Evidence map›Paper›PMID 31359912›Full record

ArticleJournal of cytology

Cytological Correlates of Axillary Nodal Involvement in Invasive Ductal Carcinoma of Breast.

Anamika Sinha, Satyajit Singh Gill

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 59% 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, 2 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

2 authors at 1 institution in 1 country.

Anamika SinhaDepartment of Pathology, Base Hospital and ACMS, Delhi Cantt, New Delhi, India.
Satyajit Singh GillDepartment of Laboratory Services, Jehangir Hospital, Pune, Maharashtra, India.
Jehangir Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextFine needle aspiration cytology (FNAC) plays an important role in the diagnosis of breast carcinoma. However, its role as a prognostic tool needs to be explored. This can be achieved by studying its correlation with an established prognostic marker such as axillary nodal metastasis.

aimsThis study was undertaken to correlate the cytological features of invasive ductal carcinoma (IDC) of breast with axillary lymph node status. SETTINGS AND

designTertiary care hospital, retrospective analytical study. MATERIALS AND

methodsThe study group included 150 cases of IDC of breast diagnosed on FNAC, who had subsequently undergone modified radical mastectomy. Cytologic grades were assigned as per Robinson's grading system. Histopathological sections of axillary lymph nodes were assessed for metastasis. STATISTICAL ANALYSIS USED: The cytologic grade and each feature of the cytologic grade were correlated with the lymph node metastasis using χ

resultA statistically significant correlation was noted between cytologic grade of tumor and axillary lymph node metastasis (

conclusionRobinson's cytologic grade of breast carcinoma correlates well with the presence of axillary lymph node metastasis and hence can be used as a prognostic tool. As there is an increasing trend toward conservative approach to management of breast carcinoma, patients receive preoperative neoadjuvant therapy which may alter the nodal status on the resected specimen. Hence, a high cytological grade of primary tumor, as assessed on FNAC before initiation of therapy, should alert the treating team of the possibility of axillary lymph nodal metastasis.

Indexed as

Axillary nodal metastasisfine needle aspiration cytologyinvasive duct carcinomaRobinson's grading system

Identifiers

PMID31359912
PMCPMC6592117
OpenAlexW2945135721

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.