Evidence map›Paper›PMID 36266480›Full record

ArticleSurgery today2023

Preoperative triage to detect SARS-CoV-2 infection in surgical patients: lessons learned for resuming surgery.

Roger Pujol, Eva Rivas, Isabel Gracia, Angel Caballero, Purificación Matute, Tomas Cuñat, Misericordia Basora, Neus Fábregas, Maria José Arguis, Daniel Luis Forne and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Surgery today, 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
0.3field-weighted citation impact, top 40% 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, 3 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

17 authors at 3 institutions in 2 countries.

Roger Pujol *Department of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Eva Rivas *Department of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Isabel GraciaDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Angel CaballeroDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Purificación MatuteDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Tomas CuñatDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Misericordia BasoraDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Neus FábregasDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Maria José ArguisDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Daniel Luis ForneDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
José Maria BalibreaDepartment of Gastrointestinal Surgery, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Anais BesaDepartment of Gastrointestinal Surgery, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Guillermo LagunaDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Concepción MonsalveDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain.
Antonio M LacyDepartment of Gastrointestinal Surgery, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Graciela Martinez-PallíDepartment of Anesthesia, Hospital Clinic of Barcelona, Universidad de Barcelona, Barcelona, Spain. gmartin@clinic.cat.
Perioperative COVID Group Hospital Clínic
Hospital Clínic de Barcelona · ESUniversitat de Barcelona · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo define the impact of the COVID-19 outbreak on hospital surgical activity and assess the incidence of perioperative COVID-19 within two protocolized screening pathways for elective and non-elective surgery.

methodsWe conducted a prospective cohort study of adults undergoing surgery during the COVID-19 outbreak. The elective pathway included telephone surveys and a quantitative polymerase-chain-reaction test (RT-PCR) only for patients who were asymptomatic and at low risk of infection. Only patients with negative screening underwent surgery. In the non-elective pathway, preoperative screening was performed during the hospital admission.

resultsAmong 835 patients considered for the elective pathway, 725 had negative RT-PCR results and underwent surgery. This reflects an 83% reduction in surgical activity from 2019. Moreover, 596 patients underwent non-elective surgery, representing a 28% reduction. Preoperatively, 39 patients (6.5%) tested positive for SARS-CoV-2 and underwent surgery through the non-elective pathway, vs. none in the elective pathway (p < 0.001). Postoperatively, 1.4% of elective surgery patients and 2.2% of non-elective surgery patients tested positive (p > 0.05). Mortality was higher in non-elective surgery (0.6% vs. 2.9%, p < 0.001) and in patients with COVID-19 (0% vs. 14%, p < 0.001).

conclusionsThe low incidence of COVID-19 in elective surgeries during the outbreak demonstrates the importance and effectiveness of preoperative screening, combining surveys and RT-PCR.

Indexed as

COVID-19AdultElective Surgical ProceduresHumansProspective StudiesSARS-CoV-2TriageCOVID-19Nosocomial infectionPerioperativeSARS-CoV-2Surgical

Identifiers

PMID36266480
PMCPMC9589600
OpenAlexW4306919955

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.