Evidence map›Paper›PMID 34991675›Full record

ReviewCritical care (London, England)2022

Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review.

Tatiana Barichello, Jaqueline S Generoso, Mervyn Singer, Felipe Dal-Pizzol

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 293 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
293citing papers in PubMed, 5 pooled it
–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.

NCT06586372 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

CRP,CRP/Alb Ratio, N/L Ratio in Predictors of Both Systemic Infection and Survival in Patient With Sepsis

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled100ConditionsSepsis, Systemic Infection
NCT07332715 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Predictive Value of the Combination of Uric Acid/Albumin Ratio and Lactate for Acute Kidney Injury, Hemodynamic Support Requirement, and Mortality in Patients With Sepsis

TypeobservationalSponsorIstinye UniversityRan2026 to 2026Enrolled80ConditionsSepsis-Related Mortality, Acute Kidney InjuryArmsNon-interventional / Observational Study
3 · Its place in the literature

Who cites it

293 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  12. Predictive Value of PreoperativeInternational journal of molecular sciences · 2026
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  19. Nursing management decisions in fever: a mixed-methods approach to understanding.International journal of nursing studies advances · 2026
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233 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Tatiana BarichelloLaboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil. Tatiana.Barichello@uth.tmc.edu.ORCID http://orcid.org/0000-0001-7776-8454
Jaqueline S GenerosoLaboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil.
Mervyn SingerBloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, London, UK.
Felipe Dal-PizzolLaboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil.

Funding

Infection-driven mechanisms associated with Alzheimer's disease pathologyRF1AG072491 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BARICHELLO, TATIANA, MORALES, RODRIGO · 2021 to 2021
$2.0M
Infection-driven mechanisms associated with Alzheimer's disease pathologyR01AG072491 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BARICHELLO, TATIANA, MORALES, RODRIGO · 2024 to 2025
$1.2M
Alzheimer's Association AARGDNTF-19-619645NIA NIH HHS R01 AG072491NIA NIH HHS RF1 AG072491NIMH NIH HHS 1RF1AG072491-01
6 · The paper itself

Abstract

A biomarker describes a measurable indicator of a patient's clinical condition that can be measured accurately and reproducibly. Biomarkers offer utility for diagnosis, prognosis, early disease recognition, risk stratification, appropriate treatment (theranostics), and trial enrichment for patients with sepsis or suspected sepsis. In this narrative review, we aim to answer the question, "Do biomarkers in patients with sepsis or septic shock predict mortality, multiple organ dysfunction syndrome (MODS), or organ dysfunction?" We also discuss the role of pro- and anti-inflammatory biomarkers and biomarkers associated with intestinal permeability, endothelial injury, organ dysfunction, blood-brain barrier (BBB) breakdown, brain injury, and short and long-term mortality. For sepsis, a range of biomarkers is identified, including fluid phase pattern recognition molecules (PRMs), complement system, cytokines, chemokines, damage-associated molecular patterns (DAMPs), non-coding RNAs, miRNAs, cell membrane receptors, cell proteins, metabolites, and soluble receptors. We also provide an overview of immune response biomarkers that can help identify or differentiate between systemic inflammatory response syndrome (SIRS), sepsis, septic shock, and sepsis-associated encephalopathy. However, significant work is needed to identify the optimal combinations of biomarkers that can augment diagnosis, treatment, and good patient outcomes.

Indexed as

SepsisShock, SepticBiomarkersHumansLeukocytosisSystemic Inflammatory Response SyndromeBiomarkersBiomarkerSepsisSepsis-associated encephalopathySeptic shockSystemic inflammatory response

Identifiers

PMID34991675
PMCPMC8740483

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.