Evidence map›Paper›PMID 32916949›Full record

ArticlePharmaceuticals (Basel, Switzerland)2020

Can Nuclear Imaging of Activated Macrophages with Folic Acid-Based Radiotracers Serve as a Prognostic Means to Identify COVID-19 Patients at Risk?

Cristina Müller, Roger Schibli, Britta Maurer

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Positron emission tomography in the COVID-19 pandemic era.European journal of nuclear medicine and molecular imaging · 2021
    Review
  6. Review
  7. Review
  8. Role of 2-[Pharmaceuticals (Basel, Switzerland) · 2020
    Review
  9. 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

3 authors at 2 institutions in 1 country.

Cristina MüllerCenter for Radiopharmaceutical Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland.ORCID 0000-0001-9357-9688
Roger SchibliCenter for Radiopharmaceutical Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland.ORCID 0000-0002-1537-3833
Britta MaurerCenter for Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, 8091 Zurich, Switzerland.
Paul Scherrer Institute · CHUniversity Hospital of Zurich · CH

Funding

BM was supported by the Prof. Max Cloetta Foundation. The development of 18F-AzaFol was funded by Innosuisse: grant no.: CTI-Project 13877.1 PFLS-LS (PI: RS) and from the "Personalized Health and Related Technologies (PHRT)" grant no. 512 (PI: RS). In add NA
6 · The paper itself

Abstract

Herein, we discuss the potential role of folic acid-based radiopharmaceuticals for macrophage imaging to support clinical decision-making in patients with COVID-19. Activated macrophages play an important role during coronavirus infections. Exuberant host responses, i.e., a cytokine storm with increase of macrophage-related cytokines, such as TNFα, IL-1β, and IL-6 can lead to life-threatening complications, such as acute respiratory distress syndrome (ARDS), which develops in approximately 20% of the patients. Diverse immune modulating therapies are currently being tested in clinical trials. In a preclinical proof-of-concept study in experimental interstitial lung disease, we showed the potential of

Indexed as

COVID-19folate-based 18F-PET tracerfolate receptor-beta (FRβ)imaging biomarkerinflammationmacrophagespositron emission tomography (PET)

Identifiers

PMID32916949
PMCPMC7559490
OpenAlexW3083988574

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.