Evidence map›Paper›PMID 38566709›Full record

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

Novel Grading System Based on Nasal Endoscopy: Our Experience with 650 Mucormycosis Cases.

Anshul Sharma, Surbhi Godha, Jagram Verma, Lokesh Bhalot, Yamini Gupta, R K Mundra

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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
0.2field-weighted citation impact, top 45% 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, 1 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

6 authors at 2 institutions in 1 country.

Anshul SharmaDepartment of Otorhinolaryngology, Gandhi Medical College, Bhopal, MP India.
Surbhi GodhaDepartment of Otorhinolaryngology, M.G.M Medical College, Indore, MP India.
Jagram VermaDepartment of Otorhinolaryngology, M.G.M Medical College, Indore, MP India.
Lokesh BhalotDepartment of Otorhinolaryngology, M.G.M Medical College, Indore, MP India.ORCID 0000-0003-3278-3583
Yamini GuptaDepartment of Otorhinolaryngology, M.G.M Medical College, Indore, MP India.
R K MundraDepartment of Otorhinolaryngology, M.G.M Medical College, Indore, MP India.
Mahatma Gandhi Memorial Medical College · INGandhi Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhinocerebralmucormycosis, is a progressive fungal invasion of a hard palate, paranasal sinuses, orbit, and brain. Post covid the huge number of mucor cases reported in our institute. To combat them a uniform assessment scale was needed as multiple healthcare workers were involved. Thus, a novel linear grading system on nasal endoscopy was developed for the early management of patients to prevent morbidity and mortality. A Prospective study of 650 patients in Epidemic duration from April to June 2021 in a tertiary health center, Central India. Patients subjected to Nasal Endoscopy with 0degree 4 mm Telescope and classified into 5 categories according to the severity of the disease. In a novel grading system, minimum patients were of grade 0, maximum was in Grade I. Maxillary sinus was most commonly involved. This novel grading system on nasal endoscopy makes the management of patients much easier in an epidemic, reducing human errors, morbidity, and mortality of the fulminant disease.

Indexed as

Grading systemMucormycosisNasal endoscopy

Identifiers

PMID38566709
PMCPMC10982223
OpenAlexW4389828119

What OpenQuestion holds

Textmetadata
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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.