Evidence map›Paper›PMID 38755071›Full record

ArticleOral surgery, oral medicine, oral pathology and oral radiology2024

A cytomics-on-a-chip platform and diagnostic model stratifies risk for oral lichenoid conditions.

Michael P McRae, Kritika Srinivasan Rajsri, A Ross Kerr, Nadarajah Vigneswaran, Spencer W Redding, Malvin Janal, Stella K Kang, Leena Palomo, Nicolaos J Christodoulides, Meena Singh and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oral surgery, oral medicine, oral pathology and oral radiology, 2024. 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
–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

1 citing paper in PubMed.

  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

12 authors.

Michael P McRaeDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY, USA.
Kritika Srinivasan RajsriDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY, USA; Department of Pathology, Vilcek Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, USA.
A Ross KerrDepartment of Oral and Maxillofacial Pathology, Radiology & Medicine, New York University College of Dentistry, New York, NY, USA.
Nadarajah VigneswaranDepartment of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Spencer W ReddingDepartment of Comprehensive Dentistry and Mays Cancer Center, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Malvin JanalDepartment of Epidemiology and Health Promotion, New York University College of Dentistry, New York, NY, USA.
Stella K KangDepartments of Radiology and Population Health, New York University School of Medicine, New York, NY, USA.
Leena PalomoAshman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY, USA.
Nicolaos J ChristodoulidesDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY, USA.
Meena SinghDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY, USA.
Jeffery JohnstonResearch & Data Institute, Delta Dental of Michigan, OH, and IN, USA.
John T McDevittDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY, USA; Department of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, NY, USA. Electronic address: mcdevitt@nyu.edu.

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI DAVID N KU · 2018 to 2026
$96.1M
Oral Dysplasia and Oral Cavity Cancer Risk in Dental and Medical Surveillance Settings Using a Chairside Chip-Based Cytopathology ToolR01DE031319 · NIDCR · NEW YORK UNIVERSITY · PI JOHN T MCDEVITT · 2022 to 2026
$3.7M
Monitoring of Oral Cancer Patients Using Novel Lab-on-a-Chip EnsemblesRC2DE020785 · NIDCR · RICE UNIVERSITY · PI MCDEVITT, JOHN T · 2009 to 2012
$3.5M
Optimizing Oral Cancer Screening and Precision Management of Potentially Malignant Oral LesionsR01DE030169 · NIDCR · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KANG, STELLA · 2021 to 2025
$2.7M
Lab-on-a-Chip-Based System for Detection and Monitoring of Oral Cancer in Dental SettingsR44DE025798 · NIDCR · SENSODX II, LLC · PI MCDEVITT, JOHN T, MEHALSO, ROBERT · 2016 to 2018
$1.7M
NIBIB NIH HHS U54 EB027690NIDCR NIH HHS 3RC2DE020785-02S1NIDCR NIH HHS 3RC2DE020785-02S2NIDCR NIH HHS 4R44DE025798-02NIDCR NIH HHS R01 DE030169NIDCR NIH HHS R01 DE031319NIDCR NIH HHS R44 DE025798NIDCR NIH HHS RC2 DE020785
6 · The paper itself

Abstract

objectiveA small fraction of oral lichenoid conditions (OLC) have potential for malignant transformation. Distinguishing OLCs from other oral potentially malignant disorders (OPMDs) can help prevent unnecessary concern or testing, but accurate identification by nonexpert clinicians is challenging due to overlapping clinical features. In this study, the authors developed a 'cytomics-on-a-chip' tool and integrated predictive model for aiding the identification of OLCs. STUDY

designAll study subjects underwent both scalpel biopsy for histopathology and brush cytology. A predictive model and OLC Index comprising clinical, demographic, and cytologic features was generated to discriminate between subjects with lichenoid (OLC+) (N = 94) and nonlichenoid (OLC-) (N = 237) histologic features in a population with OPMDs.

resultsThe OLC Index discriminated OLC+ and OLC- subjects with area under the curve (AUC) of 0.76. Diagnostic accuracy of the OLC Index was not significantly different from expert clinician impressions, with AUC of 0.81 (P = .0704). Percent agreement was comparable across all raters, with 83.4% between expert clinicians and histopathology, 78.3% between OLC Index and expert clinician, and 77.3% between OLC Index and histopathology.

conclusionsThe cytomics-on-a-chip tool and integrated diagnostic model have the potential to facilitate both the triage and diagnosis of patients presenting with OPMDs and OLCs.

Indexed as

Lichen Planus, OralAdultAgedBiopsyDiagnosis, DifferentialFemaleHumansLab-On-A-Chip DevicesMaleMiddle AgedMouth NeoplasmsPrecancerous ConditionsRisk Assessment

Identifiers

PMID38755071
PMCPMC13159439

What OpenQuestion holds

Textmetadata
LicenceTDM
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.