Evidence map›Paper›PMID 40546898›Full record

ReviewAvicenna journal of medicine2025

The Diagnosis of Sepsis-Associated Encephalopathy Using Biomarkers: Are We There Yet?

Florin Scarlatescu, Ecaterina Scarlatescu, Dana R Tomescu, Daniela Bartos

Erratum issuedAbstract readReview
In one paragraph

Review in Avicenna journal of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Florin ScarlatescuDepartment of Neurology, Clinical Emergency Hospital, Bucharest, Romania.
Ecaterina ScarlatescuUniversity of Medicine and Pharmacy Carol Davila, Bucharest, Romania.ORCID 0000-0002-5556-3623
Dana R TomescuUniversity of Medicine and Pharmacy Carol Davila, Bucharest, Romania.
Daniela BartosUniversity of Medicine and Pharmacy Carol Davila, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-associated encephalopathy (SAE) is a diffuse brain dysfunction that occurs in patients with sepsis in the absence of direct central nervous system infection or other causes of encephalopathy. SAE is common, occurring in up to 70% of patients with sepsis, and is linked to various clinical manifestations and significantly poorer outcomes. The diagnosis of SAE usually relies on clinical examination, which is often difficult due to confounding factors in critically ill patients. Other diagnostic tools used include electroencephalography, neuroimaging, and biomarkers. We performed a systematic search and review to synthesize all available evidence on biomarkers used for SAE diagnosis in clinical practice and highlight future directions for research. The literature search in MEDLINE identified 18 eligible studies. Biomarkers reflecting inflammation, endothelial activation and damage, astrocytic and microglial activation, neuronal injury, and metabolism changes were described, demonstrating their usefulness and potential in diagnosing and evaluating SAE. However, among different studies, the reported sensitivity and specificity of the biomarkers for diagnosing SAE varied based on the populations studied and the cutoff levels considered for each biomarker. In conclusion, biomarkers may be useful for diagnosing and predicting outcomes in SAE, but their usefulness in clinical practice remains limited for the moment. More research is needed to identify biomarkers that can improve SAE diagnosis.

Indexed as

biomarkersdiagnosisencephalopathysepsis

Identifiers

PMID40546898
PMCPMC12178668

What OpenQuestion holds

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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.