Evidence map›Paper›PMID 34552699›Full record

ArticleWorld journal of hepatology2021

Syeda Sahra, Mohammad Abureesh, Shivantha Amarnath, Motasem Alkhayyat, Rawan Badran, Abdullah Jahangir, Vivek Gumaste

Abstract read
In one paragraph

Article in World journal of hepatology, 2021. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. COVID-19 andInfectious disease reports · 2023
    Article
  5. World journal of hepatology · 2023
    Review
  6. Canadian journal of gastroenterology & hepatology · 2022
    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

7 authors.

Syeda SahraDepartment of Internal Medicine, Staten Island University Hospital, Staten Island, NY 10305, United States. ssahra@northwell.edu.
Mohammad AbureeshDepartment of Internal Medicine, Staten Island University Hospital, Staten Island, NY 10305, United States.
Shivantha AmarnathDepartment of Internal Medicine, Staten Island University Hospital, Staten Island, NY 10305, United States.
Motasem AlkhayyatDepartment of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, United States.
Rawan BadranDepartment of Internal Medicine, Staten Island University Hospital, Staten Island, NY 10305, United States.
Abdullah JahangirDepartment of Internal Medicine, Staten Island University Hospital, Staten Island, NY 10305, United States.
Vivek GumasteDepartment of Gastroenterology, Staten Island University Hospital, Staten Island, NY 10305, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

aimTo use a large nationwide database, we sought to determine CDI's risk among liver cirrhosis patients in the United States.

methodsWe queried a commercial database (Explorys Inc

resultsThere were a total of 19387760 patients in the database who were above 20 years of age between the years 2018-2021. Of those, 133400 were diagnosed with liver cirrhosis. The prevalence of CDI amongst the liver cirrhosis population was 134.93 per 100.000

conclusionIn this large database study, we uncovered that cirrhotic patients have a significantly higher CDI prevalence than those without cirrhosis. Liver cirrhosis may be an independent risk factor for CDI. Further prospective studies are needed to clarify this possible risk association that may lead to the implementation of screening methods in this high-risk population.

Indexed as

Chronic liver diseaseClostridioides difficileLiver cirrhosisLiver transplant

Identifiers

PMID34552699
PMCPMC8422922

What OpenQuestion holds

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LicenceCC BY-NC
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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.