Evidence map›Paper›PMID 37940922›Full record

ArticleBMC women's health2023

Factors affecting quality of life in women with breast cancer: a path analysis.

Farnaz Faroughi, Azita Fathnezhad-Kazemi, Parvin Sarbakhsh

Abstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

3 authors.

Farnaz FaroughiDepartment of Midwifery, Faculty of Nursing and Midwifery, Maragheh Branch, Islamic Azad University, Maragheh, Iran.
Azita Fathnezhad-KazemiDepartment of Midwifery, Women's Reproductive and Mental Health Research Center, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran. afnkazemi@gmail.com.
Parvin SarbakhshDepartment of Statistics and Epidemiology, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer may negatively affect people's quality of life. We investigated the predictors of quality of life in women with breast cancer with the mediating role of resilience.

methodIn a cross-sectional design, 218 patients completed a survey referring to the Valiasr International Hospital Oncology Center in Tabriz, Iran. Four validated self-report measures assessed HRQoL as measured by the SF-12, Resilience, Hope, and Perceived Social Support (MSPs). The mediating roles of resilience between HRQoL and the fitness of the proposed model were investigated using path analysis. SPSS version 24 software and Lisrel 8.8 software were used for data analysis.

resultsThe results of path analysis showed that the final model had a good fit to the data (Chi-Square/ degrees of freedom (Normed Chi2) = 2.08, RMSEA = 0.014, goodness fit index = 0.99, both comparative fit index = 0.99 both CFI = 0.99 and IFI = 1). In this model, age and psychosocial factors predicted health-related quality of life.

conclusionsAge and psychosocial factors especially social support are important components in predicting health-related quality of life among those suffering from breast cancer.

Indexed as

Breast NeoplasmsQuality of LifeCross-Sectional StudiesFemaleHumansSelf ReportSurveys and QuestionnairesBreast cancerHopeQuality of lifeResilienceSupport

Identifiers

PMID37940922
PMCPMC10634108

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.