Evidence map›Paper›PMID 22833479›Full record

ArticleArthritis care & research2012

Use of a disease risk score to compare serious infections associated with anti-tumor necrosis factor therapy among high- versus lower-risk rheumatoid arthritis patients.

Jeffrey R Curtis, Fenglong Xie, Lang Chen, Paul Muntner, Carlos G Grijalva, Claire Spettell, Joaquim Fernandes, Raechele M McMahan, John W Baddley, Kenneth G Saag and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Arthritis care & research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  5. Socioeconomic vulnerability and osteoporosis treatment disparities during COVID-19 lockdown among U.S. medicare enrollees who initiated romosozumab.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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  20. Evaluation of the RABBIT Risk Score for serious infections.Annals of the rheumatic diseases · 2014
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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

12 authors at 3 institutions in 1 country.

Jeffrey R CurtisUniversity of Alabama at Birmingham, Birmingham, AL, USA. jcurtis@uab.edu
Fenglong Xie
Lang Chen
Paul Muntner
Carlos G Grijalva
Claire Spettell
Joaquim Fernandes
Raechele M McMahan
John W Baddley
Kenneth G Saag
Timothy Beukelman
Elizabeth Delzell
University of Alabama at Birmingham · USAetna (United States) · USVanderbilt University · US

Funding

Vanderbilt Multidisciplinary Clinical Research CenterP60AR056116 · NIAMS · VANDERBILT UNIVERSITY · PI ARBOGAST, PATRICK · 2008 to 2012
$6.2M
Longitudinal Comparative Effectiveness & Safety of Biologics in AutoimmunityR01HS018517 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CURTIS, JEFFREY R. · 2009 to 2013
$2.2M
Mid-Career Investigator Award (for Kenneth G. Saag, MD, MSc)K24AR052361 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2005 to 2014
$1.7M
Ethnic Differences in the Risk of Fracture and Vascular DiseaseK23AR053351 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CURTIS, JEFFREY R. · 2007 to 2011
$755k
AHRQ HHS R01 HS018517AHRQ HHS R01-HS-018517AHRQ HHS U18 HS016956NIAMS NIH HHS AR-053351NIAMS NIH HHS K23 AR053351NIAMS NIH HHS K24 AR052361NIAMS NIH HHS P60-AR-056116
6 · The paper itself

Abstract

objectiveTo evaluate whether rates of serious infection with anti-tumor necrosis factor (anti-TNF) therapy in rheumatoid arthritis (RA) patients differ in magnitude by specific drugs and patient characteristics.

methodsAmong new nonbiologic disease-modifying antirheumatic drug users enrolled in Medicare and Medicaid or a large US commercial health plan, we created and validated a person-specific infection risk score based on age, demographics, insurance type, glucocorticoid dose, and comorbidities to identify patients at high risk for hospitalized infections. We then applied this risk score to new users of infliximab, etanercept, and adalimumab and compared the observed 1-year rates of infection to one another and to the predicted infection risk score estimated in the absence of anti-TNF exposure.

resultsAmong 11,657 RA patients initiating anti-TNF therapy, the observed 1-year rate of infection was 14.2 infections per 100 person-years in older patients (age ≥65 years) and 4.8 in younger patients (age <65 years). There was a relatively constant rate difference of ~1-4 infections per 100 person-years associated with anti-TNF therapy across the range of the infection risk score. Infliximab had a significantly greater adjusted rate of infection compared to etanercept and adalimumab in both high- and lower-risk RA patients.

conclusionThe rate of serious infections for anti-TNF agents was incrementally increased by a fixed absolute difference irrespective of age, comorbidities, and other factors that contributed to infections. Older patients and those with high comorbidity burdens should be reassured that the magnitude of their incremental risk with anti-TNF agents is not greater than for lower-risk patients.

Indexed as

AdalimumabAgedAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntirheumatic AgentsArthritis, RheumatoidEtanerceptFemaleFollow-Up StudiesHumansImmunoglobulin GInfectionsInfliximabMaleMiddle AgedAdalimumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntirheumatic AgentsEtanerceptImmunoglobulin GInfliximabReceptors, Tumor Necrosis FactorTumor Necrosis Factor-alpha

Identifiers

PMID22833479
PMCPMC3687540
OpenAlexW2059293628

What OpenQuestion holds

Textmetadata
LicenceTDM
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.