Evidence map›Paper›PMID 34354885›Full record

ArticleCureus2021

Impact of Histological Type and Grade on the Diagnostic Accuracy of Intraoperative Frozen Section for Detecting Breast Cancer Metastasis to Axillary Sentinel Lymph Nodes.

Atif A Hashmi, Rubina Riaz, Shamail Zia, Hiba Shahid, Umair Arshad Malik, Rabeet Khan, Muhammad Irfan, Farozaan Shamail, Fazail Zia, Muhammad Ghani Asif

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
0.4field-weighted citation impact, top 46% 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, 6 citations in OpenAlex.

  1. Review
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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

10 authors at 5 institutions in 2 countries.

Atif A HashmiPathology, Liaquat National Hospital and Medical College, Karachi, PAK.
Rubina RiazPathology, Fazaia Medical College, Air University, Islamabad, PAK.
Shamail ZiaPathology, Ziauddin University, Karachi, PAK.
Hiba ShahidInternal Medicine, Liaquat National Hospital and Medical College, Karachi, PAK.
Umair Arshad MalikInternal Medicine, Aga Khan University, Karachi, PAK.
Rabeet KhanInternal Medicine, Buckinghamshire Healthcare NHS Trust, Aylesbury, GBR.
Muhammad IrfanStatistics, Liaquat National Hospital and Medical College, Karachi, PAK.
Farozaan ShamailPathology, Ziauddin University, Karachi, PAK.
Fazail ZiaPathology, Jinnah Sindh Medical University, Karachi, PAK.
Muhammad Ghani AsifPathology, Multan Medical and Dental College, Multan, PAK.
Liaquat National Hospital · PKNishtar Medical College and Hospital · PKBuckinghamshire Healthcare NHS Trust · GBAga Khan University · PKJinnah Sindh Medical University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Intraoperative sentinel lymph node (SLN) evaluation is the standard of care in patients with clinically node-negative breast cancer. The most common histological subtype of breast carcinoma is invasive ductal carcinoma (IDC), followed by invasive lobular carcinoma (ILC). Alternatively, histological grades vary from grades G1 to G3. Therefore, in this study, we evaluated the diagnostic accuracy of frozen section (FS) for detecting breast cancer metastasis to SLNs with respect to histological subtypes and grades. Methods A retrospective observational study was conducted in the Department of Histopathology at Liaquat National Hospital and Medical College, Pakistan, from January 2013 till December 2020, over a duration of eight years. A total of 540 cases of primary breast cancer, undergoing upfront breast surgery were included in the study. Intraoperatively, SLNs were identified and sent for FS. After FS reporting, the remaining tissue was submitted for final (paraffin) section examination after formalin fixation, and results of FS and final (paraffin) sections were compared. Results The mean age of the patients included in the study was 52.05±12.42 years, and the median number of SLNs was three (ranging from one to 14). The overall sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of intraoperative FS were 88.2%, 100%, 100%, 92.5%, and 95.2%, respectively. The sensitivity of FS for IDC was 88.3%, whereas it was 85.7% for ILC. Alternatively, the sensitivity of FS for grade G1, G2, and G3 tumors was 78.3%, 91.5%, and 90.2%, respectively. The false-negative rate for grade G1 tumors was 21.7%, which was higher than G2 and G3 tumors (8.5% and 9.8%, respectively). Similarly, the false-negative rate for cases where the number of SLNs was more than three was only 5.4%, which was lower than cases with a single and two to three SLNs sent on FS (23.1 and 14.7%, respectively). Conclusion The sensitivity of intraoperative FS for detecting ILC metastasis to axillary SLNs was not substantially different from IDC; however, histological grade affects the sensitivity of FS diagnosis, with lower-grade tumors having low sensitivity. Moreover, increasing the number of SLNs sent intraoperatively on FS improves the sensitivity of FS for detecting breast cancer metastasis to axillary SLNs.

Indexed as

breast carcinomainfiltrating ductal carcinomainfiltrating lobular carcinomaintraoperative frozen sectionsentinel lymph node (sln)

Identifiers

PMID34354885
PMCPMC8328395
OpenAlexW3184523888

What OpenQuestion holds

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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.