Evidence map›Paper›PMID 37090045›Full record

ReviewAnnals of translational medicine2023

Optimal validation of accuracy in antibody assays and reasonable definition of antibody positive/negative subgroups in neuroimmune diseases: a narrative review.

Hai-Feng Li

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2023. 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
0.5field-weighted citation impact, top 34% 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, 4 citations in OpenAlex.

  1. Article
  2. Different bacterial cargo in apoptotic cells drive distinct macrophage phenotypes.Apoptosis : an international journal on programmed cell death · 2024
    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

1 author at 1 institution in 1 country.

Hai-Feng LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: In neuroimmune diseases, autoantibodies are not only used for diagnosis, but also as markers for assessing disease severity and treatment efficacy, and as variables in predicting the prognosis and in subgroup classification. Accuracy of an assay is a prerequisite for using antibodies in the diagnosis and management. The antibody positive subgroup is important in constellating phenotypes, while the antibody negative subgroup provides an opportunity for discovery of new antibodies. This review is to discuss the validation studies of diagnostic accuracy in antibody assays and reasonable definitions of antibody positive/negative subgroups in neuroimmune diseases. Methods: The literature discussing validation studies of diagnostic accuracy in antibody assays and reasonable definition of antibody positive/negative subgroups in autoimmune diseases was broadly searched and discussed. Key Content and Findings: The designs of a validation study, principles in defining the disease spectrum and biases, interpretation of the testing result and specific considerations for validation studies in neuroimmune diseases (such as phenotypes and inclusion criteria, control group selection, dynamic changes of antibody composition and sampling time, relationship between duration and severity of disease and antibody status, and pre-test factor), and improvement of antibody test techniques, as well as definitions and algorithms in defining antibody positive/negative subgroups in clinical practice and researches, are discussed. Conclusions: The successful implementation of validation studies of autoantibody assays in neuroimmune diseases depends on reasonable design, phenotypic profiles of included patients and potential inclusion bias, test result interpretation and the influence from inclusion criteria, control group selection, patient characteristics on specimen sampling and pre-test factors. Reasonable definitions on antibody positive/negative groups may be different in clinical practice and researches, and rigorous definitions are conducive to constellation of disease phenotype and the exploration of new antibodies within a disease entity.

Indexed as

accuracyAntibody assayantibody positive subgroupneuroimmune diseasesvalidation

Identifiers

PMID37090045
PMCPMC10116426
OpenAlexW4288469140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.