Evidence map›Paper›PMID 34649158›Full record

SynthesisJournal of clinical anesthesia2021

Virtual preoperative assessment in surgical patients: A systematic review and meta-analysis.

Kevin Zhang, Matin Rashid-Kolvear, Rida Waseem, Marina Englesakis, Frances Chung

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical anesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06693869 (The Risk of Surgical Cancellation in Adult Patients Assessed by Telephone Versus In-person for Scheduled Non-cardiac Elective Surgery.), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT06693869 completednot on this mapstarted 2025, after this paper: background citation

The Risk of Surgical Cancellation in Adult Patients Assessed by Telephone Versus In-person for Scheduled Non-cardiac Elective Surgery.

TypeobservationalSponsorUniversidad de AntioquiaRan2025 to 2025Enrolled1,176ConditionsSurgical Procedures, Telemedicine, Preanesthetic Medication, Preoperative Care
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  14. Advances in telemedicine implementation for preoperative assessment: a call to action.Journal of anesthesia, analgesia and critical care · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kevin ZhangFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Anesthesia and Pain Management, University Health Network, University of Toronto, Toronto, ON M5T 2S8, Canada.
Matin Rashid-KolvearDepartment of Anesthesia and Pain Management, University Health Network, University of Toronto, Toronto, ON M5T 2S8, Canada; School of Medicine, University College Dublin, Dublin, Leinster D04 C7X2, Ireland.
Rida WaseemDepartment of Anesthesia and Pain Management, University Health Network, University of Toronto, Toronto, ON M5T 2S8, Canada.
Marina EnglesakisLibrary and Information Services, University Health Network, Toronto, ON M5G 2C4, Canada.
Frances ChungDepartment of Anesthesia and Pain Management, University Health Network, University of Toronto, Toronto, ON M5T 2S8, Canada. Electronic address: frances.chung@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivePreoperative assessment is a standard evaluation, traditionally done in-person in a preanesthesia clinic, for patients who will be undergoing a procedure involving anesthesia. Given the increased adoption of virtual care during the coronavirus disease 2019 (COVID-19) pandemic, the purpose of this systematic review and meta-analysis is to review the effectiveness of virtual preoperative assessment for the evaluation of surgical patients.

designSystematic review and meta-analysis.

settingMEDLINE (Ovid), MEDLINE InProcess/ePubs, Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and ClinicalTrials.gov were searched from the initial coverage of the respective database to May 2021. A manual citation search of Google Scholar and PubMed was conducted to identify missed articles. Continued literature surveillance was done through July 2021. PATIENTS: Patients aged 18 years and older undergoing virtual preoperative anesthesia assessment.

interventionsVirtual preoperative assessment. MEASUREMENTS: Surgery cancellation rates, patient experience, resources saved, staff experience, success in using the data collected to diagnose and manage patients. MAIN

resultsFifteen studies (n = 31,496 patients) were included in this review. The average age of patients was 58 ± 15 years, and 47% were male. Virtual preoperative assessment resulted in similar surgery cancellation rates compared to in-person evaluation, with a pooled cancellation rate of 2% (95% confidence interval [CI]: 1-3%). Most studies reported a positive patient experience, with a pooled estimate of 90% (95% CI, 81-95%). There was a high success rate in using the information collected with virtual care, in the range of 92-100%, to diagnose and manage patients resulting in time and cost savings in the range of 24-137 min and $60-67 per patient.

conclusionsThis systematic review and meta-analysis demonstrates the utility of virtual care for preoperative assessment of surgical patients. Virtual preanesthesia evaluation had similar surgery cancellation rates, high patient satisfaction, and reduced costs compared to in-person evaluation.

Indexed as

COVID-19AdultAgedHumansMaleMiddle AgedPandemicsPatient SatisfactionPreoperative CareSARS-CoV-2AnesthesiaPreoperative assessmentSurgeryTelehealthTelemedicineVirtual care

Identifiers

PMID34649158
PMCPMC9759637

What OpenQuestion holds

Textmetadata
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Registered trials

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.