Evidence map›Paper›PMID 34295086›Full record

ArticleIndian journal of surgical oncology2021

Trends in Axillary Management of Early Breast Cancer: a Questionnaire-Based Pattern of Practice Survey for India.

Sanjit Kumar Agrawal, Noopur Priya, Pooja Agarwal, Abhishek Sharma, Soumitra Shankar Datta, S V S Deo, Rosina Ahmed

Abstract read
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Article in Indian journal of surgical oncology, 2021. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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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

7 authors.

Sanjit Kumar AgrawalDepartment Of Breast Oncosurgery, Tata Medical Center, Rajarhat, Newtown, Kolkata, West Bengal 700156 India.ORCID 0000-0002-3561-4534
Noopur PriyaDepartment Of Breast Oncosurgery, Tata Medical Center, Rajarhat, Newtown, Kolkata, West Bengal 700156 India.
Pooja AgarwalDepartment Of Breast Oncosurgery, Tata Medical Center, Rajarhat, Newtown, Kolkata, West Bengal 700156 India.
Abhishek SharmaDepartment Of Breast Oncosurgery, Tata Medical Center, Rajarhat, Newtown, Kolkata, West Bengal 700156 India.
Soumitra Shankar DattaDepartment of palliative care and psycho oncology, Tata Medical Center, Kolkata, India.
S V S DeoDepartment of Surgical Oncology, AIIMS, New Delhi, India.
Rosina AhmedDepartment Of Breast Oncosurgery, Tata Medical Center, Rajarhat, Newtown, Kolkata, West Bengal 700156 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical management of breast cancer (BC) has evolved from radical surgeries to conservative with better cosmetic and comparable oncological outcomes. For axillary staging, it has evolved from axillary lymph node dissection (ALND) to sentinel lymph node biopsy (SLNB). No detailed information exists in terms of the clinical practice pattern of surgical management of axilla for BC patients in India. A questionnaire-based survey was developed. The survey was done at the annual meeting of the Association of Breast Surgeons of India (ABSI) in November 2018. Responses were recorded and analysed by SPSS 23. One hundred twelve out of 400 (28%) responded to the survey. Half of the respondents were surgical oncologist and 36.6% were performing > 150 BC surgeries/year. The primary technique for axillary staging in node-negative BC was SLNB for 68.5% of respondents. Majority of surgeons (47%) reported performing SLNB by methylene blue dye only. Unavailability of radioisotope (46.7%) and lack of frozen section (26.7%) were reported as two major barriers for not performing SLNB. Twenty-three percent did perform SLNB in post-NACT setting. Only 15.8% have omitted completion ALND in Z0011 trial eligible SLN-positive patients. 45.9% skipped completion ALND in SLN positive with micro metastasis only. Many surgeons in India are adopting SLNB as a method of axillary staging into their clinical practice. However, large number of surgeons still believe in conservative approach, most probably due to unavailability of resources and lack of Indian data. Barrier identified in this survey may be useful for future development.

Indexed as

Breast cancerIndiaSentinel lymph node biopsySurvey

Identifiers

PMID34295086
PMCPMC8272771

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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.