Evidence map›Paper›PMID 29132405›Full record

ArticleMicrobiome2017

Identifying predictive features of Clostridium difficile infection recurrence before, during, and after primary antibiotic treatment.

Sepideh Pakpour, Amit Bhanvadia, Roger Zhu, Abhimanyu Amarnani, Sean M Gibbons, Thomas Gurry, Eric J Alm, Laura A Martello

Registry-linked trialAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04259931 (PROSPECTIVE STUDY OF PREDISPOSING FACTORS OF REFRACTARY Clostridium Difficile INFECTION. INFLUENCE OF THE GUT MICROBIOMA), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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.

NCT04259931 unknown statusnot on this mapstarted 2020, after this paper: background citation

PROSPECTIVE STUDY OF PREDISPOSING FACTORS OF REFRACTARY Clostridium Difficile INFECTION. INFLUENCE OF THE GUT MICROBIOMA

TypeobservationalSponsorHospital Universitario de CabuenesRan2020 to 2021Enrolled50ConditionsClostridium Difficile InfectionArmsmicrobiome analysis
3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Gut Microbial and Metabolic Features Associated WithOpen forum infectious diseases · 2024
    Article
  5. Pathogens (Basel, Switzerland) · 2024
    Review
  6. Observational
  7. Article
  8. Article
  9. Microbiome profile and calprotectin levels as markers of risk of recurrentFrontiers in cellular and infection microbiology · 2023
    Article
  10. Review
  11. Review
  12. Gut Microbiota Composition Associated withPathogens (Basel, Switzerland) · 2022
    Review
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Antimicrobial Resistance in the Asia Pacific region: a meeting report.Antimicrobial resistance and infection control · 2019
    Article
  20. Dose Effects of Orally AdministeredFrontiers in cellular and infection microbiology · 2019
    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

8 authors.

Sepideh PakpourGenome Sequencing and Analysis Program, Broad Institute, Cambridge, MA, USA.
Amit BhanvadiaDivision of Digestive Diseases, Lenox Hill Hospital/Northwell Health, New York, NY, USA.
Roger ZhuSurgery, NewYork-Presbyterian/Queens, Flushing, NY, USA.
Abhimanyu AmarnaniMedicine, SUNY Downstate Medical Center, Brooklyn, NY, USA.
Sean M GibbonsGenome Sequencing and Analysis Program, Broad Institute, Cambridge, MA, USA.
Thomas GurryGenome Sequencing and Analysis Program, Broad Institute, Cambridge, MA, USA.
Eric J AlmGenome Sequencing and Analysis Program, Broad Institute, Cambridge, MA, USA. ejalm@mit.edu.
Laura A MartelloMedicine, SUNY Downstate Medical Center, Brooklyn, NY, USA. laura.martello-rooney@downstate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColonization by the pathogen Clostridium difficile often occurs in the background of a disrupted microbial community. Identifying specific organisms conferring resistance to invasion by C. difficile is desirable because diagnostic and therapeutic strategies based on the human microbiota have the potential to provide more precision to the management and treatment of Clostridium difficile infection (CDI) and its recurrence.

methodsWe conducted a longitudinal study of adult patients diagnosed with their first CDI. We investigated the dynamics of the gut microbiota during antibiotic treatment, and we used microbial or demographic features at the time of diagnosis, or after treatment, to predict CDI recurrence. To check the validity of the predictions, a meta-analysis using a previously published dataset was performed.

resultsWe observed that patients' microbiota "before" antibiotic treatment was predictive of disease relapse, but surprisingly, post-antibiotic microbial community is indistinguishable between patients that recur or not. At the individual OTU level, we identified Veillonella dispar as a candidate organism for preventing CDI recurrence; however, we did not detect a corresponding signal in the conducted meta-analysis.

conclusionAlthough in our patient population, a candidate organism was identified for negatively predicting CDI recurrence, results suggest the need for larger cohort studies that include patients with diverse demographic characteristics to generalize species that robustly confer colonization resistance against C. difficile and accurately predict disease relapse.

Indexed as

AgedAnti-Bacterial AgentsClostridioides difficileClostridium InfectionsFecesFemaleGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleMeta-Analysis as TopicMiddle AgedRecurrenceRNA, Ribosomal, 16SVeillonellaceaeAnti-Bacterial AgentsRNA, Ribosomal, 16S

Identifiers

PMID29132405
PMCPMC5684761

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Registered trials

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.