Evidence map›Paper›PMID 38629238›Full record

ArticleCancer medicine2024

Identifying predictors of COVID-related delays in cancer-specific medical care.

Breanna B Greteman, Natalie J Del Vecchio, Crystal J Garcia-Auguste, Amanda R Kahl, Brian M Gryzlak, Elizabeth A Chrischilles, Mary E Charlton, Sarah H Nash

Abstract read
In one paragraph

Article in Cancer medicine, 2024. 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

8 authors.

Breanna B GretemanDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.ORCID 0000-0001-7717-7048
Natalie J Del VecchioFred Hutchinson Cancer Center, Seattle, Washington, USA.
Crystal J Garcia-AugusteDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Amanda R KahlIowa Cancer Registry, University of Iowa, Iowa City, Iowa, USA.
Brian M GryzlakDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Elizabeth A ChrischillesDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Mary E CharltonDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Sarah H NashDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.ORCID 0000-0002-9038-6001

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Jon C.D. Houtman · 2000 to 2026
$70.0M
NCI NIH HHS COVID-19 Supplement Grant 3P30CA086862-19S5NCI NIH HHS HHSN261201800012I/HHSN26100001/3P30CA086862NCI NIH HHS P30 CA086862
6 · The paper itself

Abstract

purposeEvidence of the impact of the COVID-19 pandemic on cancer prevention and control is growing, but little is known about patient-level factors associated with delayed care. We analyzed data from a survey focused on Iowan cancer patients' COVID-19 experiences in the early part of the pandemic.

methodsParticipants were recruited from the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden (PERCH) program. We surveyed respondents on demographic characteristics, COVID-19 experiences and reactions, and delays in any cancer-related health care appointment, or cancer-related treatment appointments. Two-sided significance tests assessed differences in COVID-19 experiences and reactions between those who experienced delays and those who did not.

resultsThere were 780 respondents (26% response), with breast, prostate, kidney, skin, and colorectal cancers representing the majority of respondents. Delays in cancer care were reported by 29% of respondents. In multivariable-adjusted models, rural residents (OR 1.47; 95% CI 1.03, 2.11) and those experiencing feelings of isolation (OR 2.18; 95% CI 1.37, 3.47) were more likely to report any delay, where experiencing financial difficulties predicted delays in treatment appointments (OR 5.72; 95% CI 1.96, 16.67). Health insurance coverage and concern about the pandemic were not statistically significantly associated with delays.

conclusionThese findings may inform cancer care delivery during periods of instability when treatment may be disrupted by informing clinicians about concerns that patients have during the treatment process. Future research should assess whether delays in cancer care impact long-term cancer outcomes and whether delays exacerbate existing disparities in cancer outcomes.

Indexed as

COVID-19Delayed DiagnosisHealth Services AccessibilityNeoplasmsAdolescentAdultAgedAged, 80 and overDelivery of Health CareFemaleHumansIowaMaleMiddle AgedPandemicsTime-to-Treatmentbehavioral sciencecancer managementclinical observationsepidemiology

Identifiers

PMID38629238
PMCPMC11022144

What OpenQuestion holds

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LicenceCC BY
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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.