Evidence map›Paper›PMID 36277806›Full record

ArticleJournal of cytology

Cytological Diagnosis of Malignant Mesothelioma: A Case Series.

Sakshi Dahiya, Meeta Singh, Shyama Jain, Bembem Khuraijam, Naman Suroya, Shramana Mandal

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 1 institution in 1 country.

Sakshi DahiyaDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Meeta SinghDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Shyama JainDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Bembem KhuraijamDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Naman SuroyaDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Shramana MandalDepartment of Pathology, Maulana Azad Medical College, Delhi, India.
Maulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mesotheliomas are neoplasms of the serosal lining of the body cavities. Diagnosis requires a multimodal approach of clinical findings, cytology, and histopathology with immunohistochemistry (IHC). The published sensitivity of cytology for diagnosing mesothelioma ranges from 30% to 75%. Aim and Objectives: This study aimed to calculate the incidence of malignant mesothelioma (MM) at our institute and to study the cytological features of MM. Materials and Methods: A retrospective study of pleural, peritoneal, and pericardial fluids submitted at our institute was done. The duration of the study was 8 years (2011-2019). Apart from examining Giemsa smears, a panel of immunocytochemical (ICC) and cell block immunohistochemical (IHC) markers was applied to achieve the diagnosis. These included calretinin, mesothelin, CK5/6, Hector Battifora mesothelial cell antibody (HBME), WT1, MOC31, CK7 and CK20. Histopathological correlation was done wherever possible. Result: In the present study, we compiled four cases of MM over 8 years diagnosed on serous effusion cytology and confirmed by immunocytochemistry (ICC)/cell block immunohistochemistry (IHC)/biopsy. This indicates a rare incidence of MM. The Cytological features of MM were studied. Conclusion: The diagnosis of MM is difficult, especially cytologically. It was found to be a rare entity in the malignant cases diagnosed on effusion cytology.

Indexed as

Cytologyfluidsmalignant mesotheliomapericardialperitonealpleural

Identifiers

PMID36277806
PMCPMC9585811
OpenAlexW4288785595

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.