Evidence map›Paper›PMID 42045685›Full record

SynthesisAesthetic plastic surgery2026

Telemedicine in Plastic Surgery: A Systematic Review and Meta-analysis of Utilization and Outcomes Pre- and Post-pandemic.

Morvarid Mehdizadeh, Felita W Zhang, LaYow C Yu, Jian H Li, Agustin N Posso, Audrey K Mustoe, Maria J Escobar-Domingo, Jose Foppiani, Sarah Karinja, Bernard T Lee

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Morvarid Mehdizadeh *Department of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Felita W Zhang *Department of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
LaYow C YuDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jian H LiSUNY Upstate Medical University, Syracuse, NY, USA.
Agustin N PossoDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Audrey K MustoeDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Maria J Escobar-DomingoDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jose FoppianiDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Sarah KarinjaDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Bernard T LeeDepartment of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. blee3@bidmc.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine revolutionized healthcare post-COVID-19 by expanding virtual care across consultations, post-operative care, and inter-physician collaboration. However, its impact on adoption and effectiveness in plastic surgery remains underexplored. This study systematically compares pre- and post-pandemic telemedicine in plastic surgery, focusing on outcomes, accessibility, and patient satisfaction to inform best practices.

methodsA systematic review was conducted using PubMed, Medline, and Web of Science, following PRISMA guidelines, for articles published through November 2024. Extracted data included author, year, country, subspecialty, pandemic classification, sample size, demographics, utilization, barriers, travel time/distance, satisfaction, complications, and appointment duration. Meta-analyses calculated pooled estimates with 95% confidence intervals. Meta-regression and Welch's t-test assessed pre- versus post-pandemic differences. Analyses were performed in R 4.4.1.

resultsOf 450 identified publications, 72 met inclusion criteria, encompassing 9435 subjects (mean age: 47.99). 89.3% (95% CI 59.3-96.2%) of patients reported willingness to reuse telemedicine, and the pooled satisfaction rate was 83.9% (95% CI 79.4-88.5; p < 0.05). Meta-analysis showed significant reductions in travel time (120 min; p < 0.05) and distance (187.1 km; p < 0.05). Five studies reported a mean appointment duration of 16.07 min. Complications were rare (7.7%; 95% CI 2.9-18.6%; p < 0.05). Post-pandemic satisfaction score was lower (81.1 vs. 91.2; p = 0.0315), likely reflecting increased utilization and technological barriers. Other outcomes, including complication rates and willingness to reuse telemedicine, showed no significant difference (p > 0.05).

conclusionTelemedicine plays an evolving role in plastic surgery, reducing travel burden and maintaining safety. However, lower post-pandemic satisfaction highlights the need to improve accessibility and technology to optimize outcomes. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

COVID-19Plastic Surgery ProceduresSurgery, PlasticTelemedicineHealth Services AccessibilityHumansPandemicsPatient SatisfactionSARS-CoV-2COVID-19 pandemicHealthcare accessibilityHealthcare deliveryPlastic surgeryTelehealthTelemedicine

Identifiers

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.