Evidence map›Paper›PMID 36424202›Full record

Observational studyAmerican journal of surgery2022

Routine pre-operative Covid testing in elective surgeries: Is it worth it?

Jessica K Liu, Paula A Porras, Danielle M Hari, Kathryn T Chen

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of surgery, 2022. 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
0.7field-weighted citation impact, top 27% 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, 7 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.

Jessica K LiuDepartment of Surgery, Harbor-UCLA Medical Center, 1000 W. Carson Street, Torrance, CA, 90502, United States.
Paula A PorrasDepartment of Surgery, Harbor-UCLA Medical Center, 1000 W. Carson Street, Torrance, CA, 90502, United States.
Danielle M HariDepartment of Surgery, Harbor-UCLA Medical Center, 1000 W. Carson Street, Torrance, CA, 90502, United States.
Kathryn T ChenDepartment of Surgery, Harbor-UCLA Medical Center, 1000 W. Carson Street, Torrance, CA, 90502, United States. Electronic address: kchen6@dhs.lacounty.gov.
UCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-procedural COVID-19 testing in patients scheduled for elective cases have become routine to reduce the risk of COVID-19 exposure and pulmonary complications related to perioperative COVID-19 infection, and to reduce the use of specific hospital resources among other reasons. This study evaluates the efficacy of universal COVID-19 testing for elective procedures.

methodsSingle institution retrospective observational study from July 2020 through August 2021.

resultsThere were a total of 499 unique patients who were scheduled for 581 surgeries or procedures. A total of 569 anterior nares reverse transcriptase polymerase chain reaction (RT-PCR) tests were completed before scheduled procedure. There were 2 (0.35%) positive COVID tests, both of whom were asymptomatic and unvaccinated at time of testing, and 13 (2.2%) cancelled cases overall. The total cost for labor and materials during this period was $19,738, with each RT-PCR test costing $34.69 and each true positive test costing $9,869.

conclusionsGiven the low COVID-19 positivity in the elective procedural patient population, testing protocols for elective procedures should be re-evaluated as the pandemic evolves.

Indexed as

COVID-19COVID-19 TestingElective Surgical ProceduresHumansPandemicsSARS-CoV-2COVID-19Preoperative testingPreprocedural testingSAR-CoV-2Screening

Identifiers

PMID36424202
PMCPMC9639377
OpenAlexW4308445173

What Socratic 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 Socratic graph.