Evidence map›Paper›PMID 33475973›Full record

ArticleInternal and emergency medicine2021

Early introduction of anakinra improves acute pericarditis and prevents tamponade in Staphylococcal sepsis.

Ludovico Luca Sicignano, Maria Grazia Massaro, Marinica Savino, Donato Rigante, Laura Gerardino, Raffaele Manna

Open access · hybridAbstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Internal and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Ludovico Luca SicignanoInstitute of Internal Medicine, Periodic Fever and Rare Diseases Research Centre, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.
Maria Grazia MassaroInstitute of Internal Medicine, Periodic Fever and Rare Diseases Research Centre, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.
Marinica SavinoDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.
Donato RiganteUniversità Cattolica Sacro Cuore, Rome, Italy.ORCID http://orcid.org/0000-0001-7032-7779
Laura GerardinoInstitute of Internal Medicine, Periodic Fever and Rare Diseases Research Centre, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.
Raffaele MannaInstitute of Internal Medicine, Periodic Fever and Rare Diseases Research Centre, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy. raffaele.manna@policlinicogemelli.it.ORCID http://orcid.org/0000-0003-1560-3907
Università Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical response to anakinra observed by this patient concurrently treated with antibiotics indirectly confirms the potentially pathogenic role of IL-1 in maintaining the pericardial disease and shows how IL-1 blockade might allow avoiding the pericardiocentesis procedure. The report supports the hypothesis that anakinra is an effective and safe tool in the early treatment of acute pericarditis of presumed bacterial origin nonresponding to targeted antibiotic therapy.

Indexed as

Aged, 80 and overAnti-Bacterial AgentsCardiac TamponadeHumansInterleukin 1 Receptor Antagonist ProteinMalePericarditisSepsisStaphylococcal InfectionsAnti-Bacterial AgentsInterleukin 1 Receptor Antagonist Protein

Identifiers

PMID33475973
PMCPMC8310493
OpenAlexW3122068479

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.