Evidence map›Paper›PMID 28331734›Full record

ArticleThe journal of breast health2016

The Treatment Approach and Social Support Needs for Patients with Breast Cancer.

Pınar Soylar, Metin F Genç

Abstract read
In one paragraph

Article in The journal of breast health, 2016. 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

2 authors.

Pınar SoylarDepartment of Public Health, İnönü University School of Medicine, Malatya, Turkey.
Metin F GençDepartment of Public Health, İnönü University School of Medicine, Malatya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer is the most common type of cancer in women both in developed and developing countries. It has a higher mortality rate in low and middle income countries due to the late-stage diagnosis. The principal aim of this study was to investigate what patients with breast cancer did before presenting to Turgut Özal Medical Center and its relationship with late stage diagnosis. The study also aimed to identify the level of patients' perceived social support. MATERIALS AND

methodsThe study included 200 patients with breast cancer who were treated at the chemotherapy unit during 2013 and 2014.

resultsThe mean age of the patients was 51.16±1.10 years and 60% of the women were graduates of elemantary school. The majority of patients (69.5%) noticed breast mass as the first symptom and 56.5% were diagnosed at later stages. Thirty-four percent of the patients delayed their visit to a health care centers after realizing the first symptom. No statistically significant relationship was determined between women's education level, residential area, age, the first symptom noticed, stages of tumor, and patients and system-related delay (p>0.05). In terms of family history of breast cancer, there was a significant difference between patient-related and system-related delays (p<0.05). The family support score (24.8±4.6) was higher than those of friends and husbands (23.8±5.5, 21.3±6.4, respectively). The husband support score was statistically different in terms of intimacy between women and their husbands after disease (p<0.001).

conclusionIt can be concluded that overcoming barriers related to patients and the system will lead to early-stage diagnosis, which in turn will result in higher survival rates of patients with breast cancer. As awareness and knowledge level of women about cancer increases, they will visit health care centers earlier where they can receive more comprehensive treatment.

Indexed as

Breast cancerearly diagnosis of cancerpatient preferencesocial supporttreatment

Identifiers

PMID28331734
PMCPMC5351501

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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.