Literature DB >> 33247362

Factors that Influence Treatment Delay for Patients with Breast Cancer.

María Padilla-Ruiz1,2, Irene Zarcos-Pedrinaci3,2, Francisco Rivas-Ruiz1,2, Teresa Téllez2, Susana García-Gutiérrez2,4, Nerea González2,4, Amado Rivero2,5, Cristina Sarasqueta6, Pedro Serrano-Aguilar2,7, Xavier Castells2,8, José María Quintana2,4, María Sala2,8, Maximino Redondo9,10, Xavier Castells2,8, Mercè Comas, Laia Domingo, Francesc Macià, Marta Roman, Anabel Romero, María Sala2,8, Teresa Barata, Isabel Diez de la Lastra, Mariola de la Vega, Marisa Bare, Núria Torà, Joana Ferrer, Francesc Castanyer, Carmen Carmona, Susana García, Maximina Martín, Nerea González2,4, Miren Orive, María Amparo Valverde, Alberto Saez, Inma Barredo, Manuel de Toro, Josefa Ferreiro, Jose María Quintana, Jeanette Pérez, Amado Rivero2,5, Cristina Valcárcel, María Padilla, Maximino Redondo9,10, Teresa Téllez2, Irene Zarcos, Cristina Churruca, Amaia Perales, Javier Recio, Irune Ruiz, Cristina Sarasqueta6, Jose María Urraca, Ma Jesús Michelena, Julio Moreno, Gaizka Mallabiabarrena, Patricia Cobos, Borja Otero, Javier Gorostiaga, Itsaso Troya.   

Abstract

INTRODUCTION: The diagnosis or treatment of breast cancer is sometimes delayed. A lengthy delay may have a negative psychological impact on patients. The aim of our study was to evaluate the sociodemographic, clinical and pathological factors associated with delay in the provision of surgical treatment for localised breast cancer, in a prospective cohort of patients.
METHODS: This observational, prospective, multicentre study was conducted in ten hospitals belonging to the Spanish national public health system, located in four Autonomous Communities (regions). The study included 1236 patients, diagnosed through a screening programme or found to be symptomatic, between April 2013 and May 2015. The study variables analysed included each patient's personal history, care situation, tumour history and data on the surgical intervention, pathological anatomy, hospital admission and follow-up. Treatment delay was defined as more than 30 days elapsed between biopsy and surgery.
RESULTS: Over half of the study population experienced surgical treatment delay. This delay was greater for patients with no formal education and among widows, persons not requiring assistance for usual activities, those experiencing anxiety or depression, those who had a high BMI or an above-average number of comorbidities, those who were symptomatic, who did not receive NMR spectroscopy, who presented a histology other than infiltrating ductal carcinoma or who had poorly differentiated carcinomas.
CONCLUSIONS: Certain sociodemographic and clinical variables are associated with surgical treatment delay. This study identifies factors that influence surgical delays, highlighting the importance of preventing these factors and of raising awareness among the population at risk and among health personnel.

Entities:  

Year:  2020        PMID: 33247362     DOI: 10.1245/s10434-020-09409-2

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  9 in total

1.  Psychological aspects of the cancer patients' education: thoughts, feelings, behavior and body reactions of patients faced with diagnosis of cancer.

Authors:  T Klikovac; A Djurdjevic
Journal:  J BUON       Date:  2010 Jan-Mar       Impact factor: 2.533

2.  Delays in treatment in the cancer services: impact on cancer stage and survival.

Authors:  H Comber; D P Cronin; S Deady; P O Lorcain; P Riordan
Journal:  Ir Med J       Date:  2005-09

3.  Impact of comorbidity on management and mortality in women diagnosed with breast cancer.

Authors:  Anders Berglund; Annette Wigertz; Jan Adolfsson; Johan Ahlgren; Tommy Fornander; Fredrik Wärnberg; Mats Lambe
Journal:  Breast Cancer Res Treat       Date:  2012-07-26       Impact factor: 4.872

4.  Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; B K Edwards; J W Yates
Journal:  JAMA       Date:  2001-02-21       Impact factor: 56.272

5.  Delays in time to treatment and survival impact in breast cancer.

Authors:  Amy Brazda; Jordan Estroff; David Euhus; A Marilyn Leitch; James Huth; Valerie Andrews; Amy Moldrem; Roshni Rao
Journal:  Ann Surg Oncol       Date:  2010-09-19       Impact factor: 5.344

Review 6.  Timing and Delays in Breast Cancer Evaluation and Treatment.

Authors:  Richard J Bleicher
Journal:  Ann Surg Oncol       Date:  2018-07-02       Impact factor: 5.344

7.  Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L).

Authors:  M Herdman; C Gudex; A Lloyd; Mf Janssen; P Kind; D Parkin; G Bonsel; X Badia
Journal:  Qual Life Res       Date:  2011-04-09       Impact factor: 4.147

8.  Health services research in patients with breast cancer (CAMISS-prospective): study protocol for an observational prospective study.

Authors:  Susana García-Gutierrez; Miren Orive; Cristina Sarasqueta; Maria Jose Legarreta; Nerea Gonzalez; Maximino Redondo; Amado Rivero; Pedro Serrano-Aguilar; Xavier Castells; Jose Maria Quintana; Maria Sala
Journal:  BMC Cancer       Date:  2018-01-08       Impact factor: 4.430

9.  Clinical characteristics of different histologic types of breast cancer.

Authors:  C I Li; D J Uribe; J R Daling
Journal:  Br J Cancer       Date:  2005-10-31       Impact factor: 7.640

  9 in total
  1 in total

1.  Morbidity and measures of the diagnostic process in primary care for patients subsequently diagnosed with cancer.

Authors:  Minjoung M Koo; Ruth Swann; Sean McPhail; Gary A Abel; Cristina Renzi; Greg P Rubin; Georgios Lyratzopoulos
Journal:  Fam Pract       Date:  2022-07-19       Impact factor: 2.290

  1 in total

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