Lesions located on the tongue after SARS-CoV-2 infection: A retrospective study

Changes that manifest on the tongue require observation and basic or specialized treatment. In the absence of pain, monitoring is recommended for a period of 4 weeks, after which a spontaneous disappearance should be expected. In the event that various changes occur in the oral cavity, the patient should be referred for specialized treatment.

Authors

Institutions

Publication Details

Journal
Dental and Medical Problems
Published
2025-08-20
DOI
https://doi.org/10.17219/dmp/179008
Primary Topic
Dermatological and COVID-19 studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lesions located on the tongue after SARS-CoV-2 infection: A retrospective study

Juliusz Rafałowicz, Leopold Wagner, Barbara Rafałowicz
Dental and Medical Problems
Dermatological and COVID-19 studies
article

Lesions located on the tongue after SARS-CoV-2 infection: A retrospective study

Juliusz Rafałowicz, Leopold Wagner, Barbara Rafałowicz
article en

Abstract

Changes that manifest on the tongue require observation and basic or specialized treatment. In the absence of pain, monitoring is recommended for a period of 4 weeks, after which a spontaneous disappearance should be expected. In the event that various changes occur in the oral cavity, the patient should be referred for specialized treatment.

Dental and Medical ProblemsVol. 62(4)
Medical University of Warsaw (PL)
Good health and well-being
Openalex Percentile: Top 63%
Dermatological and COVID-19 studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.