Evidence map›Paper›PMID 42260236›Full record

SynthesisJournal of clinical immunology2026

Systematic Review and Meta-analysis of Anti-interferon Auto-antibodies in Infectious Diseases.

Robert Hill, Akish Luintel, Ernest Mutengesa, Douglas L Fink

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of clinical immunology, 2026. 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

4 authors.

Robert HillSt Mary's Hospital, London, W2 1NY, UK.
Akish LuintelDepartment of Clinical Microbiology, Infection Division, University College London Hospital, London, NW1 2BU, UK.
Ernest MutengesaDepartment of Infectious Diseases, Royal Free Hospital, Royal Free London NHS Foundation Trust, London, NW3 2QG, UK.
Douglas L FinkDepartment of Infectious Diseases, Royal Free Hospital, Royal Free London NHS Foundation Trust, London, NW3 2QG, UK. d.fink@ucl.ac.uk.ORCID http://orcid.org/0000-0003-4210-2411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo perform a systematic review and meta-analysis of prevalence and function of anti-interferon auto-antibodies in acute infectious diseases.

methodsWe performed a search on the following electronic bibliographic databases: Medline, Embase, Web of Science and Cochrane. Eligible studies generated a systematic review and random effects model meta-analysis of pooled seroprevalence and neutralisation status of anti-interferon auto-antibodies in acute infectious diseases.

resultsThirty-seven studies including 12,629 individuals with SARS-CoV-2 infection were analysed. There are insufficient data for meta-analyses of auto-antibodies in non-SARS-CoV-2 infectious diseases, with crude seroprevalence of auto-antibodies varying widely (0.0-77.0%). The pooled seroprevalence of anti-IFNɑ and/or anti-IFN⍵ auto-antibodies in individuals with SARS-CoV-2 infection was 14% (95%CI 9-18%, I

conclusionAnti-interferon auto-antibodies may impair immune responses to diverse infections leading to life-threatening disease. These auto-antibodies have not been studied at all in most infectious diseases, most notably for bacterial infection. This study illustrates the urgent need to standardise methodology and reporting of auto-antibodies in the setting of infectious diseases so that the immunopathology and translational impact of these novel biomarkers can be realised.

Indexed as

AutoantibodiesCommunicable DiseasesCOVID-19InterferonsSARS-CoV-2Antibodies, NeutralizingHumansSeroepidemiologic StudiesAntibodies, NeutralizingAutoantibodiesInterferonsAnti-interferon auto-antibodiesCOVID-19Infectious diseasesSARS-COV-2

Identifiers

PMID42260236
PMCPMC13473239

What OpenQuestion holds

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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.