Evidence map›Paper›PMID 34340680›Full record

ArticleBMC cancer2021

Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery.

Raymond Javan Chan, Bruce Cooper, Louisa Gordon, Nicolas Hart, Chia Jie Tan, Bogda Koczwara, Kord M Kober, Alexandre Chan, Yvette P Conley, Steven M Paul and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Prognostic factors for return to work in breast cancer survivors.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Article
  3. Article
  4. Future research in cancer survivorship.Journal of cancer survivorship : research and practice · 2021
    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

11 authors at 6 institutions in 3 countries.

Raymond Javan ChanSchool of Nursing, Queensland University of Technology, Kelvin Grove, Australia.
Bruce CooperDepartment of Physiological Nursing, School of Nursing, University of California, San Francisco, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Louisa GordonSchool of Nursing, Queensland University of Technology, Kelvin Grove, Australia.
Nicolas HartSchool of Nursing, Queensland University of Technology, Kelvin Grove, Australia.
Chia Jie TanDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore.
Bogda KoczwaraFlinders Centre for Innovation in Cancer, Flinders Medical Centre and Flinders University, Bedford Park, Australia.
Kord M KoberDepartment of Physiological Nursing, School of Nursing, University of California, San Francisco, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Alexandre ChanDepartment of Clinical Pharmacy Practice, University of California, Irvine, CA, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Steven M PaulDepartment of Physiological Nursing, School of Nursing, University of California, San Francisco, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Christine MiaskowskiDepartment of Physiological Nursing, School of Nursing, University of California, San Francisco, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA. vchris.miaskowski@ucsf.edu.
University of California, San Francisco · USQueensland University of Technology · AUFlinders Medical Centre · AUNational Cancer Centre Singapore · SGUniversity of California, Irvine · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify subgroups of female breast cancer patients with distinct self-reported employment interference (EI) profiles and determine which demographic, clinical, and symptom characteristics, and quality of life outcomes were associated with subgroup membership.

methodsWomen with breast cancer (n = 385) were assessed for changes in EI over ten times, from prior to, through 12 months after breast cancer surgery. Latent profile analysis (LPA) was used to identify subgroups of patients with distinct EI profiles.

resultsThree distinct EI profiles (i.e., None - 26.2% (n = 101), Low - 42.6% (n = 164), High - 31.2% (n = 120)) were identified. Compared to the None and Low groups, patients in the High group were more likely to be younger. Higher proportions in the High group were non-White, pre-menopausal prior to surgery, had more advanced stage disease, had received an axillary lymph node dissection, had received neoadjuvant chemotherapy, had received adjuvant chemotherapy, and had a re-excision or mastectomy on the affected breast within 6 months after surgery. In addition, these patients had lower quality of life scores. Compared to the None group, the High group had higher levels of trait and state anxiety, depressive symptoms, fatigue and sleep disturbance and lower levels of cognitive function.

conclusionsThis study provides new knowledge regarding EI profiles among women in the year following breast cancer surgery. The non-modifiable risk factors (e.g., younger age, being non-White, having more advanced stage disease) can inform current screening procedures. The potentially modifiable risk factors can be used to develop interventions to improve employment outcomes of breast cancer patients.

Indexed as

Quality of LifeAgedAnxiety DisordersBreast NeoplasmsEmploymentFemaleHumansMastectomyMiddle AgedPostoperative PeriodPublic Health SurveillanceSelf ReportTime FactorsEmployment interferenceFatigueFemale breast cancerPatient-reported outcomesQuality of lifeSleep disturbance

Identifiers

PMID34340680
PMCPMC8327049
OpenAlexW3188883845

What OpenQuestion 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 OpenQuestion graph.