Evidence map›Paper›PMID 38587633›Full record

ReviewZeitschrift fur Rheumatologie2024

[Laboratory diagnostics for vasculitis beyond antineutrophil cytoplasmatic autoantibodies].

Ulf Schönermarck, Bernhard Hellmich, Elena Csernok

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Review in Zeitschrift fur Rheumatologie, 2024. 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
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.

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

3 authors.

Ulf SchönermarckMedizinische Klinik und Poliklinik IV, Nephrologisches Zentrum, LMU Klinikum, Campus Großhadern, LMU München, Deutschland.
Bernhard HellmichKlinik für Innere Medizin, Rheumatologie, Pneumologie, Nephrologie und Diabetologie, Medius Kliniken, Akademisches Lehrkrankenhaus der Universität Tübingen, Kirchheim-Teck, Deutschland.
Elena CsernokKlinik für Innere Medizin, Rheumatologie, Pneumologie, Nephrologie und Diabetologie, Medius Kliniken, Akademisches Lehrkrankenhaus der Universität Tübingen, Kirchheim-Teck, Deutschland. e.csernok@medius-kliniken.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of systemic vasculitis (SV) is a major clinical challenge due to the very different forms of presentation and requires an interdisciplinary approach. Targeted laboratory diagnostics support making the diagnosis, differential diagnosis and classification and are also a key component in the detection of active organ manifestations and treatment complications. The basic laboratory tests include the erythrocyte sedimentation rate (ESR), C‑reactive protein (CRP), blood count, serum creatinine, urinalysis, specific autoantibodies, complement, immunoglobulins, cryoglobulins and hepatitis B and C serology. Antineutrophil cytoplasmic autoantibodies (ANCA), antiglomerular basement membrane antibodies (anti-GBM antibodies) and anti-C1q antibodies are valuable laboratory markers for the diagnosis of the various forms of small vessel vasculitis. There are no specific laboratory tests for the diagnosis of medium and large vessel vasculitis. Despite advances in our understanding of the pathogenesis of vasculitis, no biomarkers have yet been identified that can be reliably used to guide treatment or that are useful in distinguishing vasculitis from other inflammatory diseases such as infections or treatment complications.

Indexed as

Antibodies, Antineutrophil CytoplasmicBiomarkersVasculitisAutoantibodiesClinical Laboratory TechniquesDiagnosis, DifferentialHumansAntibodies, Antineutrophil CytoplasmicAutoantibodiesBiomarkersAnti-C1q antibodiesAntiglomerular basement membrane antibodiesC‑reactive proteinErythrocyte sedimentation rateSystemic vasculitis

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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.