Evidence map›Paper›PMID 38440502›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2024

A Clinical Study of Malignant Sino-Nasal Tumors.

Saloni Chowdhuri, Shailesh Nikam, Prashant Keche, Mahendra Katre, Pramod Dhanajkar

Open access · greenAbstract read
In one paragraph

Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2024. 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, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Saloni ChowdhuriDepartment of ENT, Govt. Medical College, Aurangabad, Maharashtra India.
Shailesh NikamDepartment of ENT, Govt. Medical College, Aurangabad, Maharashtra India.
Prashant KecheDepartment of ENT, Govt. Medical College, Aurangabad, Maharashtra India.
Mahendra KatreGovernment Cancer Hospital, Aurangabad, Maharashtra India.
Pramod DhanajkarGovernment Cancer Hospital, Aurangabad, Maharashtra India.
Government Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sino-nasal cavities represent an anatomical region affected by a variety of tumors with clinical, etiological, genetic and pathological features, which are distinct from tumors commonly encountered in the area of head and neck cancers. We have undertaken this study with the aim of assessing clinical profile, various treatment modalities and outcome of patients with malignant sino-nasal tumors. In this prospective study of two years, done in a rural tertiary care hospital of India, 40 patients with malignant neoplastic tumors of nasal cavity, sinuses and nasopharynx were analyzed for their clinic-pathological and radiological profile and surgical management. The age range found was 10-78 years. There was a significant male preponderance with 23 (57.5%) male patients. Most common histological type seen in our study was Squamous cell carcinoma amongst 32 (80%) of cases. Maximum number of patients were managed with combination therapy of Surgery and Radiotherapy i.e. in 21 patients (52.5%). Multimodality treatment has been deemed the most efficacious choice of treatment which would improve disease free survival for the patients.

Indexed as

Malignant neoplasmSino-nasal tumors

Identifiers

PMID38440502
PMCPMC10908926
OpenAlexW4385782727

What OpenQuestion holds

Textmetadata
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.