Evidence map›Paper›PMID 33024303›Full record

ReviewModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2021

Lobular carcinoma in situ: diagnostic criteria and molecular correlates.

Anna Sokolova, Sunil R Lakhani

Abstract readReview
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In one paragraph

Review in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Review
  2. The promise of artificial intelligence in diagnostic breast pathology.Virchows Archiv : an international journal of pathology · 2026
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  13. The Genomic and Biologic Landscapes of Breast Cancer and Racial Differences.International journal of molecular sciences · 2024
    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

2 authors.

Anna SokolovaDepartment of Anatomical Pathology, Pathology Queensland, The Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia.
Sunil R LakhaniDepartment of Anatomical Pathology, Pathology Queensland, The Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia. s.lakhani@uq.edu.au.ORCID http://orcid.org/0000-0003-1879-2555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lobular neoplasia (LN) is an atypical proliferation of small, dyscohesive epithelial cells within the terminal duct lobular unit (TDLU), with or without pagetoid extension and encompasses both lobular carcinoma in situ (LCIS) and atypical lobular hyperplasia (ALH). LN is a non-obligate precursor of invasive breast carcinoma and the diagnosis of LN confers an increased risk of invasive carcinoma development, compared to the general population. Diagnostic challenges arise in the accurate classification of LCIS into classic, pleomorphic and florid subtypes, in distinguishing between LCIS and ductal carcinoma in situ (DCIS) and in the appropriate use and interpretation of E-cadherin immunohistochemistry. Due to the paucity of robust data on the natural history of LCIS, and hence its clinical significance, the management is often pragmatic rather than entirely evidence-based and requires a multidisciplinary approach. In this review, we discuss the clinicopathologic and molecular features of LCIS and address the key challenges that arise in the diagnosis and management of LCIS.

Indexed as

Breast Carcinoma In SituBiopsy, Large-Core NeedleBreast NeoplasmsCadherinsCarcinoma, Intraductal, NoninfiltratingDiagnosis, DifferentialFemaleHumansImmunohistochemistryMammary Glands, HumanPrecancerous ConditionsCadherins

Identifiers

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.