Evidence map›Paper›PMID 36823569›Full record

ArticleBMC surgery2023

Were surgical outcomes for acute appendicitis impacted by the COVID-19 pandemic?

Rachel Waldman, Harrison Kaplan, I Michael Leitman

Open access · goldAbstract read
In one paragraph

Article in BMC surgery, 2023. 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
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Rachel WaldmanDepartment of Surgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1076, New York, NY, 10029, USA.
Harrison KaplanDepartment of Surgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1076, New York, NY, 10029, USA.
I Michael LeitmanDepartment of Surgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1076, New York, NY, 10029, USA. Michael.leitman@mssm.edu.
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic disrupted healthcare systems throughout the world. We examine whether appendectomy outcomes in 2020 and 2021 were affected by the pandemic.

methodsWe conducted a retrospective cohort study of 30-day appendectomy outcomes using the ACS-NSQIP database from 2019 through 2021. Logistic regression and linear regression analyses were performed to create models of post-operative outcomes.

resultsThere were no associations between the time period of surgery and death, readmission, reoperation, deep incisional SSI, organ space SSI, sepsis, septic shock, rate of complicated appendicitis, failure to wean from the ventilator, or days from admission to operation. During the first 21 months of the pandemic (April 2020 through December 2021), there was a decreased length of hospital stay (p = 0.016), increased operative time (p < 0.001), and increased likelihood of laparoscopic versus open surgery (p < 0.001) in compared to 2019.

conclusionsThere were minimal differences in emergent appendectomy outcomes during the first 21 months of the pandemic when compared to 2019. Surgical systems in the US successfully adapted to the challenges presented by the COVID-19 pandemic.

Indexed as

AppendicitisCOVID-19LaparoscopyAcute DiseaseAppendectomyHumansLength of StayPandemicsRetrospective StudiesTreatment OutcomeAppendicitisCOVID-19OutcomesPandemicResilience

Identifiers

PMID36823569
PMCPMC9948783
OpenAlexW4321616441

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.