Evidence map›Paper›PMID 34349441›Full record

ArticleJournal of oral and maxillofacial pathology : JOMFP

Characterization of anti-nuclear antibodies in patients with oral submucous fibrosis and its clinicopathologic implications - An immunofluorescence study.

Aprna Gupta, Surya Narayan Das, Bijoy Kumar Das, Lipsa Bhuyan

Open access · greenAbstract read
In one paragraph

Article in Journal of oral and maxillofacial pathology : JOMFP. 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
0.3field-weighted citation impact, top 43% 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, 2 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Aprna GuptaDepartment of Oral and Maxillofacial Pathology, HITECH Dental College and Hospital, Bhubaneswar, Odisha, India.
Surya Narayan DasDepartment of Oral and Maxillofacial Pathology, SCB Dental College and Hospital, Cuttack, Odisha, India.
Bijoy Kumar DasDepartment of Oral and Maxillofacial Pathology, SCB Dental College and Hospital, Cuttack, Odisha, India.
Lipsa BhuyanDepartment of Oral and Maxillofacial Pathology, Kalinga Institute of Dental Sciences, KIIT University, Bhubaneswar, Odisha, India.
Sriram Chandra Bhanja Medical College Hospital · INHi-Tech Medical College & Hospital · INKIIT University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral submucous fibrosis (OSF), widespread in the Indian subcontinent, is a chronic debilitating disease of the oral cavity having a high potential for malignancy. The etiology of OSF is debatable. However, recently, autoimmunity had been suggested to play a significant role in its etiology, yet unproven. Hence, this study was conducted to explore the presence of antinuclear antibodies (ANAs) in the serum of OSF patients which is one of the serum markers of autoimmune diseases and its possible clinicopathologic associations. MATERIALS AND

methodsA total of 105 blood samples were collected from patients with OSF (

resultsSignificantly higher incidence of ANA (35.6%) was found in 45 OSF patients than in the healthy group (

conclusionThe presence of autoantibodies such as ANA, female predilection, alteration of humoral and cellular immunity justifies OSF as an autoimmune disease. This study provides broader prospective to adopt therapies that selectively target autoimmune pathways.

Indexed as

Antinuclear antibodiesautoantibodiesautoimmuneimmunofluorescenceoral submucous fibrosis

Identifiers

PMID34349441
PMCPMC8272473
OpenAlexW3167634754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.