Evidence map›Paper›PMID 31501866›Full record

ArticleRheumatology (Oxford, England)2020

Haematological abnormalities in new-onset rheumatoid arthritis and risk of common infections: a population-based study.

Elena Nikiphorou, Simon de Lusignan, Christian Mallen, Kaivan Khavandi, Jacqueline Roberts, Christopher D Buckley, James Galloway, Karim Raza

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03675516 (The Epidemiology of Cardiovascular Disease, Haematological Abnormalities, and Other Comorbidities in Early Rheumatoid Arthritis in the United Kingdom and Their Associations With Important Outcomes), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 10% 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.

NCT03675516 completednot on this map

The Epidemiology of Cardiovascular Disease, Haematological Abnormalities, and Other Comorbidities in Early Rheumatoid Arthritis in the United Kingdom and Their Associations With Important Outcomes

TypeobservationalSponsorMomentum DataRan2004 to 2017Enrolled13,182ConditionsRheumatoid ArthritisArmsNo specific intervention
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  6. Review
  7. Naturally acquired adaptive immunity toClinical & translational immunology · 2024
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  15. Observational
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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

8 authors at 4 institutions in 2 countries.

Elena NikiphorouDepartment of Inflammation Biology, King's College London & Department of Rheumatology, King's College Hospital, London.
Simon de LusignanDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford.
Christian MallenPrimary Care Centre Versus Arthritis, School of Primary, Community and Social Care, Keele University, Keele.
Kaivan KhavandiPfizer Medical Affairs, Inflammation & Immunology, Pfizer Innovative Health, Tadworth, Surrey.
Jacqueline RobertsPfizer Medical Affairs, Inflammation & Immunology, Pfizer Innovative Health, Tadworth, Surrey.
Christopher D BuckleyRheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham.
James GallowayCentre for Rheumatic Diseases, King's College London, Denmark Hill, London.
Karim RazaRheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham.
Versus Arthritis · GBPfizer (United States) · USKing's College Hospital · GBUniversity of Surrey · GB

Funding

Department of Health RP_2014-04-026Department of Health RP-PG-0617-20005Medical Research Council MR/P021220/1
6 · The paper itself

Abstract

objectivesTo describe the prevalence of haematological abnormalities in individuals with RA at the point of diagnosis in primary care and the associations between haematological abnormalities, vaccinations and subsequent risk of common infections.

methodsWe studied 6591 individuals with newly diagnosed RA between 2004 and 2016 inclusive using the UK Royal College of General Practitioners Research and Surveillance Centre primary care database. The prevalence of haematological abnormalities at diagnosis (anaemia, neutropenia and lymphopenia) was established. Cox proportional hazards models were used to evaluate the association between each haematological abnormality and time to common infections and the influence of vaccination status (influenza and pneumococcal vaccine) on time to common infections in individuals with RA compared with a matched cohort of individuals without RA.

resultsAnaemia was common at RA diagnosis (16.1% of individuals), with neutropenia (0.6%) and lymphopenia (1.4%) less so. Lymphopenia and anaemia were associated with increased infection risk [hazard ratio (HR) 1.18 (95% CI 1.08, 1.29) and HR 1.37 (95% CI 1.08, 1.73), respectively]. There was no evidence of an association between neutropenia and infection risk [HR 0.94 (95% CI 0.60, 1.47)]. Pneumonia was much more common in individuals with early RA compared with controls. Influenza vaccination was associated with reduced risk of influenza-like illness only for individuals with RA [HR 0.58 (95% CI 0.37, 0.90)].

conclusionAt diagnosis, anaemia and lymphopenia, but not neutropenia, increase the risk of common infections in individuals with RA. Our data support the effectiveness of the influenza vaccination in individuals with RA.

Indexed as

Acute DiseaseAdultAgedAnemiaArthritis, RheumatoidBacterial InfectionsCohort StudiesComorbidityDatabases, FactualFemaleHematologic DiseasesHumansInfluenza, HumanInfluenza VaccinesLymphopeniaMaleInfluenza Vaccinesanaemiainfectioninfluenzainfluenza vaccinelymphopenianeutropeniapneumococcal vaccinerheumatoid arthritis

Identifiers

PMID31501866
PMCPMC7849938
OpenAlexW2963554554

What OpenQuestion holds

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LicenceCC BY-NC
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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.