Evidence map›Paper›PMID 27418431›Full record

SynthesisScientific reports2016

Diagnostic test accuracy of glutamate dehydrogenase for Clostridium difficile: Systematic review and meta-analysis.

Jun Arimoto, Nobuyuki Horita, Shingo Kato, Akiko Fuyuki, Takuma Higurashi, Hidenori Ohkubo, Hiroki Endo, Nonaka Takashi, Takeshi Kaneko, Atsushi Nakajima

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

  1. Clostridioides difficile Near-Patient Testing Versus Centralized Testing: A Pragmatic Cluster Randomized Crossover Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Trial
  2. Impact of switching from polymerase chain reaction-only to two-stepAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  3. Innovative nucleic acid detection ofFrontiers in cellular and infection microbiology · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. A 2-step algorithm combining glutamate dehydrogenase and nucleic acid amplification tests for the detection of Clostridioides difficile in stool specimens.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  8. Article
  9. Laboratory Tests for the Diagnosis ofClinics in colon and rectal surgery · 2020
    Review
  10. Enterotoxic Clostridia:Microbiology spectrum · 2019
    Review
  11. Review
  12. 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 1 institution in 1 country.

Jun ArimotoDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Nobuyuki HoritaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Shingo KatoDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Akiko FuyukiDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Takuma HigurashiDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Hidenori OhkuboDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Hiroki EndoDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Nonaka TakashiDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Atsushi NakajimaDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Yokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed this systematic review and meta-analysis to assess the diagnostic accuracy of detecting glutamate dehydrogenase (GDH) for Clostridium difficile infection (CDI) based on the hierarchical model. Two investigators electrically searched four databases. Reference tests were stool cell cytotoxicity neutralization assay (CCNA) and stool toxigenic culture (TC). To assess the overall accuracy, we calculated the diagnostic odds ratio (DOR) using a DerSimonian-Laird random-model and area the under hierarchical summary receiver operating characteristics (AUC) using Holling's proportional hazard models. The summary estimate of the sensitivity and the specificity were obtained using the bivariate model. According to 42 reports consisting of 3055 reference positive comparisons, and 26188 reference negative comparisons, the DOR was 115 (95%CI: 77-172, I(2) = 12.0%) and the AUC was 0.970 (95%CI: 0.958-0.982). The summary estimate of sensitivity and specificity were 0.911 (95%CI: 0.871-0.940) and 0.912 (95%CI: 0.892-0.928). The positive and negative likelihood ratios were 10.4 (95%CI 8.4-12.7) and 0.098 (95%CI 0.066-0.142), respectively. Detecting GDH for the diagnosis of CDI had both high sensitivity and specificity. Considering its low cost and prevalence, it is appropriate for a screening test for CDI.

Indexed as

Bacterial ProteinsClostridioides difficileClostridium InfectionsGlutamate DehydrogenaseHost-Pathogen InteractionsHumansMass ScreeningSensitivity and SpecificityBacterial ProteinsGlutamate Dehydrogenase

Identifiers

PMID27418431
PMCPMC4945925
OpenAlexW2461622101

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.