Evidence map›Paper›PMID 36873133›Full record

ArticleJournal of medicine and life2023

Breast cancer relapses considering molecular biological characteristics.

Ivan Ivanovich Smolanka, Oleksii Volodimirovich Movchan, Irina Yuriivna Bagmut, Michael Ivanovich Sheremet, Igor Leonidovich Kolisnyk, Irina Viktorivna Dosenko, Andriy Oleksandrovich Lyashcnko, Oksana Mykolaivna Ivankova, Anton Dmitrovich Loboda, Oleksandr Viktorovich Shidlovskyi

Abstract read
In one paragraph

Article in Journal of medicine and life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Ivan Ivanovich SmolankaNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Oleksii Volodimirovich MovchanNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Irina Yuriivna BagmutKharkiv Medical Academy of Postgraduate Education, Kharkiv, Ukraine.
Michael Ivanovich SheremetDepartment of Surgery No.1, Bukovinian State Medical University, Chernivtsi, Ukraine.
Igor Leonidovich KolisnykKharkiv Medical Academy of Postgraduate Education, Kharkiv, Ukraine.
Irina Viktorivna DosenkoNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Andriy Oleksandrovich LyashcnkoNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Oksana Mykolaivna IvankovaNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Anton Dmitrovich LobodaNational Cancer Institute, Ministry of Health, Kyiv, Ukraine.
Oleksandr Viktorovich ShidlovskyiDepartment of Surgery, Ivan Horhachevsky Ternopil National Medical University, Ternopil, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to analyze the frequency of breast cancer relapses and their relationship with molecular and biological tumor characteristics. We studied 6,136 breast cancer patients, including 146 with relapses (Group 1) and 455 without relapses (Group 2). We divided the patients based on age, menstrual function, disease stage, histology form and grade, and molecular-biological subtype. The 5-year relapse-free rate for Group 1 was longer for Lum A and TN subtypes (60% and 40%, respectively) but shorter for Lum B and HER-2/neu-amplified subtypes (38% and 31%, respectively). Disease stage, tumor histology, and grade did not significantly affect relapse frequency in these patients. Relapses were more common in premenopausal patients and the Lum B subtype.

Indexed as

Breast NeoplasmsNeoplasm Recurrence, LocalFemaleHumansbreast cancermolecular-biological properties of tumorsrelapserisk factors

Identifiers

PMID36873133
PMCPMC9979183

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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.