{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:28Z","timestamp":1755907648862,"version":"3.44.0"},"reference-count":41,"publisher":"FapUNIFESP (SciELO)","issue":"8","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"CAPES","doi-asserted-by":"crossref","award":["001"],"award-info":[{"award-number":["001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cad. Sa\u00fade P\u00fablica"],"abstract":"<jats:p>Abstract: Cancer is a global public health concern due to its high mortality rates. In Brazil, breast cancer is one of the leading causes of disease and death among women in all regions of the country, with higher mortality rates in less developed regions. Hence, this study analyzes variables associated with survival time in breast cancer patients in Campina Grande, Para\u00edba State, Brazil. Distributional regression models, also known as generalized additive models for location, scale, and shape (GAMLSS), were used due to their flexibility in explaining complex behaviors of a given response (for example, survival time) based on other variables. Tumor site, age, number of hormone therapy, radiotherapy and chemotherapy sessions, and molecular markers such as estrogen receptor, progesterone receptor, Ki-67 protein, p53, HER2 mutation and molecular subtype were examined. Two different GAMLSS were fitted considering Weibull and log-normal distributions, the former of which is more appropriate per the Akaike information criterion. Using a variable selection procedure specific to GAMLSS, we identified four covariates that directly affect average survival time: number of hormone therapy and chemotherapy sessions, p53 status, and estrogen receptor status. Excepting estrogen receptor status, the other covariates selected to explain average survival time were also used to explicitly explain the variability of these times.<\/jats:p>","DOI":"10.1590\/0102-311xen073324","type":"journal-article","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:02:53Z","timestamp":1755874973000},"source":"Crossref","is-referenced-by-count":0,"title":["Survival time analysis in women with breast cancer using distributional regression models"],"prefix":"10.1590","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9955-4465","authenticated-orcid":false,"given":"Isabela da Silva","family":"Lima","sequence":"first","affiliation":[{"name":"Universidade Federal de Lavras,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5981-4266","authenticated-orcid":false,"given":"S\u00f3stenes Jer\u00f4nimo da","family":"Silva","sequence":"additional","affiliation":[{"name":"Universidade Federal Rural de Pernambuco,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7822-3744","authenticated-orcid":false,"given":"Carla Regina Guimar\u00e3es","family":"Brighenti","sequence":"additional","affiliation":[{"name":"Universidade Federal de S\u00e3o Jo\u00e3o del-Rei,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7312-2717","authenticated-orcid":false,"given":"Luiz Ricardo","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Universidade Federal de Lavras,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4147-7721","authenticated-orcid":false,"given":"Tiago Almeida de","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Universidade Estadual da Para\u00edba,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2266-5890","authenticated-orcid":false,"given":"Milena Edite Cas\u00e9 de","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Centro Universit\u00e1rio Tabosa de Almeida,  Brasil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1972-7045","authenticated-orcid":false,"given":"Thiago Gentil","family":"Ramires","sequence":"additional","affiliation":[{"name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"530","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","first-page":"229","article-title":"Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.","volume":"74","author":"Bray F","year":"2024","journal-title":"CA Cancer J 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