Evidence map›Paper›PMID 34745112›Full record

ReviewFrontiers in immunology

Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis.

Amirali Karimi, Parnian Shobeiri, Arutha Kulasinghe, Nima Rezaei

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05974904 (Association of High-sensitivity C-reactive Protein to Albumin Ratio with Metabolic Dysfunction-associated Fatty Liver Disease and Liver Fibrosis), which is not on this map. Cited by 94 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% of its field
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.

NCT05974904 recruitingnot on this map

Association of High-sensitivity C-reactive Protein to Albumin Ratio with Metabolic Dysfunction-associated Fatty Liver Disease and Liver Fibrosis: a Cross-sectional Study

TypeobservationalSponsorChongqing Medical UniversityRan2023 to 2026Enrolled7,000ConditionsMetabolic Dysfunction-associated Fatty Liver Disease, Hepatic Steatosis, Liver FibrosisArmshigh-sensitivity C-reactive protein to albumin ratio
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 2 syntheses or guidelines pooled it, 165 citations in OpenAlex.

  1. Pooled it
  2. Systemic immune inflammation index with all-cause and cause-specific mortality: a meta-analysis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  3. Observational
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  15. Enhancing mortality prediction in AIDS and disseminatedJournal of medical microbiology · 2025
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  16. Predictors of response to accelerated rTMS in the treatment of treatment-resistant depression.European archives of psychiatry and clinical neuroscience · 2025
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34 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

4 authors at 4 institutions in 2 countries.

Amirali KarimiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Parnian ShobeiriSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Arutha KulasingheCentre for Genomics and Personalised Health, School of Biomedical Q6 Sciences, Queensland University of Technology, Brisbane, QL, Australia.
Nima RezaeiNetwork of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Children's Medical Center · IRQueensland University of Technology · AUTehran University of Medical Sciences · IRUniversal Scientific Education and Research Network · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker.

Indexed as

BiomarkersCOVID-19C-Reactive ProteinDisease ProgressionHumansInflammationLymphocytesNeutrophilsPrognosisSARS-CoV-2Severity of Illness IndexBiomarkersC-Reactive ProteinbiomarkersCOVID-19inflammationinflammatory markersprognosisSARS-CoV-2

Identifiers

PMID34745112
PMCPMC8569430
OpenAlexW3208342532

What Socratic 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 Socratic graph.