Evidence map›Paper›PMID 39480161›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Disparities in Cancer Stage Shifts Associated with the COVID-19 Pandemic in California, 2020 to 2021.

Katarina Wang, Alison J Canchola, Meg McKinley, Alice Guan, Annie Vu, Katherine Lin, Dan Meltzer, Niharika Dixit, Janet N Chu, Dame Idossa and 4 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Katarina WangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-7804-4850
Alison J CancholaDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0009-0004-3709-5557
Meg McKinleyDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0003-1260-9764
Alice GuanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-9075-4230
Annie VuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-9240-9553
Katherine LinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-8948-7630
Dan MeltzerDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-0109-5190
Niharika DixitDivision of Hematology/Oncology, Department of Medicine, University of California San Francisco, San Francisco/Zuckerberg San Francisco General Hospital, San Francisco, California.ORCID 0000-0001-6954-2383
Janet N ChuDivision of General Internal Medicine, University of California San Francisco, San Francisco, California.ORCID 0000-0002-3706-2235
Dame IdossaMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0003-1861-3553
Erin L Van BlariganDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0001-5079-3385
Iona ChengDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0003-4132-2893
Salma Shariff-MarcoDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-2541-3333
Scarlett Lin GomezDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-5143-4867

Funding

NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032I
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic and associated shutdowns disrupted healthcare access and resulted in decreased cancer screenings. Cancer diagnosis delays have concerning downstream effects on late-stage cancer, especially for marginalized populations.

methodsThe study population included 349,458 adults in the California Cancer Registry diagnosed with cancer between January 2019 and December 2021, during which California experienced two stay-at-home orders. We examined the percentage of late-stage (III-IV) cancer diagnoses across five periods: Pre-pandemic (January 2019-February 2020), Shutdown #1 (March-June 2020), Post-shutdown #1 (July-November 2020), Post-shutdown #2 (December 2020-March 2021), and Post-vaccine rollout (April-December 2021). To examine the association between time period and late-stage diagnoses, we conducted a multivariable log-binomial regression model adjusted for sociodemographic and neighborhood factors.

resultsThe percentage of late-stage cancer diagnoses increased during Shutdown #1 (+5.2%) and returned to baseline Post-vaccine rollout. Groups with notably higher increases in the percentage of late-stage cancer (vs. overall population) during Shutdown #1 include Pacific Islander (+13.7%), Thai (+11.2%), Chinese (+8.1%), Native Hawaiian (+7.4%), Filipino (+6.6%), and uninsured (+7.4%). Uninsured [vs. private insurance; prevalence ratio (PR), 1.41], low neighborhood socioeconomic status (nSES; vs. high; PR, 1.19), and racial and ethnic minoritized groups (vs. non-Hispanic White; PR, 1.04-1.19) had higher likelihood for late-stage cancer diagnosis.

conclusionsThe pandemic exacerbated late-stage cancer disparities for racial and ethnic minoritized groups, underinsured, and low nSES communities in California (2020-2021). IMPACT: Interventions to improve cancer screening must be focused on racial and ethnic minoritized, underinsured, and low nSES communities, as they are likely to be more vulnerable to healthcare disruptions like the pandemic.

Indexed as

COVID-19NeoplasmsNeoplasm StagingAdultAgedCaliforniaDelayed DiagnosisEarly Detection of CancerFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaleMiddle AgedPandemicsRegistries

Identifiers

PMID39480161
PMCPMC12724587

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.