Evidence map›Paper›PMID 32434289›Full record

ArticleKorean journal of anesthesiology2020

Perioperative considerations for COVID-19 patients: lessons learned from the pandemic -a case series.

Jia Lin Jacklyn Yek, Sheng Chuu Anne Kiew, James Chi-Yong Ngu, Jimmy Guan Cheng Lim

Open access · goldAbstract readCase Reports
In one paragraph

Article in Korean journal of anesthesiology, 2020. 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
0.5field-weighted citation impact, top 32% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Videolaryngoscopy post COVID-19.Trends in anaesthesia & critical care · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jia Lin Jacklyn YekDepartment of Anesthesiology and Intensive Care, Changi General Hospital, Singapore.
Sheng Chuu Anne KiewDepartment of Anesthesiology and Intensive Care, Changi General Hospital, Singapore.
James Chi-Yong NguDepartment of General Surgery, Changi General Hospital, Singapore.
Jimmy Guan Cheng LimDepartment of Anesthesiology and Intensive Care, Changi General Hospital, Singapore.
Changi General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the coronavirus disease 2019 (COVID-19) pandemic spreads globally, hospitals are rushing to adapt their facilities, which were not designed to deal with infections adequately. Here, we present the management of a suspected COVID-19 patient. Case: A 66-year-old man with a recent travel history, infective symptoms, and chest X-ray was presented to our hospital. Considering his septic condition, we decided to perform an emergency surgery. The patient was given supplemental oxygen through a face mask and transported to an operating theatre on a plastic-covered trolley. An experienced anesthetist performed rapid sequence intubation using a video laryngoscope. Due to the initial presentation of respiratory distress, the patient remained intubated after surgery to avoid re-intubation. Precautions against droplet, contact, and airborne infection were instituted. Conclusions: Our objective was to facilitate surgical management of patients with known or suspected COVID-19 while minimizing the risk of nosocomial transmission to healthcare workers and other patients.

Indexed as

AgedCOVID-19Health PersonnelHumansInfectious Disease Transmission, Patient-to-ProfessionalMaleOccupational ExposurePandemicsPerioperative CarePersonal Protective EquipmentTransportation of PatientsCommunicationCoronavirusCOVID-19Infection controlPandemicsPerioperative carePerioperative periodPersonal protective equipment

Identifiers

PMID32434289
PMCPMC7714638
OpenAlexW3113905391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.