Evidence map›Paper›PMID 19848606›Full record

ArticleInfection control and hospital epidemiology2009

Identification of a pseudo-outbreak of Clostridium difficile infection (CDI) and the effect of repeated testing, sensitivity, and specificity on perceived prevalence of CDI.

Marina Litvin, Kimberly A Reske, Jennie Mayfield, Kathleen M McMullen, Peter Georgantopoulos, Susan Copper, Joan E Hoppe-Bauer, Victoria J Fraser, David K Warren, Erik R Dubberke

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Use of electronic health record data to identify hospital-associatedmedRxiv : the preprint server for health sciences · 2024
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  3. Article
  4. Strategies to preventInfection control and hospital epidemiology · 2023
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  5. Article
  6. Article
  7. The Role of Diagnostic Stewardship inCurrent infectious disease reports · 2020
    Article
  8. Article
  9. The impact of ICD-9-CM code rank order on the estimated prevalence of Clostridium difficile infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2011
    Article
  10. Article
  11. 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

10 authors at 2 institutions in 1 country.

Marina LitvinDepartment of Medicine, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Missouri 63110, USA.
Kimberly A Reske
Jennie Mayfield
Kathleen M McMullen
Peter Georgantopoulos
Susan Copper
Joan E Hoppe-Bauer
Victoria J Fraser
David K Warren
Erik R Dubberke
Barnes-Jewish Hospital · USJewish Hospital · US

Funding

Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
Infectious Disease & Healthcare Epidemiology MentoringK24AI067794 · NIAID · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2006 to 2010
$709k
NCRR NIH HHS KL2 RR024994NCRR NIH HHS KL2 RR024994-01NIAID NIH HHS K24 AI067794NIAID NIH HHS K24AI06779401PHS HHS 1U01C1000333-01PHS HHS UR8/CCU715087-06/1
6 · The paper itself

Abstract

objectiveTo describe a pseudo-outbreak of Clostridium difficile infection (CDI) caused by a faulty toxin assay lot and to determine the effect of sensitivity, specificity, and repeated testing for C. difficile on perceived CDI burden, positive predictive value, and false-positive results.

designOutbreak investigation and criterion standard. PATIENTS: Patients hospitalized at a tertiary care hospital who had at least 1 toxin assay for detection of C. difficile performed during the period from July 1, 2004, through June 30, 2006.

methodsThe run control chart method and the chi(2) test were used to compare CDI rates and the proportion of positive test results before, during, and after the pseudo-outbreak. The effect of repeated testing was evaluated by using 3 hypothetical models with a sample of 10,000 patients and various assay sensitivity and specificity estimates.

resultsIn November of 2005, the CDI rate at the hospital increased from 1.5 to 2.6 cases per 1,000 patient-days (P < .01), and the proportion of positive test results increased from 13.6% to 22.1% (P < .01). An investigation revealed a pseudo-outbreak caused by a faulty toxin assay lot. A decrease of only 1.2% in the specificity of the toxin assay would result in a 32% increase in perceived incidence of CDI at this institution. When calculated by use of the manufacturer's stated specificity and sensitivity and this institution's testing practices, the positive predictive value of the test decreased from 80.6% to 4.1% for patients who received 3 tests.

conclusionSpecificity is as important as sensitivity when testing for CDI. False-positive CDI cases can drain hospital resources and adversely affect patients. Repeated testing for C. difficile should be performed with caution.

Indexed as

Clostridioides difficileAcademic Medical CentersCross InfectionDisease OutbreaksEnterocolitis, PseudomembranousEnterotoxinsEnzyme-Linked Immunosorbent AssayFalse Positive ReactionsHumansMissouriPrevalenceReagent Kits, DiagnosticSensitivity and SpecificityEnterotoxinsReagent Kits, Diagnostic

Identifiers

PMID19848606
PMCPMC3598603
OpenAlexW2042626175

What OpenQuestion holds

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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.