Evidence map›Paper›PMID 38756762›Full record

ArticleOpen forum infectious diseases2024

Impact of the Reverse 2-Step Algorithm for

Evann E Hilt, Byron P Vaughn, Alison L Galdys, Michael D Evans, Patricia Ferrieri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. A novel RNA nucleic acid amplification test more accurately distinguishes activemedRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Impact of a multi-step testing algorithm on hospital-onsetAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    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

5 authors.

Evann E HiltInfectious Diseases Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Byron P VaughnDivision of Gastroenterology, Hepatology, and Nutrition, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-5081-3761
Alison L GaldysDivision of Infectious Disease and International Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-2188-4955
Michael D EvansClinical and Translational Science Institute, University of Minnesota, Minneapolis, Minnesota, USA.
Patricia FerrieriInfectious Diseases Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

Background: Multistep laboratory testing is recommended for the diagnosis of Methods: In October 2022, our system began reflex testing all PCR-positive stool samples with the Results: The HO-CDI rate decreased from 0.352 cases per 1000 patient-days to 0.115 cases per 1000 patient-days post-reflex testing ( Conclusions: Reflex testing for a laboratory diagnosis of CDI results in rapid, systemwide decreases in the rate of HO-CDI. Additional research is needed to distinguish CDI from

Indexed as

antibiotic stewardshipClostridioides difficile infectionenzyme immunoassaymolecular diagnosticsnucleic acid amplification tests

Identifiers

PMID38756762
PMCPMC11097206

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.