Evidence map›Paper›PMID 38027854›Full record

ArticleHeliyon2023

Effects of novel Coronavirus (COVID-19) on presentation, management, and outcomes of acute cholecystitis at an academic tertiary care center cholecystitis management during COVID-19.

Nicholas V Peters, Rick O'Connor, Bishwajit Bhattacharya, John W Kunstman

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Nicholas V PetersYale School of Medicine, Department of Surgery, PO Box 208062, New Haven, CT 06520, USA.
Rick O'ConnorYale School of Medicine, Department of Surgery, PO Box 208062, New Haven, CT 06520, USA.
Bishwajit BhattacharyaYale School of Medicine, Department of Surgery, PO Box 208062, New Haven, CT 06520, USA.
John W KunstmanYale School of Medicine, Department of Surgery, PO Box 208062, New Haven, CT 06520, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background: The COVID-19 pandemic necessitated adjustments to nearly all aspects of healthcare, including surgical care. The effects of these adjustments have not been well studied on acute surgical problems conventionally managed non-electively in large, tertiary care centers. Methods: A retrospective analysis of admitted patients with acute cholecystitis at a US academic tertiary care center was performed. We compared the presentation, management, and 30-day outcomes of patients admitted during a 2-month time period during early COVID, to a pre-COVID control group of admitted cholecystitis patients over a 2-month span. Results: The study cohort captured 24 patients, while the control cohort encompassed 53 patients. A non-significant trend toward non-operative management in the COVID cohort is reported. There was no delay in time-to-surgery or complication rate. No surgically managed patient developed COVID within 30 days of operation. Conclusions: Operative management of acute cholecystitis during the COVID-19 pandemic, with pre-operative testing and personal protective equipment guidelines, remained safe and effective.

Indexed as

Acute care surgeryCOVIDPerioperative management

Identifiers

PMID38027854
PMCPMC10658381
OpenAlexW4388346895

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.