Evidence map›Paper›PMID 27532104›Full record

ArticlePloS one2016

Comparison of Diagnostic Algorithms for Detecting Toxigenic Clostridium difficile in Routine Practice at a Tertiary Referral Hospital in Korea.

Hee-Won Moon, Hyeong Nyeon Kim, Mina Hur, Hee Sook Shim, Heejung Kim, Yeo-Min Yun

Abstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Evaluation of the Cepheid Xpert C. difficile diagnostic assay: an update meta-analysis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Pooled it
  2. Laboratory Diagnostic Methods forAnnals of laboratory medicine · 2021
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Comparative evaluation of the STANDARD M10 and XpertJournal of clinical microbiology · 2024
    Article
  7. Review
  8. Review
  9. Significance of a polymerase chain reaction method in the detection of Clostridioides difficile.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
    Article
  10. Article
  11. Article
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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

6 authors.

Hee-Won MoonDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.
Hyeong Nyeon KimDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.
Mina HurDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.
Hee Sook ShimDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.
Heejung KimDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea.
Yeo-Min YunDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since every single test has some limitations for detecting toxigenic Clostridium difficile, multistep algorithms are recommended. This study aimed to compare the current, representative diagnostic algorithms for detecting toxigenic C. difficile, using VIDAS C. difficile toxin A&B (toxin ELFA), VIDAS C. difficile GDH (GDH ELFA, bioMérieux, Marcy-l'Etoile, France), and Xpert C. difficile (Cepheid, Sunnyvale, California, USA). In 271 consecutive stool samples, toxigenic culture, toxin ELFA, GDH ELFA, and Xpert C. difficile were performed. We simulated two algorithms: screening by GDH ELFA and confirmation by Xpert C. difficile (GDH + Xpert) and combined algorithm of GDH ELFA, toxin ELFA, and Xpert C. difficile (GDH + Toxin + Xpert). The performance of each assay and algorithm was assessed. The agreement of Xpert C. difficile and two algorithms (GDH + Xpert and GDH+ Toxin + Xpert) with toxigenic culture were strong (Kappa, 0.848, 0.857, and 0.868, respectively). The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of algorithms (GDH + Xpert and GDH + Toxin + Xpert) were 96.7%, 95.8%, 85.0%, 98.1%, and 94.5%, 95.8%, 82.3%, 98.5%, respectively. There were no significant differences between Xpert C. difficile and two algorithms in sensitivity, specificity, PPV and NPV. The performances of both algorithms for detecting toxigenic C. difficile were comparable to that of Xpert C. difficile. Either algorithm would be useful in clinical laboratories and can be optimized in the diagnostic workflow of C. difficile depending on costs, test volume, and clinical needs.

Indexed as

AdultAlgorithmsBacterial ProteinsBacterial ToxinsBacteriological TechniquesChildClostridioides difficileEnterocolitis, PseudomembranousEnterotoxinsEnzyme-Linked Immunosorbent AssayFemaleGlutamate DehydrogenaseHumansMalePolymerase Chain ReactionRepublic of KoreaBacterial ProteinsBacterial ToxinsEnterotoxinsGlutamate DehydrogenasetcdA protein, Clostridium difficiletoxB protein, Clostridium difficile

Identifiers

PMID27532104
PMCPMC4988646

What OpenQuestion holds

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LicenceCC BY
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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.