Evidence map›Paper›PMID 34470649›Full record

ArticleWorld journal of surgical oncology2021

How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?

Zahra Mehdipour Namdar, Navid Omidifar, Peyman Arasteh, Majid Akrami, Sedigheh Tahmasebi, Aida Salehi Nobandegani, Sogol Sedighi, Vahid Zangouri, Abdolrasoul Talei

Abstract read
In one paragraph

Article in World 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Review
  5. Review
  6. Observational
  7. Article
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  9. Review
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  14. Evolution of Frozen Section in Carcinoma Breast: Systematic Review.International journal of breast cancer · 2022
    Review
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

9 authors.

Zahra Mehdipour NamdarBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Navid OmidifarClinical Education Research Center, Department of Pathology, Shiraz University of Medical Sciences, Shiraz, Iran.
Peyman ArastehBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Majid AkramiBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sedigheh TahmasebiBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Aida Salehi NobandeganiBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sogol SedighiBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Vahid ZangouriBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. vahid.zangouri@yahoo.com.
Abdolrasoul TaleiClinical Education Research Center, Department of Pathology, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrozen section (FS) pathology has multiple limitations, and different institutions report variable experiences with the use of FS for diagnosis of tumor involvement. We aimed to compare the FS accuracy with that of permanent pathology (gold standard) regarding marginal involvement and lymph node status using data from the largest breast cancer registry in Iran.

methodsIn this retrospective study, women who had both FS and permanent pathology reports were included. The two pathology reports were cross compared with regard to the involvement of tumor margins and sentinel lymph nodes.

resultsOverall, 2786 patients entered the study. Mean age of patients was 48.96±11.44 years. A total of 1742 margins were analyzed. Accordingly, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FS pathology for detection of involvement of involved margins were 78.49%, 97.63%, 65.1%, and 98.7%, respectively. The accuracy and area under the curve (AUC) for FS pathology were 96.61% and 0.73 (95% CI: 0.64-0.831), respectively. A total of 1702 sentinel lymph node biopsies were assessed. Sensitivity, specificity, PPV, and NPV, of FS pathology for detection of lymph node involvement, were 87.1%, 98%, 95.5%, and 93.3%, respectively. Accuracy and AUC of FS for diagnosis of involved lymph nodes were 94.1% and 0.926 (95% CI: 0.909-0.942), respectively.

conclusionFrozen pathology is a suitable method for identifying involved sentinel lymph nodes in patients with breast cancer, but this method has a less than optimum efficacy for detecting and confirming marginal involvement.

Indexed as

Breast NeoplasmsFrozen SectionsAdultFemaleHumansLymph Node ExcisionLymph NodesMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificitySentinel Lymph Node BiopsyBreast cancerFrozen sectionsLymph nodeMargins of excisionPathology

Identifiers

PMID34470649
PMCPMC8411544

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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.