Evidence map›Paper›PMID 36277807›Full record

ArticleJournal of cytology

Reclassification of Salivary Gland Aspirates Based on "The Milan System for Reporting Salivary Gland Cytology": A Five-Year Retrospective Study.

Saloni Pahwa, Poonam Panjwani, V Gnanapriya

Open access · diamondAbstract read
In one paragraph

Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Saloni PahwaDepartment of Pathology, St Johns Medical College, Sarjapur Road, Bengaluru, Karnataka, India.
Poonam PanjwaniDepartment of Pathology, St Johns Medical College, Sarjapur Road, Bengaluru, Karnataka, India.
V GnanapriyaDepartment of Pathology, St Johns Medical College, Sarjapur Road, Bengaluru, Karnataka, India.
St.John's Medical College Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Milan System for reporting salivary gland cytopathology helps standardize reporting systems across institutions, improve communication between clinicians and pathologists and guide the clinical management of patients. Aims: This study was undertaken to evaluate the utility of the Milan system classification in cytology reporting. Settings and Design: The present study is a retrospective study conducted over a period of five years in tertiary care centre. Methods and Materials: All the cases of salivary gland aspirates were reviewed and reclassified into six diagnostic categories according to the Milan system of reporting salivary gland cytology (MSRSGC). Cytological diagnosis was correlated with the histopathological diagnosis wherever available. Results: A total of 258 cases were classified using the Milan system as non-diagnostic (20.9%), non-neoplastic (26.3%), atypia of undetermined significance (4.7%), neoplasm benign (37.5%), neoplasm of uncertain malignant potential (3.5%), suspicious for malignancy (0.4%), and malignancy (6.6%). Cytohistological discordance was noted among 8/76 cases (10.5%). The sensitivity and specificity of FNAC were 75% and 98.5%, respectively. The risk of malignancy was 14.2% for Category I, 9% for II, 50% for III, zero for IVA and IVB, and 83.3% for category VI. Conclusions: The new classification system helps pathologists to standardize reporting leading to better clinical and surgical management.

Indexed as

Milan systemrisk of malignancysalivary gland

Identifiers

PMID36277807
PMCPMC9585809
OpenAlexW4289181382

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.