Evidence map›Paper›PMID 34663207›Full record

Observational studyMolecular medicine (Cambridge, Mass.)2021

CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative inflammatory biomarkers in an observational study.

Nicola I Lorè, Rebecca De Lorenzo, Paola M V Rancoita, Federica Cugnata, Alessandra Agresti, Francesco Benedetti, Marco E Bianchi, Chiara Bonini, Annalisa Capobianco, Caterina Conte and 14 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Molecular medicine (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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.

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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Hyaluronan Ameliorates Viral Pneumonia in Mice and Humans by Inhibiting Transcription Factor E2F1.American journal of respiratory cell and molecular biology · 2026
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  17. Lethal COVID-19 associates with RAAS-induced inflammation for multiple organ damage including mediastinal lymph nodes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Cxcl10 is required for survival during SARS-CoV-2 infection in mice.bioRxiv : the preprint server for biology · 2024
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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

24 authors at 1 institution in 1 country.

Nicola I Lorè *Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy. lore.nicolaivan@hsr.it.ORCID 0000-0001-9159-1632
Rebecca De Lorenzo *Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Paola M V RancoitaUniversity Centre for Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, Milan, Italy.
Federica CugnataUniversity Centre for Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, Milan, Italy.
Alessandra AgrestiDivision of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Francesco BenedettiVita-Salute San Raffaele University, Milano, Italy.
Marco E BianchiVita-Salute San Raffaele University, Milano, Italy.
Chiara BoniniDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Annalisa CapobiancoDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Caterina ConteDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Angelo CortiVita-Salute San Raffaele University, Milano, Italy.
Roberto FurlanDivision of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Paola ManteganiDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Norma MaugeriDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Clara ScioratiDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Fabio SaliuDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Laura SilvestriDivision of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Cristina TresoldiHematology and Bone Marrow Transplant, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Bio Angels for COVID-BioB Study Group
Fabio CiceriVita-Salute San Raffaele University, Milano, Italy.
Patrizia Rovere-Querini *Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Clelia Di Serio *Vita-Salute San Raffaele University, Milano, Italy.
Daniela M Cirillo *Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Angelo A Manfredi *Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milano, Italy.
Vita-Salute San Raffaele University · IT

Funding

Ministero della Salute COVID-2020-12371617
6 · The paper itself

Abstract

backgroundHost inflammation contributes to determine whether SARS-CoV-2 infection causes mild or life-threatening disease. Tools are needed for early risk assessment.

methodsWe studied in 111 COVID-19 patients prospectively followed at a single reference Hospital fifty-three potential biomarkers including alarmins, cytokines, adipocytokines and growth factors, humoral innate immune and neuroendocrine molecules and regulators of iron metabolism. Biomarkers at hospital admission together with age, degree of hypoxia, neutrophil to lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP) and creatinine were analysed within a data-driven approach to classify patients with respect to survival and ICU outcomes. Classification and regression tree (CART) models were used to identify prognostic biomarkers.

resultsAmong the fifty-three potential biomarkers, the classification tree analysis selected CXCL10 at hospital admission, in combination with NLR and time from onset, as the best predictor of ICU transfer (AUC [95% CI] = 0.8374 [0.6233-0.8435]), while it was selected alone to predict death (AUC [95% CI] = 0.7334 [0.7547-0.9201]). CXCL10 concentration abated in COVID-19 survivors after healing and discharge from the hospital.

conclusionsCXCL10 results from a data-driven analysis, that accounts for presence of confounding factors, as the most robust predictive biomarker of patient outcome in COVID-19.

Indexed as

BiomarkersChemokine CXCL10ComorbidityCoronary Artery DiseaseCOVID-19C-Reactive ProteinCreatineDiabetes MellitusFemaleHospitalizationHumansHypertensionImmunity, HumoralImmunity, InnateInflammationIntensive Care UnitsBiomarkersChemokine CXCL10C-Reactive ProteinCreatineCXCL10 protein, humanL-Lactate DehydrogenaseBiomarkersCOVID-19 severity predictorsCXCL10Decision tree

Identifiers

PMID34663207
PMCPMC8521494
OpenAlexW3206790845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.