Evidence map›Paper›PMID 34878559›Full record

ReviewDer Internist2021

[What is confirmed in the diagnostics of autoinflammatory fever diseases?]

Stephen Gilbert, Heinz Gabriel, Anne Pankow, Saskia Biskup, Annette Doris Wagner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 1 country.

Stephen GilbertAda Health GmbH, Karl-Liebknecht-Str. 1, 10178, Berlin, Deutschland.
Heinz GabrielPraxis für Humangenetik Tübingen, Paul-Ehrlich-Str. 23, 72076, Tübingen, Deutschland.
Anne PankowAbt. für Nieren- und Hochdruckerkrankungen, Ambulanz für seltene entzündliche, Systemerkrankungen mit Nierenbeteiligung, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.
Saskia BiskupPraxis für Humangenetik Tübingen, Paul-Ehrlich-Str. 23, 72076, Tübingen, Deutschland.
Annette Doris WagnerAbt. für Nieren- und Hochdruckerkrankungen, Ambulanz für seltene entzündliche, Systemerkrankungen mit Nierenbeteiligung, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland. Wagner.Annette@mh-hannover.de.
Praxis für Humangenetik Tübingen · DECharité - Universitätsmedizin Berlin · DEMedizinische Hochschule Hannover · DETU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodic fever syndromes (PFS) are a group of rare autoinflammatory diseases, which are characterized by disorders of the innate immune reaction and life-long recurrent episodes of inflammatory symptoms. This article describes the diagnostic approach. In addition to the patient medical history, physical examination and laboratory determinations, gene tests are becoming increasingly more important. The panel diagnostics using high throughput sequencing or next generation sequencing (NGS) is the method of choice for the detection of a genetic cause of PFS. This article discusses the diagnostic decision support systems (DDSS) that can play a future role in the diagnosis of rare diseases, especially those with complex patterns of symptoms.

Indexed as

Hereditary Autoinflammatory DiseasesFeverGenetic TestingHigh-Throughput Nucleotide SequencingHumansSyndromeClinical decision support systemsHereditary periodic fever syndromesHigh-throughput nucleotide sequencingNext-generation sequencingWhole exome sequencing

Identifiers

PMID34878559
OpenAlexW4200457368

What OpenQuestion holds

Textmetadata
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.