Evidence map›Paper›PMID 23346173›Full record

ArticleJournal of breast cancer2012

The Relationship between Surgery and Phase of the Menstrual Cycle Affects Survival in Breast Cancer.

Ali Imran Kucuk, Can Atalay

Abstract read
In one paragraph

Article in Journal of breast cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Ali Imran KucukDepartment of General Surgery, Ankara Oncology Hospital, Ankara, Turkey.
Can Atalay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe impact of time of surgery based on the menstrual cycle is a controversial issue. Two decades after the first interest in this topic, a number of studies with conflicting results have not helped to resolve this problem. This study aimed to prospectively evaluate the impact of timing of surgery based on the menstrual cycle on survival rates of breast cancer patients, and various clinical and hormonal classifications of the menstrual cycle were compared in order to determine the phase of the menstrual cycle which showed the highest degree of surgical survival.

methodsPremenopausal breast cancer patients treated with curative surgery between 1998 and 2002 were prospectively included in this study. Patients were divided into different groups according to the first day of their last menstrual cycle using three different classifications (clinical, Hrushesky, Badwe), and were also grouped according to their serum hormone levels. Serum levels of follicle stimulating hormone, luteinizing hormone, estrogen, and progesterone were measured on the day of surgery.

resultsNinety patients were included in the study. Median follow-up time was 90 months. Nineteen patients (21.1%) had loco-regional recurrence and/or distant metastases while 12 patients (13.3%) died during follow-up. Five-year (78.6% vs. 90.6%) and 10-year (66.7% vs. 90.6%) disease-free survival (DFS) rates of patients in the clinically defined follicular phase were significantly decreased compared to luteal phase. On the other hand, hormonally determined phases of the menstrual cycle and grouping of patients according to clinical classifications did not show an impact on prognosis.

conclusionIn the current study performing surgery in the follicular phase of the menstrual cycle decreased DFS in premenopausal patients. According to these results, performing surgery during the luteal phase of the menstrual cycle might have a beneficial effect on survival.

Indexed as

Breast neoplasmsMenstrual cycleSurgerySurvival

Identifiers

PMID23346173
PMCPMC3542852

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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.