Evidence map›Paper›PMID 33446165›Full record

ArticleBMC public health2021

Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors: a cross-sectional study.

Kiyomi Mitsui, Motoki Endo, Yuya Imai, Yuito Ueda, Hiroko Ogawa, Go Muto, Yan Yan, Gautam A Deshpande, Yasuhisa Terao, Satoru Takeda and 5 more

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In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Observational
  7. Article
  8. 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

15 authors.

Kiyomi MitsuiDepartment of Hygiene, Public Health, and Preventive Medicine, Showa University, Tokyo, Japan.
Motoki EndoDepartment of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan. phdmotokiendo@gmail.com.ORCID 0000-0002-1025-4202
Yuya ImaiDepartment of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan.
Yuito UedaDepartment of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan.
Hiroko OgawaDepartment of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan.
Go MutoDepartment of Hygiene, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Yan YanDepartment of Palliative Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Gautam A DeshpandeDepartment of General Medicine Juntendo University, Tokyo, Japan.
Yasuhisa TeraoDepartment of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Satoru TakedaDepartment of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Takeshi TanigawaDepartment of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan.
Katsuji NishimuraDepartment of Psychiatry, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
Kazuhiko HayashiDepartment of Chemotherapy and Palliative Care, Tokyo Women's Medical University Hospital, Tokyo, Japan.
Mitsue SaitoDepartment of Breast Oncology, Juntendo University School of Medicine, Tokyo, Japan.
Akatsuki KokazeDepartment of Hygiene, Public Health, and Preventive Medicine, Showa University, Tokyo, Japan.

Funding

Ministry of Health, Labour and Welfare Gan-taisaku-ippan-012
6 · The paper itself

Abstract

backgroundIn Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.

methodsA web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18-69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model.

resultsIn total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233-11.729), taking SL (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007-68.621).

conclusionsIn total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

Indexed as

Breast NeoplasmsCancer SurvivorsAdolescentAdultAgedCross-Sectional StudiesFemaleHumansJapanMiddle AgedRetrospective StudiesSick LeaveYoung AdultBreast cancer survivorsResignationReturn to workSick leave

Identifiers

PMID33446165
PMCPMC7809813

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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.