Evidence map›Paper›PMID 32984126›Full record

ArticleJournal of family medicine and primary care2020

Role of image-guided fine needle aspiration cytology of lung lesions in diagnosis and primary care of patients: Experience in a Government Medical College of Eastern India.

Preeti Rihal Chakrabarti, Kaushambi Chakraborty, Prachi Kukreja

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Preeti Rihal ChakrabartiDepartment of Pathology, ESI PGIMSR and ESIC Medical College and ESIC Hospital, Joka, Kolkata, West Bengal, India.
Kaushambi ChakrabortyDepartment of Pathology, ESI PGIMSR and ESIC Medical College and ESIC Hospital, Joka, Kolkata, West Bengal, India.
Prachi KukrejaDepartment of Pathology, ESI PGIMSR and ESIC Medical College and ESIC Hospital, Joka, Kolkata, West Bengal, India.
ESI - Post Graduate Institute of Medical Science and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLung cancer is the most common cancer affecting males worldwide. Its incidence in females is also on an increasing trend. Other conditions affecting lung-like tuberculosis are on a rise in middle-east countries due to overcrowding and poor living conditions. In developing countries, image-guided fine-needle aspiration cytology (FNAC) of lung lesions is a cost-effective method for early detection and apt treatment of patients by physicians.

aimThe main aim of this study is to identify the importance of computed tomography (CT)guided FNAC as an accurate and cost-effective tool in early diagnosis of lung lesions. SETTINGS AND

designIt was prospective and retrospective study done in a government medical college of West Bengal, India. MATERIAL AND

methodsOver a period of two years, 42 cases were included in the study. These were further subjected to evaluation of pulmonary mass lesions by CT guided transthoracic fine needle aspiration cytology.

resultsOut of these 42 cases majority were males with cough being most common clinical presentation. On CT guided FNAC of pulmonary lesions 69% of cases were malignant. Cytoradiological correlation in this study was 90.4%.

conclusionCT guided FNAC of lung lesions is an accurate, cost effective and quick technique for early diagnosis, referral and appropriate treatment of patients in developing countries.

Indexed as

CT-guided FNAClung lesion

Identifiers

PMID32984126
PMCPMC7491830
OpenAlexW3038578205

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.