Evidence map›Paper›PMID 36341812›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2022

Surfactant protein D (SP-D) as a biomarker of SARS-CoV-2 infection.

Lucia Salvioni, Filippo Testa, Adela Sulejmani, Francesca Pepe, Pietro Giorgio Lovaglio, Paolo Berta, Roberto Dominici, Valerio Leoni, Davide Prosperi, Giorgio Vittadini and 2 more

Open access · greenAbstract read
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  11. Surfactant protein levels and genetic variants as biomarkers for COVID-19 severity in children.American journal of physiology. Lung cellular and molecular physiology · 2025
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  19. Could SP-A and SP-D Serum Levels Predict COVID-19 Severity?International journal of molecular sciences · 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

12 authors at 1 institution in 1 country.

Lucia SalvioniDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy.
Filippo TestaDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy.
Adela SulejmaniDepartment of Medicine and Surgery, University of Milano Bicocca, via Cadore 48, 20900 Monza, Italy.
Francesca PepeDepartment of Medicine and Surgery, University of Milano Bicocca, via Cadore 48, 20900 Monza, Italy.
Pietro Giorgio LovaglioDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy.
Paolo BertaDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy.
Roberto DominiciLaboratory of Clinical Biochemistry, Ospedale Pio XI of Desio, ASST-Brianza, via Mazzini 1, 20833 Desio, Italy.
Valerio LeoniDepartment of Medicine and Surgery, University of Milano Bicocca, via Cadore 48, 20900 Monza, Italy; Laboratory of Clinical Biochemistry, Ospedale Pio XI of Desio, ASST-Brianza, via Mazzini 1, 20833 Desio, Italy.
Davide ProsperiDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy.
Giorgio VittadiniDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, University of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy.
Miriam ColomboDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy. Electronic address: miriam.colombo@unimib.it.
Luisa FiandraDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy. Electronic address: luisa.fiandra@unimib.it.
University of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurfactant protein-D (SP-D) is a lung-resident protein that has emerged as a potential biomarker for COVID-19. Previous investigations on acute respiratory distress syndrome patients demonstrated a significant increment of SP-D serum levels in pathological conditions. Since SP-D is not physiologically permeable to alveoli-capillary membrane and poorly expressed by other tissues, this enhancement is likely due to an impairment of the pulmonary barrier caused by prolonged inflammation.

methodsA retrospective study on a relatively large cohort of patients of Hospital Pio XI of Desio was conducted to assess differences of the hematic SP-D concentrations among COVID-19 patients and healthy donors and if SP-D levels resulted a risk factor for disease severity and mortality.

resultsThe first analysis, using an ANOVA-model, showed a significant difference in the mean of log SP-D levels between COVID-19 patients and healthy donors. Significant variations were also found between dead vs survived patients. Results confirm that SP-D concentrations were significantly higher for both hospitalized COVID-19 and dead patients, with threshold values of 150 and 250 ng/mL, respectively. Further analysis conducted with Logistic Mixed models, highlighted that higher SP-D levels at admission and increasing differences among follow-up and admission values resulted the strongest significant risk factors of mortality (model predictive accuracy, AUC = 0.844).

conclusionsThe results indicate that SP-D can be a predictive marker of COVID-19 disease and its outcome. Considering its prognostic value in terms of mortality, the early detection of SP-D levels and its follow-up in hospitalized patients should be considered to direct the therapeutic intervention.

Indexed as

COVID-19Pulmonary Surfactant-Associated Protein DBiomarkersHumansRetrospective StudiesSARS-CoV-2BiomarkersPulmonary Surfactant-Associated Protein DCOVID-19MortalitySARS-CoV-2 infectionSurfactant protein-D (SP-D)

Identifiers

PMID36341812
PMCPMC9617654
OpenAlexW4308040060

What OpenQuestion holds

Textmetadata
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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.