Evidence map›Paper›PMID 37165096›Full record

ReviewNature reviews. Nephrology2023

Pathogenesis of autoimmune disease.

David S Pisetsky

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 362 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
362citing papers in PubMed, 8 pooled it
91.2field-weighted citation impact, top 1% 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

362 citing papers in PubMed, 8 syntheses or guidelines pooled it, 555 citations in OpenAlex.

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  15. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
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302 more citing papers are in PubMed but not listed here.

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.

David S PisetskyDuke University Medical Center, Medical Research Service, Durham Veterans Administration Medical Center, Durham, NC, USA. david.pisetsky@duke.edu.
Duke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases are a diverse group of conditions characterized by aberrant B cell and T cell reactivity to normal constituents of the host. These diseases occur widely and affect individuals of all ages, especially women. Among these diseases, the most prominent immunological manifestation is the production of autoantibodies, which provide valuable biomarkers for diagnosis, classification and disease activity. Although T cells have a key role in pathogenesis, they are technically more difficult to assay. In general, autoimmune disease results from an interplay between a genetic predisposition and environmental factors. Genetic predisposition to autoimmunity is complex and can involve multiple genes that regulate the function of immune cell populations. Less frequently, autoimmunity can result from single-gene mutations that affect key regulatory pathways. Infection seems to be a common trigger for autoimmune disease, although the microbiota can also influence pathogenesis. As shown in seminal studies, patients may express autoantibodies many years before the appearance of clinical or laboratory signs of disease - a period called pre-clinical autoimmunity. Monitoring autoantibody expression in at-risk populations may therefore enable early detection and the initiation of therapy to prevent or attenuate tissue damage. Autoimmunity may not be static, however, and remission can be achieved by some patients treated with current agents.

Indexed as

Autoimmune DiseasesGenetic Predisposition to DiseaseAutoantibodiesAutoimmunityFemaleHumansT-LymphocytesAutoantibodies

Identifiers

PMID37165096
PMCPMC10171171
OpenAlexW4376112749

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.