Evidence map›Paper›PMID 33152741›Full record

ArticleActa cytologica2021

Cytomorphologic Features of Gastric-Type Endocervical Adenocarcinoma in Liquid-Based Preparations.

Joerg Schwock, Blerta Starova, Zanobia F Khan, Jelena Mirkovic, Carlos Parra-Herran, Hyang Mi Ko, Marjan Rouzbahman, Zeina Ghorab

Open access · hybridAbstract read
In one paragraph

Article in Acta cytologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Cervical Lesion Evaluation in Females of Reproductive Age in Ondo Town, Nigeria.Nigerian medical journal : journal of the Nigeria Medical Association
    Article
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

8 authors at 6 institutions in 2 countries.

Joerg SchwockDivision of Pathology, University Health Network, Toronto, Ontario, Canada, joerg.schwock@uhn.ca.
Blerta StarovaDepartment of Laboratory Medicine, William Osler Health System, Brampton, Ontario, Canada.
Zanobia F KhanDepartment of Pathology, Lakeridge Health, Oshawa, Ontario, Canada.
Jelena MirkovicDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Carlos Parra-HerranDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hyang Mi KoDivision of Pathology, University Health Network, Toronto, Ontario, Canada.
Marjan RouzbahmanDivision of Pathology, University Health Network, Toronto, Ontario, Canada.
Zeina GhorabDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Health Sciences Centre · CAUniversity Health Network · CABrigham and Women's Hospital · USLakeridge Health · CAUniversity of Toronto · CAWilliam Osler Health System · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGastric-type endocervical adenocarcinoma (GAS) is a recently described, uncommon, and aggressive tumor with distinct morphologic features and HPV-independent etiology. Data on GAS in liquid-based cytology (LBC) Papanicolaou (Pap) test preparations from a North American patient population are scant. We systematically assessed the cytomorphologic characteristics of GAS in LBC from patients in Ontario and examined if glandular cell nuclear area could represent a readily assessable feature which may aid in GAS detection. STUDY

designPap test slides preceding the diagnosis of GAS were retrieved locally or requested from outside laboratories. A structured review of 15 cytomorphologic features was performed using the available LBC Pap test slides of GAS and a set of usual-type endocervical adenocarcinomas (UEA). Morphometry of the glandular cell nuclear area was performed, and normalized values were compared to UEA and benign endocervical cells.

resultsAt least 1 Pap test (5 ThinPrep®, 11 SurePath®, and 1 direct smear) was available for 14 patients. Original LBC Pap test diagnoses were negative for intraepithelial lesion or malignancy (NILM) (7), adenocarcinoma/carcinoma (6), atypical glandular cells (2), and adenocarcinoma in situ (1). Review detected abnormal glandular cells in 6/7 NILM cases. Honeycomb-like sheets, nuclear enlargement, and microvesicular cytoplasm were the single most common architectural, nuclear, and cytoplasmic features, respectively. Microvesicular cytoplasm (100 vs. 17%), honeycomb-like sheets (87 vs. 8%), prominent nucleoli (93 vs. 25%), and anisonucleosis (93 vs. 50%) were most discriminatory for GAS versus UEA, respectively. Yellow mucin, intranuclear cytoplasmic pseudoinclusions, and goblet/Paneth-like cells were uncommon, but unique for GAS. Glandular cell nuclear area normalized to neutrophils was found to be significantly increased in GAS compared to benign endocervical cells.

conclusionsGAS is under-recognized and may mimic reactive endocervical cells. Awareness of the tumor type and its cytomorphology is critical for early detection. Identification of glandular cells with uniform nuclear enlargement in conjunction with any of the other cytologic features may help avoid false-negative Pap results. Neutrophils may serve as convenient size reference and visual aid.

Indexed as

AdenocarcinomaAdultAgedCell NucleusCervix UteriEpithelial CellsFemaleHumansMiddle AgedPapanicolaou TestPapillomaviridaeUterine Cervical NeoplasmsVaginal SmearsCervixEndocervical adenocarcinomaGastric typeGynecologic cytologyLiquid-based cytologyMorphometryPapanicolaou test

Identifiers

PMID33152741
PMCPMC7949197
OpenAlexW3095298952

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.