Evidence map›Paper›PMID 31110414›Full record

ArticleJournal of oral and maxillofacial pathology : JOMFP

Prognostic efficiency of clinicopathologic scoring to predict cervical lymph node metastasis in oral squamous cell carcinoma.

Sangeetha Keloth Nayanar, Jaya Prasad Tripathy, Karthickeyan Duraisamy, Sajith Babu

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Multi-parametric arterial spin labeling and diffusion-weighted imaging in differentiation of metastatic from reactive lymph nodes in head and neck squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  4. Oral cancer: changing the aim of the biopsy in the age of precision medicine. A review.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2021
    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.

Sangeetha Keloth NayanarDepartment of Pathology, Malabar Cancer Centre, Thalassery, Kannur, India.
Jaya Prasad TripathyInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Karthickeyan DuraisamyFounder and Chair, Academy for Public Health, Kozhikode, Kerala, India.
Sajith BabuDepartment of Head and Neck Surgery, Malabar Cancer Centre, Thalassery, Kannur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe extent of involvement of cervical lymph nodes is known to be the most important prognosticator in oral squamous cell carcinoma (SCC) that significantly affects the survival rate of patients. The clinical, radiological and pathological factors that can predict cervical lymph node metastasis are yet to be ascertained clearly, which poses a challenge for the surgeon to determine the extent of neck dissection.

aimThis study aims to identify the clinical and histopathologic predictors of lymph node metastasis among patients with oral SCC and to devise a scoring system based on those predictors to aid in better clinical decision-making regarding the extent of neck dissection.

settingMalabar Cancer Centre, a specialized tertiary cancer care center in Kerala, India.

methodsA retrospective review of 160 patient records and biopsy slides collected and preserved between June 2014 and May 2016.

conclusionThe clinicopathologic parameters such as site of cancer (

Indexed as

Cervical lymph nodeMalabar Cancer Centreoral cancerrisk score

Identifiers

PMID31110414
PMCPMC6503798

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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.