Evidence map›Paper›PMID 41546781›Full record

ArticleCancer causes & control : CCC2026

Paid sick leave and cancer-related outcomes in the U.S. workforce: evidence from a scoping review.

Anna M Morenz, Natalie Valles, Prithvi Yuvaraj, Jim P Stimpson

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Cancer causes & control : CCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anna M MorenzDepartment of Medicine, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724, USA. amorenz@arizona.edu.
Natalie VallesPeter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Prithvi YuvarajArizona State University, Phoenix, AZ, USA.
Jim P StimpsonDepartment of Health Economics, Systems, and Policy, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPaid sick leave policies vary significantly across the United States and are known to influence access to and utilization of health services. However, little is known about how access to paid sick leave affects cancer-related outcomes such as screening, diagnosis, treatment adherence, and survivorship care.

objectiveThis scoping review aimed to systematically map the literature on the association between paid sick leave and cancer-related outcomes among working adults in the United States and to identify gaps to inform future research and policy.

methodsThe following databases were searched: PubMed, Embase, CINAHL, and Scopus. Eligible studies included quantitative research conducted in the U.S. that evaluated paid sick leave in relation to any cancer-related outcome. Study findings were synthesized narratively and thematically, and critical appraisal of included studies was conducted.

resultsA total of 11 studies were included in the review. The majority of studies focused on cancer screening adherence (N = 9/11) and found a positive association between access to paid sick leave (either via self-report or at a state/municipal level) and cancer screening rates for breast, colorectal, and cervical cancers (N = 7/9). Treatment and survivorship outcomes were infrequently analyzed.

conclusionPolicymakers should consider implementing paid sick leave mandates to ensure timely initiation of cancer screening among working adults, a critical priority given rising rates of some early-onset cancers, including colorectal cancer.

Indexed as

NeoplasmsSick LeaveAdultEarly Detection of CancerFemaleHumansUnited StatesCancer outcomesCancer screeningPaid sick leave

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Registered trials

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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.