Evidence map›Paper›PMID 23484126›Full record

ReviewBioMed research international2013

Clinical genetic testing of periodic fever syndromes.

Annalisa Marcuzzi, Elisa Piscianz, Giulio Kleiner, Alberto Tommasini, Giovanni Maria Severini, Lorenzo Monasta, Sergio Crovella

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Fever tree revisited: From malaria to autoinflammatory diseases.World journal of clinical pediatrics · 2015
    Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Annalisa MarcuzziLaboratory of Immunopathology, Institute for Maternal and Child Health (IRCCS) "Burlo Garofolo", 34137 Trieste, Italy. marcuzzi@burlo.trieste.it
Elisa Piscianz
Giulio Kleiner
Alberto Tommasini
Giovanni Maria Severini
Lorenzo Monasta
Sergio Crovella
IRCCS Materno Infantile Burlo Garofolo · ITUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodic fever syndromes (PFSs) are a wide group of autoinflammatory diseases. Due to some clinical overlap between different PFSs, differential diagnosis can be a difficult challenge. Nowadays, there are no universally agreed recommendations for most PFSs, and near half of patients may remain without a genetic diagnosis even after performing multiple-gene analyses. Molecular analysis of periodic fevers' causative genes can improve patient quality of life by providing early and accurate diagnosis and allowing the administration of appropriate treatment. In this paper we focus our discussion on effective usefulness of genetic diagnosis of PFSs. The aim of this paper is to establish how much can the diagnostic system improve, in order to increase the success of PFS diagnosis. The mayor expectation in the near future will be addressed to the so-called next generation sequencing approach. Although the application of bioinformatics to high-throughput genetic analysis could allow the identification of complex genotypes, the complexity of this definition will hardly result in a clear contribution for the physician. In our opinion, however, to obtain the best from this new development a rule should always be kept well in mind: use genetics only to answer specific clinical questions.

Indexed as

FeverGenetic Diseases, InbornGenetic TestingDiagnosis, DifferentialDNA Mutational AnalysisHumansSyndrome

Identifiers

PMID23484126
PMCPMC3581266
OpenAlexW2001484914

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.