Evidence map›Paper›PMID 23173772›Full record

ArticleTransplant infectious disease : an official journal of the Transplantation Society2013

Epidemiology, risk factors, and outcomes of Clostridium difficile infection in kidney transplant recipients.

D Neofytos, K Kobayashi, C D Alonso, J Cady-Reh, D Lepley, M Harris, N Desai, E Kraus, A Subramanian, S Treadway and 3 more

Open access · greenAbstract read
In one paragraph

Article in Transplant infectious disease : an official journal of the Transplantation Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Review
  4. Infections After Kidney Transplantation From Donors With HIV to Recipients With HIV.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Observational
  5. Article
  6. Screening and targeted prophylaxis for Clostridioides difficile infection.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2025
    Article
  7. Pathogens (Basel, Switzerland) · 2024
    Review
  8. Preservation of the Innate Immune Response toOpen forum infectious diseases · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Clostridium difficile infection after adult autologous stem cell transplantation: a multicenter study of epidemiology and risk factors.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2013
    Article
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

13 authors at 4 institutions in 1 country.

D NeofytosDepartment of Medicine, School of Medicine, The Johns Hopkins University, Baltimore, Maryland 21205, USA. dneofyt1@jhmi.edu
K Kobayashi
C D Alonso
J Cady-Reh
D Lepley
M Harris
N Desai
E Kraus
A Subramanian
S Treadway
D Ostrander
C Thompson
K Marr
Johns Hopkins University · USJohns Hopkins Medicine · USBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · US

Funding

Prospective Cohort Study of CryptococcosisU01AI109657 · NIAID · JOHNS HOPKINS UNIVERSITY · PI MARR, KIEREN A., WILLIAMSON, PETER RICHARD · 2013 to 2015
$1.9M
Patient Oriented Research in Transplant and Oncology IDK24AI085118 · NIAID · JOHNS HOPKINS UNIVERSITY · PI MARR, KIEREN A. · 2010 to 2014
$995k
NIAID NIH HHS K24 AI085118
6 · The paper itself

Abstract

backgroundWe sought to describe the epidemiology and risk factors for Clostridium difficile infection (CDI) among kidney transplant recipients (KTR) between 1 January 2008 and 31 December 2010.

methodsA single-institution retrospective study was conducted among all adult KTR with CDI, defined as a positive test for C. difficile by a cell cytotoxic assay for C. difficile toxin A or B or polymerase chain reaction test for toxigenic C. difficile.

resultsAmong 603 kidney transplants performed between 1 January 2008 and 31 December 2010, 37 (6.1%) patients developed CDI: 12 (of 128; 9.4%) high-risk (blood group incompatible and/or anti-human leukocyte antigen donor-specific antibodies) vs. 25 (of 475; 5.3%, P = 0.08) standard-risk patients. The overall rate of CDI increased from 3.7% in 2008 to 9.4% in 2010 (P = 0.05). The median time to CDI diagnosis was 9 days, with 27 (73.0%) patients developing CDI within the first 30 days after their transplant, and 14 (51.8%) developing CDI within 7 days. A case-control analysis of 37 CDI cases and 74 matched controls demonstrated the following predictors for CDI among KTR: vancomycin-resistant Enterococcus colonization before transplant (odds ratio [OR]: 3.6, P = 0.03), receipt of an organ from Centers for Disease Control high-risk donor (OR: 5.9, P = 0.006), and administration of high-risk antibiotics within 30 days post transplant (OR: 6.6, P = 0.001).

conclusionsCDI remains a common early complication in KTR, with rates steadily increasing during the study period. Host and transplant-related factors and exposure to antibiotics appeared to significantly impact the risk for CDI among KTR.

Indexed as

Kidney TransplantationAdolescentAdultAgedAnti-Bacterial AgentsCase-Control StudiesClostridioides difficileClostridium InfectionsCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultAnti-Bacterial Agents

Identifiers

PMID23173772
PMCPMC3582832
OpenAlexW2074653633

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.