in Pneumonia-Beyond Procalcitonin.

Meropi Karakioulaki, Daiana Stolz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed.

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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Meropi KarakioulakiSchool of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. merop.i@hotmail.com.
Daiana StolzClinic of Pulmonary Medicine and Respiratory Cell Research, University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland. daiana.stolz@usb.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumonia is the leading infectious cause of mortality worldwide and one of the most common lower respiratory tract infections that is contributing significantly to the burden of antibiotic consumption. Due to the complexity of its pathophysiology, it is widely accepted that clinical diagnosis and prognosis are inadequate for the accurate assessment of the severity of the disease. The most challenging task for a physician is the risk stratification of patients with community-acquired pneumonia. Herein, early diagnosis is essential in order to reduce hospitalization and mortality. Procalcitonin and C-reactive protein remain the most widely used biomarkers, while interleukin 6 has been of particular interest in the literature. However, none of them appear to be ideal, and the search for novel biomarkers that will most sufficiently predict the severity and treatment response in pneumonia has lately intensified. Although our insight has significantly increased over the last years, a translational approach with the application of genomics, metabolomics, microbiomics, and proteomics is required to better understand the disease. In this review, we discuss this rapidly evolving area and summarize the application of novel biomarkers that appear to be promising for the accurate diagnosis and risk stratification of pneumonia.

Indexed as

AnimalsAnti-Bacterial AgentsBiomarkersBlood Cell CountComputational BiologyC-Reactive ProteinFibrin Fibrinogen Degradation ProductsHLA-DR AntigensHumansInterleukin-6Lipopolysaccharide ReceptorsPeptide FragmentsPneumoniaProcalcitoninReceptors, IgGTriggering Receptor Expressed on Myeloid Cells-1Anti-Bacterial AgentsBiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DHLA-DR AntigensInterleukin-6Lipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanProcalcitoninReceptors, IgGTREM1 protein, humanTriggering Receptor Expressed on Myeloid Cells-1biomarkersnovelpneumoniaprocalcitonin

Identifiers

PMID31022834
PMCPMC6514895

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Registered trials

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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.