Evidence map›Paper›PMID 35786103›Full record

ArticleAnnals of medicine2022

Trends in

Sun O Park, Ilhwan Yeo

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Clinical microbiology reviews · 2024
    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 2 institutions in 1 country.

Sun O ParkDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Ilhwan YeoDepartment of Medicine, New York Presbyterian, Queens, NY, USA.
Montefiore Medical Center · USPresbyterian College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsWe identified the patients with CDI using the national inpatient sample data from 2003 to 2014. We performed Poisson regression model and Kendall's tau-b correlation test for our analyses.

resultsAdjusted overall CDI prevalence did not significantly change during 2003-2014. In-hospital mortality of overall CDI did not significantly change during 2003-2008, then significantly decreased during 2008-2014. Severity of overall CDI significantly increased during 2003-2008, then decreased during 2008-2014. The proportions of patients with age

conclusionsCompared to the earlier years 2003-2008, overall CDI outcome improved in the later years 2008-2014. Younger patients increasingly contributed to CDI prevalence, mortality, and severity during 2003-2014. More studies to understand underlying driving forces of changes in CDI trends are warranted to mitigate CDI.

Indexed as

Clostridioides difficileAgedClostridioidesDatabases, FactualHumansInpatientsPrevalenceUnited Statesage compositionClostridioides difficileClostridium difficilemortalityseveritytrends

Identifiers

PMID35786103
PMCPMC9258430
OpenAlexW4283800105

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.