Evidence map›Paper›PMID 36975808›Full record

ArticleInfection and immunity2023

Novel Biomarkers, Including

Gregory R Madden, Isaura Rigo, Rachel Boone, Mayuresh M Abhyankar, Mary K Young, William Basener, William A Petri

Open access · hybridAbstract read
In one paragraph

Article in Infection and immunity, 2023. 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
1.4field-weighted citation impact, top 21% 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, 7 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Gregory R MaddenDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.ORCID 0000-0002-5951-3156
Isaura RigoDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Rachel BooneDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Mayuresh M AbhyankarDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Mary K YoungDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
William BasenerSchool of Data Science, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
William A PetriDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.ORCID 0000-0002-7268-1218
University of Virginia · US

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Role of Th17 in Severe and Recurrent C. difficile InfectionR01AI152477 · NIAID · UNIVERSITY OF VIRGINIA · PI PETRI, WILLIAM A, RAMAKRISHNAN, GIRIJA · 2020 to 2025
$7.1M
Role of Type 2 Immunity in Innate Protection from C. difficileR01AI124214 · NIAID · UNIVERSITY OF VIRGINIA · PI William A Petri · 2016 to 2026
$5.4M
Global Biothreats Training ProgramT32AI055432 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI CRISS, ALISON K, PETRI, WILLIAM A · 2003 to 2022
$4.0M
Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
Immune profiling to stratify Clostridioides difficile infection outcomesK23AI163368 · NIAID · UNIVERSITY OF VIRGINIA · PI MADDEN, GREGORY RUSSELL · 2021 to 2025
$961k
NCATS NIH HHS KL2 TR003016NCATS NIH HHS UL1 TR003015NIAID NIH HHS K23 AI163368NIAID NIH HHS R01 AI124214NIAID NIH HHS R01 AI152477NIAID NIH HHS T32 AI055432
6 · The paper itself

Abstract

Traditional clinical models for predicting recurrent Clostridioides difficile infection do not perform well, likely owing to the complex host-pathogen interactions involved. Accurate risk stratification using novel biomarkers could help prevent recurrence by improving underutilization of effective therapies (i.e., fecal transplant, fidaxomicin, bezlotoxumab). We used a biorepository of 257 hospitalized patients with 24 features collected at diagnosis, including 17 plasma cytokines, total/neutralizing anti-toxin B IgG, stool toxins, and PCR cycle threshold (

Indexed as

Bacterial ToxinsClostridioides difficileClostridium InfectionsBayes TheoremBiomarkersEndothelial Growth FactorsEpidermal Growth FactorHumansInterleukin-6Interleukin-8Polymerase Chain ReactionBacterial ToxinsBiomarkersEndothelial Growth FactorsEpidermal Growth FactorInterleukin-6Interleukin-8medical outcomesoutcomeprediction modelrecurrent Clostridioides difficile infectionrisk model

Identifiers

PMID36975808
PMCPMC10112139
OpenAlexW4361191086

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.