Evidence map›Paper›PMID 29551094›Full record

ArticleBMC women's health2018

Relationships between determinants of adjuvant endocrine therapy adherence in breast cancer.

Joo Yun Lee, Yul Ha Min

Abstract read
In one paragraph

Article in BMC women's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Joo Yun LeeCollege of Nursing, Gachon University, 191 Hambakmeo-ro, Yeonsu-gu, Incheon, 21936, South Korea.
Yul Ha MinCollege of Nursing, Gachon University, 191 Hambakmeo-ro, Yeonsu-gu, Incheon, 21936, South Korea. yulhamin@gmail.com.ORCID 0000-0002-1657-8582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterventions that promote adjuvant endocrine therapy (AET) adherence are critical to improve breast cancer survival. The development of interventions would benefit from a better understanding of the reasons for adherence and the causal relationships of determinants using theoretical or model approaches. The aim of the present study was to identify reasons for AET adherence in breast cancer patients with sequential relationships and inter-relationships.

methodsA total of 210 participants with estrogen receptor positive breast cancer who received AET completed a questionnaire assessing demographic/medical, psychological, and endocrine therapy (ET)-specific factors. A descriptive analysis was performed to identify meaningful variables. Selected variables were subjected to hierarchical regression and path analyses. The path model was tested and modified based on the research framework and the results of regression weights and model fit.

resultsAnalysis of sequential effects showed that ET-specific factors contributed the largest proportion of variance (13.4%) to predict AET adherence, followed by psychological factors (4.6%) and demographic/medical factors (3.1%). Analysis of inter-relationships showed that demographic/medical factors such as AET regimen type and cancer stage have direct effects on AET adherence, whereas psychological factors contribute indirectly through the mediating effects of ET-specific factors.

conclusionAssessments and interventions that encompass the patient's medication beliefs, self-efficacy, and depression are needed to promote AET adherence.

Indexed as

AdultAgedAntineoplastic Agents, HormonalBreast NeoplasmsChemotherapy, AdjuvantDepressionFemaleHumansMedication AdherenceMiddle AgedNeoplasm InvasivenessNeoplasm StagingSelf EfficacySurveys and QuestionnairesAntineoplastic Agents, HormonalBreast cancerHormone therapyMedication adherencePredisposing factor

Identifiers

PMID29551094
PMCPMC5858147

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.