Evidence map›Paper›PMID 37066209›Full record

ArticleResearch square2023

Inter-observer agreement among specialists in the diagnosis of Oral Potentially Malignant Disorders and Oral Cancer using Store-and-Forward technology.

Keerthi Gurushanth, Nirza Mukhia, Sumsum P Sunny, Bofan Song, Shubhasini A Raghavan, Shubha Gurudath, Pramila Mendonca, Shaobai Li, Sanjana Patrick, Tsusennaro Imchen and 13 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 7 institutions in 3 countries.

Keerthi GurushanthKLE Society's Institute of Dental Sciences.
Nirza MukhiaKLE Society's Institute of Dental Sciences.
Sumsum P SunnyMazumdar Shaw Medical Foundation.
Bofan SongUniversity of Arizona.
Shubhasini A RaghavanKLE Society's Institute of Dental Sciences.
Shubha GurudathKLE Society's Institute of Dental Sciences.
Pramila MendoncaMazumdar Shaw Medical Foundation.
Shaobai LiUniversity of Arizona.
Sanjana PatrickBiocon Foundation.
Tsusennaro ImchenChristian Institute of Health Sciences and Research.
Shirley T LeivonChristian Institute of Health Sciences and Research.
Tulika ShrutiHomi Bhabha Cancer hospital.
Trupti KolurMazumdar Shaw Medical Foundation.
Vivek ShettyMazumdar Shaw Medical Foundation.
Vidya Bhushan RMazumdar Shaw Medical Foundation.
Rohan Michael RameshChristian Institute of Health Sciences and Research.
Vijay PillaiMazumdar Shaw Medical Foundation.
Kathryn O SBeckman Laser Institute, University of California Irvine School of Medicine.
Petra Wilder SmithBeckman Laser Institute, University of California Irvine School of Medicine.
Amritha SureshMazumdar Shaw Medical Foundation.
Rongguang LiangUniversity of Arizona.
Praveen Birur NKLE Society's Institute of Dental Sciences.
Moni A KuriakoseKarkinos Healthcare.
Mazumdar Shaw Medical Foundation · INKamineni Institute of Dental Sciences · INChristian Institute of Health Sciences and Research Hospital · INUniversity of Arizona · USUniversity of California, Irvine · USBhabha Hospital · INBiocon (Switzerland) · CH

Funding

Multimodal Intraoral Imaging System for Oral Cancer Detection and Diagnosis in Low Resource SettingR01DE030682 · NIDCR · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2021 to 2025
$2.8M
Low-cost Mobile Oral Cancer Screening for Low Resource SettingUH3CA239682 · NCI · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2018 to 2020
$2.5M
NCI NIH HHS UH3 CA239682NIDCR NIH HHS R01 DE030682
6 · The paper itself

Abstract

Oral Cancer is one of the most common causes of morbidity and mortality. Screening and mobile Health (mHealth) based approach facilitates remote early detection of Oral cancer in a resource-constrained settings. The emerging eHealth technology has aided specialist reach to rural areas enabling remote monitoring and triaging to downstage Oral cancer. Though the diagnostic accuracy of the remote specialist has been evaluated, there are no studies evaluating the consistency among the remote specialists, to the best of our knowledge. The purpose of the study was to evaluate the interobserver agreement between the specialists through telemedicine systems in real-world settings using store and forward technology. Two remote specialists independently diagnosed the clinical images from image repositories, and the diagnostic accuracy was compared with onsite specialist and histopathological diagnosis when available. Moderate agreement (k = 0.682) between two remote specialists and (k = 0.629) between the onsite specialist and two remote specialists in diagnosing oral lesions. The sensitivity and specificity of remote specialist 1 were 92.7% and 83.3%, whereas remote specialist 2 was 95.8% and 60%, respectively, compared to histopathology. The store and forward technology and telecare can be effective tools in triaging and surveillance of patients.

Indexed as

AgreementdiagnosisOral cancerpotentially malignantSpecialistTelemedicine

Identifiers

PMID37066209
PMCPMC10104264
OpenAlexW4362607075

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.