Evidence map›Paper›PMID 36552007›Full record

ArticleBiomedicines2022

Growth Differentiation Factor 15 (GDF-15) Levels Associate with Lower Survival in Chronic Kidney Disease Patients with COVID-19.

Andrea Galassi, Paola Ciceri, Valeria Bono, Lorenza Magagnoli, Matteo Sala, Luisa Artioli, Roberta Rovito, Mohamad Hadla, Vaibhav Yellenki, Antonella D'Arminio Monforte and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Andrea GalassiDepartment of Health Sciences, Renal Division, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Paola CiceriDepartment of Health Sciences, Renal Division, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Valeria BonoDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Lorenza MagagnoliDepartment of Health Sciences, Renal Division, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.ORCID 0000-0003-2853-1332
Matteo SalaDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Luisa ArtioliDepartment of Health Sciences, Renal Division, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Roberta RovitoDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Mohamad HadlaDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Vaibhav YellenkiDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Antonella D'Arminio MonforteDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.ORCID 0000-0003-0073-1789
Camilla TincatiDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
Mario CozzolinoDepartment of Health Sciences, Renal Division, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.ORCID 0000-0002-8494-6252
Giulia MarchettiDepartment of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, 20142 Milan, Italy.
University of Milan · IT

Funding

Department of Health Sciences University of Milan Piano di Sostegno alla Ricerca - Linea 2 - Dotazione annuale
6 · The paper itself

Abstract

A cytokine storm drives the pathogenesis of severe COVID-19 infection and several biomarkers have been linked to mortality. Chronic kidney disease (CKD) emerged as a risk factor for severe COVID-19. We investigated the association between selected biomarkers and mortality in 77 patients hospitalized for COVID-19, and whether they differ in patients with eGFR higher and lower than 45 mL/min. The association between patients’ characteristics, plasma biomarkers and mortality was conducted by univariate logistic regression models and independent predictors of mortality were then used to create a multivariate prediction model through Cox regression. Patients with lower eGFR had a significant increase of GDF-15, CD-25 and RAGE, with higher plasma levels in non-survivors and in patients who needed ventilation. At univariate analysis, low and mid-low GDF-15 quartiles (<4.45 ng/mL) were associated with lower mortality risk, while mid-high and high quartiles (>4.45 ng/mL) were associated with higher mortality risk. Independent association between GDF-15 quartiles and mortality risk was confirmed in the Cox model and adjusted for eGFR, age, fever and dyspnea (HR 2.28, CI 1.53−3.39, p < 0.0001). The strength of the association between GDF-15 quartiles and mortality risk increased in patients with lower compared to higher eGFR (HR 2.53, CI 1.34−4.79 versus HR 1.99, CI 1.17−3.39). Our findings may suggest a further investigation of the effect of GDF-15 signaling pathway inhibition in CKD.

Indexed as

CKDCOVID-19GDF-15mortality

Identifiers

PMID36552007
PMCPMC9775159
OpenAlexW4311390652

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.