Evidence map›Paper›PMID 41426183›Full record

ArticleSouth Asian journal of cancer2025

Novel Nomogram for Prediction of Lymph Node Metastases from Buccal Mucosa Squamous Carcinoma Using Histological Parameters.

Nitin Khunteta, Mohinder Viswanath, Akash Mishra, Deepak Subhash Samane, Swapnil Vanparia, Abhilash Madhavan, Dinesh Yadav, Sanjay Sharma, Anand Mohan, Rahul Gupta and 2 more

Abstract read
In one paragraph

Article in South Asian journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

No citing paper in PubMed yet.

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.

Nitin KhuntetaDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Mohinder ViswanathDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Akash MishraDivision of Biostatistics, Department of Community Medicine, Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.ORCID 0000-0001-8383-8316
Deepak Subhash SamaneDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Swapnil VanpariaDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Abhilash MadhavanDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Dinesh YadavDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Sanjay SharmaDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Anand MohanDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Rahul GuptaDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Purvish M ParikhDepartment of Clinical Hematology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.
Raj Govind SharmaDepartment of Surgical Oncology, Sri Ram Cancer & Superspeciality Centre (SRCC), Mahatma Gandhi Medical College & Hospital, Mahatma Gandhi University of Medical Sciences & Technology (MGUMST), Jaipur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of the study was to construct a nomogram that is easily reproducible, accurate, and cost-effective in predicting cervical lymph nodal metastasis in buccal mucosa cancer. Methodology: Patients who underwent radical resection of a primary tumor of the buccal mucosa with neck dissection were enrolled. Clinical characteristics independently associated with lymph nodal metastasis in multivariate analyses were adopted to build the model. Results: Patients who underwent surgery (January 2021-December 2021) were included as the model development cohort ( Conclusion: This study proposes a simple predictive model for the risk of nodal metastasis in buccal mucosa squamous cell cancer. The study has strength that, it is based on a large sample, proposed model being simple size, and based on parameters empirically supported as well as established in literature, easy to use in routine clinical practice, and cost-effective.

Indexed as

buccal mucosa squamous cell cancercervical lymph node metastasisnomogram in predicting nodal metastasisoral cavity cancersurgical outcomes

Identifiers

PMID41426183
PMCPMC12714475

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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.