Evidence map›Paper›PMID 38628336›Full record

ArticleProceedings (Baylor University. Medical Center)2024

The impact of COVID-19 on surgical cases at a large quaternary referral hospital.

Jennifer J Misenhimer, Steven G Leeds, Rehma Shabbir, Rachel S Jefferies, Gerald O Ogola, Marc A Ward

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2024. 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
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.

  1. Post lockdown: What did we learn?Proceedings (Baylor University. Medical Center) · 2024
    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

6 authors.

Jennifer J MisenhimerDepartment of General Surgery, Baylor University Medical Center, Dallas, Texas, USA.
Steven G LeedsDepartment of General Surgery, Baylor University Medical Center, Dallas, Texas, USA.
Rehma ShabbirBaylor Scott and White Health Research Institute, Dallas, Texas, USA.
Rachel S JefferiesBaylor Scott and White Health Research Institute, Dallas, Texas, USA.
Gerald O OgolaBaylor Scott and White Health Research Institute, Dallas, Texas, USA.
Marc A WardDepartment of General Surgery, Baylor University Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-7147-3994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronavirus-19 (COVID) stressed healthcare systems by increasing hospital admissions and in-hospital mortality. The impact of COVID on surgical patients is unknown. The purpose of this study was to evaluate how the COVID pandemic affected surgical patients at a large quaternary referral hospital. Methods: A retrospective review of patients undergoing surgical procedures was performed to evaluate patients undergoing surgery. The impact of COVID on surgical patients was divided into four timeframes based on government regulations: pre-COVID (January 1, 2020 to March 15, 2020), suspended (March 16, 2020 to May 4, 2020), backlogged cases (May 5, 2020 to June 14, 2020), and restoration (June 15, 2020 to September 30, 2020). Differences between patient characteristics and outcomes during these timeframes were evaluated. Results: A total of 21,424 surgical cases were performed between January 1, 2020 and September 30, 2020. During the suspended timeframe (when all elective cases were cancelled), the percentage of surgeries increased in men (53.8% compared to 49.2% pre-COVID; Conclusions: COVID-19 induced stresses in surgical patients, altering payor mix and impacting minority groups at a large quaternary referral hospital.

Indexed as

CoronavirusCOVID-19elective surgeryhealthcare disparitiespandemic

Identifiers

PMID38628336
PMCPMC11018017

What OpenQuestion holds

Textmetadata
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.