Evidence map›Paper›PMID 34257315›Full record

ArticleNPJ breast cancer2021

Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy.

Alberto Carmona-Bayonas, Caterina Calderón, Raquel Hernández, Ana Fernández Montes, Beatriz Castelo, Laura Ciria-Suarez, Mónica Antoñanzas, Jacobo Rogado, Vilma Pacheco-Barcia, Elena Asensio Martínez and 3 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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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

13 authors.

Alberto Carmona-BayonasDepartment of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, University of Murcia, IMIB, Murcia, Spain. alberto.carmonabayonas@gmail.com.ORCID http://orcid.org/0000-0002-1930-9660
Caterina CalderónDepartment of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Barcelona, Barcelona, University of Pais Vasco, Pais Vasco, Spain.
Raquel HernándezDepartment of Medical Oncology, Hospital Universitario de Canarias, Tenerife, Spain.
Ana Fernández MontesDepartment of Medical Oncology, Complejo Hospitalario Universitario de Orense, Orense, Spain.
Beatriz CasteloDepartment of Medical Oncology, Hospital Universitario La Paz, Madrid, Spain.
Laura Ciria-SuarezDepartment of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Barcelona, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1388-6686
Mónica AntoñanzasDepartment of Medical Oncology, Hospital Universitario Clínico San Carlos, Madrid, Spain.ORCID http://orcid.org/0000-0002-7434-9059
Jacobo RogadoDepartment of Medical Oncology, Hospital Universitario Infanta Leonor, Madrid, Spain.
Vilma Pacheco-BarciaDepartment of Medical Oncology, Hospital Central de la Defensa Gomez Ulla, Madrid, Spain.ORCID http://orcid.org/0000-0003-0141-1306
Elena Asensio MartínezDepartment of Medical Oncology, Hospital General Universitario de Elche, Elche, Spain.
Alejandra IvarsDepartment of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, University of Murcia, IMIB, Murcia, Spain.
Francisco Ayala de la PeñaDepartment of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, University of Murcia, IMIB, Murcia, Spain.
Paula Jimenez-FonsecaDepartment of Medical Oncology, Hospital Universitario Central of Asturias, ISPA Oviedo University of Pais Vasco, Pais Vasco, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality of life (QoL) is a complex, ordinal endpoint with multiple conditioning factors. A predictive model of QoL after adjuvant chemotherapy can support decision making or the communication of information about the range of treatment options available. Patients with localized breast cancer (n = 219) were prospectively recruited at 17 centers. Participants completed the EORTC QLQ-C30 questionnaire. The primary aim was to predict health status upon completion of adjuvant chemotherapy adjusted for multiple covariates. We developed a Bayesian model with six covariates (chemotherapy regimen, TNM stage, axillary lymph node dissection, perceived risk of recurrence, age, type of surgery, and baseline EORTC scores). This model allows both prediction and causal inference. The patients with mastectomy reported a discrete decline on all QoL scores. The effect of surgery depended on the interaction with age. Women with ages on either end of the range displayed worse scores, especially with mastectomy. The perceived risk of recurrence had a striking effect on health status. In conclusion, we have developed a predictive model of health status in patients with early breast cancer based on the individual's profile.

Identifiers

PMID34257315
PMCPMC8277774

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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.