Evidence map›Paper›PMID 38440524›Full record

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

Comparison of Low-Dose Non-contrast CT in Detecting Anatomical and Surgically Important Variants of Paranasal Sinuses to Standard Dose Non-contrast CT: Experience from a Tertiary Care Hospital in Sub-Himalayan Region of Northern India.

Swastika Mishra, Vijay Thakur, Sumala Kapila, Sandeep Moudgil, Sanat Mishra

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PubMed Full text at PMC Publisher
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
0.3field-weighted citation impact, top 37% 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

5 authors at 3 institutions in 1 country.

Swastika MishraDepartment of Radiodiagnosis, IGMC, Shimla, Himachal Pradesh 171001 India.
Vijay ThakurDepartment of Radiodiagnosis, IGMC, Shimla, Himachal Pradesh 171001 India.
Sumala KapilaDepartment of Radiodiagnosis, IGMC, Shimla, Himachal Pradesh 171001 India.
Sandeep MoudgilDepartment of Intervention Radiology, NIMS University, Jaipur, Rajasthan 303121 India.ORCID 0000-0001-9547-6316
Sanat MishraDepartment of Gastroenterology, GMC-SSH, Nagpur, Maharashtra 440003 India.
Government Medical College · INIndira Gandhi Medical College · INNIMS University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) is the gold standard for diagnosing sinusitis and anatomical variations and a guide for paranasal sinus (PNS) surgeries. High doses of radiation lead to increased risk of head and neck malignancies, radiation-induced cataracts, hypothyroidism, and hyperthyroidism. The purpose of this study was to assess the effectiveness of low-dose CT as compared to standard-dose CT in the identification of anatomical variants of paranasal sinus and rhinosinusitis. This was a prospective cross-sectional study consisting of 72 patients who were divided equally into cases (underwent low-dose CT for PNS) and controls (underwent CT for PNS using standard dose protocols). Prevalence of anatomical variants and sinusitis were compared. Image quality was assessed using volume CT dose index (CTDI

Indexed as

Anatomical variantsCTDIvolDose length product (DLP)Effective doseLow dose NCCT PNSNoiseParanasal sinusRhinosinusitisSurgically important variants

Identifiers

PMID38440524
PMCPMC10908968
OpenAlexW4385380410

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.