Evidence map›Paper›PMID 34826800›Full record

ArticleCancer epidemiology2022

Employment outcomes among cancer patients in the United States.

Roni Nitecki, Benjamin B Albright, Matthew S Johnson, Haley A Moss

Abstract read
In one paragraph

Article in Cancer epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Post-diagnosis unemployment and access to work-related health benefits in survivors of brain cancer compared to other cancers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. Article
  4. Facilitators and barriers to employment for rural women cancer survivors.Journal of cancer survivorship : research and practice · 2023
    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

4 authors.

Roni NiteckiDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Benjamin B AlbrightDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA. Electronic address: Benjamin.albright@duke.edu.
Matthew S JohnsonDuke University Sanford School of Public Policy, Durham, NC, USA.
Haley A MossDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Interdisciplinary Research Careers in Women's HealthK12HD043446 · NICHD · DUKE UNIVERSITY · PI AMUNDSEN, CINDY · 2002 to 2023
$9.6M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA101642NICHD NIH HHS K12 HD043446
6 · The paper itself

Abstract

backgroundCancer diagnosis and treatment can lead to disruptions in employment, which can, in turn, lead to financial problems and uninsurance. We used a nationally representative survey to describe predictors of non-employment among cancer patients compared to a matched cohort of individuals without cancer.

methodsThis was a retrospective study of the 2005-2018 nationally representative Medical Expenditure Panel Survey. We included respondents aged 18-64 and identified the cohort with current cancer by healthcare utilization related to a cancer diagnosis in the given year. We propensity-score matched controls to cancer cases in a 2:1 ratio. Survey weights were applied to generate national estimates of non-employment among the study cohort compared to the overall U.S. POPULATION: The Adjusted Wald test was used to compare employment outcomes between groups. Weighted multivariable linear regression was utilized to assess factors independently associated with non-employment.

resultsAn estimated annual mean of 3.9 million cancer patients in the U.S. were included. Relative to controls, cancer patients had higher rates of part-year (36.0% vs 28.3%, P < 0.0001) and full-year non-employment (22.7% vs 17.5%, P < 0.0001). In a multivariable model, cancer diagnosis was associated with a 6.8% higher risk of part-year non-employment, 4.1% higher risk of full-year non-employment, and 14.8% lower individual earnings relative to the matched U.S. POPULATION: Sub-groups of cancer patients at high risk of negative employment outcomes included those enrolled in Medicaid, those without a high school degree, and those with high healthcare utilization. Low family income was the strongest predictor of non-employment.

conclusionCancer patients were at greater risk of non-employment relative to matched controls and adverse employment outcomes disproportionately affected cancer patients from vulnerable populations.

Indexed as

EmploymentNeoplasmsCohort StudiesHumansIncomeRetrospective StudiesUnited StatesCancer epidemiologyDisparitiesEmploymentGreat recession

Identifiers

PMID34826800
PMCPMC10066711

What OpenQuestion holds

Textmetadata
LicenceTDM
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.