Evidence map›Paper›PMID 38601253›Full record

ArticleJournal of maxillofacial and oral surgery2024

Prevalence of Oral Manifestations in COVID-19-Diagnosed Patients at a Tertiary Care Hospital in Kerala.

Kurumba Prakash, R Bindu, N M Sanoj

Open access · greenAbstract read
In one paragraph

Article in Journal of maxillofacial and oral surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Kurumba PrakashOral & Maxillofacial Surgery, Government Medical College, Kollam, Kerala India.
R BinduOral & Maxillofacial Surgery, Government Dental College, Thiruvananthapuram, Kerala India.
N M SanojOral & Maxillofacial Surgery, Government Medical College, Kollam, Kerala India.
Government Medical College · INGovernment Dental College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19, a pandemic since 2019, is still causing significant healthcare burden across the world. Although the disease primarily presents with respiratory symptoms, a multitude of signs and symptoms may be manifested elsewhere in the body. Aim: This study was to estimate the prevalence of oral manifestations in COVID-19 diagnosed patients and thereby understand the effects of corona virus disease on oral health. Materials & methods: A total of 472 patients were evaluated using a questionnaire and further examined visually using a mouth mirror and a light source.The patients were evaluated for erythema, ulcers, macule, papule, vescicles, bullae or any other abnormal changes within the oral cavity. Results: 103 patients (21%) were found to have oral lesions and 41 (39.8%) of them presented with palatal enanthem which was macular in nature. Candidiasis was noted in 19 (18.4%) patients, ulcer in 4 (3.8%), mucositis in 5 (4.8%), angular cheilitis in 3 (2.9%), white coating on tongue in 25 (24.2%) & depapillated tongue with glossitis in 6 (5.8%). Multivariate analysis was done using logistic regression.Tobacco chewing, malignancies and altered taste sensation were found to be independently associated with oral lesions. Conclusion: The study thus confirms the presence of oral lesions in diagnosed COVID-19 patients prompting healthcare professionals on a multidisciplinary approach towards this novel disease.

Indexed as

COVID 19EnanthemOral manifestationsPrevalence

Identifiers

PMID38601253
PMCPMC11001806
OpenAlexW4389248422

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.