Evidence map›Paper›PMID 36189302›Full record

ArticleFrontiers in immunology2022

A cytokine/PTX3 prognostic index as a predictor of mortality in sepsis.

Sadaf Davoudian, Daniele Piovani, Antonio Desai, Sarah N Mapelli, Roberto Leone, Marina Sironi, Sonia Valentino, Rita Silva-Gomes, Matteo Stravalaci, Fatemeh Asgari and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. IL-1 family cytokines in inflammation and immunity.Cellular & molecular immunology · 2025
    Review
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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

18 authors at 3 institutions in 2 countries.

Sadaf DavoudianDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Daniele PiovaniDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Antonio DesaiDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Sarah N MapelliDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Roberto LeoneDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Marina SironiDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Sonia ValentinoDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Rita Silva-GomesDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Matteo StravalaciDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Fatemeh AsgariDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Alessandra MaderaDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Daniele PiccininiDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Carlo FedeliDepartment of Emergency, IRCCS Humanitas Research Hospital, Milan, Italy.
Denise CominaDepartment of Emergency, IRCCS Humanitas Research Hospital, Milan, Italy.
Stefanos BonovasDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Antonio VozaDepartment of Biomedical Science, Humanitas University, Milan, Italy.
Alberto MantovaniDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Barbara BottazziDepartment of Research in Inflammation and Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
IRCCS Humanitas Research Hospital · ITHumanitas University · ITQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early prognostic stratification of patients with sepsis is a difficult clinical challenge. Aim of this study was to evaluate novel molecules in association with clinical parameters as predictors of 90-days mortality in patients admitted with sepsis at Humanitas Research Hospital. Methods: Plasma samples were collected from 178 patients, diagnosed based on Sepsis-3 criteria, at admission to the Emergency Department and after 5 days of hospitalization. Levels of pentraxin 3 (PTX3), soluble IL-1 type 2 receptor (sIL-1R2), and of a panel of pro- and anti-inflammatory cytokines were measured by ELISA. Cox proportional-hazard models were used to evaluate predictors of 90-days mortality. Results: Circulating levels of PTX3, sIL-1R2, IL-1β, IL-6, IL-8, IL-10, IL-18, IL-1ra, TNF-α increased significantly in sepsis patients on admission, with the highest levels measured in shock patients, and correlated with SOFA score (PTX3: r=0.44, p<0.0001; sIL-1R2: r=0.35, p<0.0001), as well as with 90-days mortality. After 5 days of hospitalization, PTX3 and cytokines, but not sIL-1R2 levels, decreased significantly, in parallel with a general improvement of clinical parameters. The combination of age, blood urea nitrogen, PTX3, IL-6 and IL-18, defined a prognostic index predicting 90-days mortality in Sepsis-3 patients and showing better apparent discrimination capacity than the SOFA score (AUC=0.863, 95% CI: 0.780-0.945 Conclusion: These data suggest that a prognostic index based on selected cytokines, PTX3 and clinical parameters, and hence easily adoptable in clinical practice, performs in predicting 90-days mortality better than SOFA. An independent validation is required.

Indexed as

Interleukin-10SepsisBiomarkersC-Reactive ProteinCytokinesHumansInfant, NewbornInterleukin-1Interleukin-18Interleukin 1 Receptor Antagonist ProteinInterleukin-6Interleukin-8PentraxinsPrognosisROC CurveSerum Amyloid P-ComponentBiomarkersC-Reactive ProteinCytokinesInterleukin-1Interleukin-10Interleukin-18Interleukin 1 Receptor Antagonist ProteinInterleukin-6Interleukin-8PentraxinsSerum Amyloid P-ComponentTumor Necrosis Factor-alphabiomarkerscytokinesdisease severityPTX3sepsis

Identifiers

PMID36189302
PMCPMC9521428
OpenAlexW4296094454

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.