ReviewImmunologic research2015
Autoimmune diagnostics: the technology, the strategy and the clinical governance.
Review in Immunologic research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Evaluation of a Ten-Antigen Immunodot Test in Autoimmune Hepatitis and Primary Biliary Cholangitis: Lessons Learned for a Tertiary Care Academic Hospital.Diagnostics (Basel, Switzerland) · 2024Article
- Easy recognition and high autoimmune hepatitis specificity of smooth muscle antibodies giving an actin microfilament immunofluorescent pattern on embryonal vascular smooth muscle cells.Clinical and experimental immunology · 2024Article
- Optimization of Laboratory Diagnostics of Primary Biliary Cholangitis: When Solid-Phase Assays and Immunofluorescence Combine.Journal of clinical medicine · 2022Article
- The clinical and the laboratory autoimmunologist: Where do we stand?Auto- immunity highlights · 2020Article
- Autoantibody Profiles in Autoimmune Rheumatic Diseases.Mediterranean journal of rheumatology · 2019Article
- Challenges in the Standardization of Autoantibody Testing: a Comprehensive Review.Clinical reviews in allergy & immunology · 2017Review
- Next-Generation Autoantibody Testing by Combination of Screening and Confirmation-the CytoBead® Technology.Clinical reviews in allergy & immunology · 2017Review
- Antibody-controlled actuation of DNA-based molecular circuits.Nature communications · 2017Article
- Establishment of the upper reference limit for thyroid peroxidase autoantibodies according to the guidelines proposed by the National Academy of Clinical Biochemistry: comparison of five different automated methods.Auto- immunity highlights · 2015Article
- Automation, consolidation, and integration in autoimmune diagnostics.Auto- immunity highlights · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, there has been a profound change in autoimmune diagnostics. From long, tiring and inaccurate manual methods, the art of diagnostics has turned to modern, rapid and automated technology. New antibody tests have been developed, and almost all autoimmune diseases now have some specific diagnostic markers. The current need to make the most of available economic and human resources has led to the production of diagnostic algorithms and guidelines designated for optimal strategic use of the tests and to increase the diagnostic appropriateness. An important role in this scenario was assumed by the laboratory autoimmunologist, whose task is not only to govern the analytical phase, but also to help clinicians in correctly choosing the most suitable test for each clinical situation and provide consultancy support. In this review, we summarize recent advances in technology, describe the diagnostic strategies and highlight the current role of the laboratory autoimmunologist in the clinical governance of autoimmune diagnostics.
Indexed as
Identifiers
25398640What OpenQuestion holds
Registered trials
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.