Evidence map›Paper›PMID 28453386›Full record

ReviewGut microbes2017

Collateral damage during antibiotic treatment of C. difficile infection in the aged host: Insights into why recurrent disease happens.

Jae Hyun Shin, Cirle A Warren

Open access · goldAbstract readReview
In one paragraph

Review in Gut microbes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
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

2 authors at 1 institution in 1 country.

Jae Hyun Shina University of Virginia School of Medicine , Department of Medicine, Division of Infectious Diseases and International Health.
Cirle A Warrena University of Virginia School of Medicine , Department of Medicine, Division of Infectious Diseases and International Health.
University of Virginia · US

Funding

INFECTIOUS DISEASES TRAINING PROGRAMT32AI007046 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Alison K Criss, William A Petri · 1985 to 2026
$15.3M
NIAID NIH HHS T32 AI007046
6 · The paper itself

Abstract

Clostridium difficile infection (CDI) is one of the most common causes of healthcare-associated infections but an even bigger problem for the aging population. Advanced age leads to higher incidence, higher mortality, and higher recurrences. In our study, recently published in the Journal of Infectious Diseases, we investigated the effect of aging on CDI using a mouse model. We were able to demonstrate that aging leads to worse clinical outcomes, as well as lead to changes in microbiota composition and lower antibody production against C. difficile toxin A, but not toxin B. An association between advanced age and lower antibody production against C. difficile is a new finding which would explain the effect of aging on CDI outcome. Vancomycin, an anti-C. difficile antibiotic, led to similar changes in antibody response, suggesting a connection between microbiome and antibody response in the context of aging, which would require a much more nuanced look at the treatment of CDI.

Indexed as

AgedAged, 80 and overAnimalsAnti-Bacterial AgentsClostridioides difficileClostridium InfectionsDisease Models, AnimalGastrointestinal MicrobiomeGastrointestinal TractHumansImmunologic FactorsMiceRecurrenceVancomycinAnti-Bacterial AgentsImmunologic FactorsVancomycinagingClostridium difficile infectionhost responsehumoral responsemicrobiome

Identifiers

PMID28453386
PMCPMC5628656
OpenAlexW2608636122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.