Evidence map›Paper›PMID 25864945›Full record

ArticleAlimentary pharmacology & therapeutics2015

Diabetes and the risk of infections with immunomodulator therapy in inflammatory bowel diseases.

A N Ananthakrishnan, A Cagan, T Cai, V S Gainer, S Y Shaw, S Churchill, E W Karlson, S N Murphy, I Kohane, K P Liao

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
  6. Review
  7. Article
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  12. Review
  13. Managing Risks with Biologics.Current gastroenterology reports · 2019
    Review
  14. Review
  15. Interaction of obesity and inflammatory bowel disease.World journal of gastroenterology · 2016
    Review
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

A N AnanthakrishnanDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
A Cagan
T Cai
V S Gainer
S Y Shaw
S Churchill
E W Karlson
S N Murphy
I Kohane
K P Liao
Brigham and Women's Hospital · USHarvard University · USMass General Brigham · USCenter for Systems Biology · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SOLOMON, DANIEL HAL · 2001 to 2016
$18.8M
Novel Biomarkers and Prediction Models for Rheumatoid ArthritisR01AR049880 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H, KARLSON, ELIZABETH W · 2003 to 2018
$8.7M
Genetic Predictors of Early Atherosclerosis in SLEK24AR052403 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KARLSON, ELIZABETH W · 2005 to 2014
$1.5M
Genetic predictors of anti-TNF treatment response and infections in IBDK23DK097142 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ANANTHAKRISHNAN, ASHWIN N · 2012 to 2016
$846k
Genetic Risk Factors for Coronary Artery Disease in Rheumatoid ArthritisK08AR060257 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LIAO, KATHERINE PHOENIX · 2011 to 2015
$649k
NIAMS NIH HHS K08 AR060257NIAMS NIH HHS K24 AR052403NIAMS NIH HHS P60 AR047782NIAMS NIH HHS P60AR047782NIAMS NIH HHS R01 AR049880NIDDK NIH HHS K23 DK097142NIDDK NIH HHS K23DK097142NLM NIH HHS U54 LM008748NLM NIH HHS U54-LM008748
6 · The paper itself

Abstract

backgroundInfections are an important concern in patients using immunosuppressive therapy for their inflammatory bowel disease (IBD). Diabetes affects nearly 10% of Americans. Whether it confers an additional risk with immunosuppression in IBD has not been examined previously.

aimTo examine the association between diabetes and infections with immunomodulator use in IBD

methodsUsing a validated, multi-institutional IBD cohort, we identified all patients who received at least one prescription for immunomodulators (thiopurines, methotrexate). Our primary outcome was infection within 1 year of the prescription of the immunomodulator. Multivariable logistic regression adjusting for relevant confounders was used to estimate the independent association with diabetes.

resultsOur study included 2766 patients receiving at least one prescription for immunomodulators among whom 210 (8%) developed an infection within 1 year. Patients who developed an infection were likely to be older, have more comorbidities, more likely to have received a prescription for steroids but similar in initiation of anti-TNF therapy within that year. Only 8% of those without an infection had diabetes compared to 19% of those who developed an infection within 1 year [odds ratio (OR) 2.74, 95% confidence interval (CI) 1.88-3.98, P < 0.001]. On multivariate analysis, diabetes was independently associated with a nearly two-fold increase in risk of infections (OR: 1.80, 95% CI: 1.20-2.68). There was no increase in risk of infections with addition of anti-TNF therapy (OR: 1.14, 95% CI: 0.80-1.63).

conclusionDiabetes is an independent risk factor for infection in IBD patients using immunomodulator therapy.

Indexed as

AdultDiabetes MellitusFemaleHumansImmunologic FactorsInflammatory Bowel DiseasesLogistic ModelsMaleMethotrexateMiddle AgedMultivariate AnalysisOdds RatioRiskRisk FactorsTumor Necrosis Factor-alphaImmunologic FactorsMethotrexateTumor Necrosis Factor-alpha

Identifiers

PMID25864945
PMCPMC4420684
OpenAlexW2007139417

What OpenQuestion holds

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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.