Evidence map›Paper›PMID 36626169›Full record

ArticleJAMA network open2023

Timeliness and Modality of Treatment for New Cancer Diagnoses During the COVID-19 Pandemic in Canada.

Rui Fu, Rinku Sutradhar, Qing Li, Timothy P Hanna, Kelvin K W Chan, Jonathan C Irish, Natalie Coburn, Julie Hallet, Anna Dare, Simron Singh and 14 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

24 authors.

Rui FuICES, Toronto, Ontario, Canada.
Rinku SutradharICES, Toronto, Ontario, Canada.
Qing LiICES, Toronto, Ontario, Canada.
Timothy P HannaDivision of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, Ontario, Canada.
Kelvin K W ChanInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Jonathan C IrishInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Natalie CoburnICES, Toronto, Ontario, Canada.
Julie HalletICES, Toronto, Ontario, Canada.
Anna DareICES, Toronto, Ontario, Canada.
Simron SinghICES, Toronto, Ontario, Canada.
Ambica ParmarICES, Toronto, Ontario, Canada.
Craig C EarleICES, Toronto, Ontario, Canada.
Lauren Lapointe-ShawICES, Toronto, Ontario, Canada.
Monika K KrzyzanowskaICES, Toronto, Ontario, Canada.
Antonio FinelliICES, Toronto, Ontario, Canada.
Alexander V LouieDepartment of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Nicole J Look HongICES, Toronto, Ontario, Canada.
Ian J WitterickDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Alyson MaharSchool of Nursing, Queen's University, Kingston, Ontario, Canada.
David R UrbachICES, Toronto, Ontario, Canada.
Daniel I McIsaacICES, Toronto, Ontario, Canada.
Danny EnepekidesDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Jill TinmouthICES, Toronto, Ontario, Canada.
Antoine EskanderICES, Toronto, Ontario, Canada.

Funding

CIHR 179892
6 · The paper itself

Abstract

Importance: The impact of COVID-19 on the modality and timeliness of first-line cancer treatment is unclear yet critical to the planning of subsequent care. Objective: To explore the association of the COVID-19 pandemic with modalities of and wait times for first cancer treatment. Design, Setting, and Participants: This retrospective population-based cohort study using administrative data was conducted in Ontario, Canada, among adults newly diagnosed with cancer between January 3, 2016, and November 7, 2020. Participants were followed up from date of diagnosis for 1 year, until death, or until June 26, 2021, whichever occurred first, to ensure a minimum of 6-month follow-up time. Exposures: Receiving a cancer diagnosis in the pandemic vs prepandemic period, using March 15, 2020, the date when elective hospital procedures were halted. Main Outcomes and Measures: The main outcome was a time-to-event variable describing number of days from date of diagnosis to date of receiving first cancer treatment (surgery, chemotherapy, or radiation) or to being censored. For each treatment modality, a multivariable competing-risk regression model was used to assess the association between time to treatment and COVID-19 period. A secondary continuous outcome was defined for patients who were treated 6 months after diagnosis as the waiting time from date of diagnosis to date of treatment. Results: Among 313 499 patients, the mean (SD) age was 66.4 (14.1) years and 153 679 (49.0%) were male patients. Those who were diagnosed during the pandemic were less likely to receive surgery first (subdistribution hazard ratio [sHR], 0.97; 95% CI, 0.95-0.99) but were more likely to receive chemotherapy (sHR, 1.26; 95% CI, 1.23-1.30) or radiotherapy (sHR, 1.16; 95% CI, 1.13-1.20) first. Among patients who received treatment within 6 months from diagnosis (228 755 [73.0%]), their mean (SD) waiting time decreased from 35.1 (37.2) days to 29.5 (33.6) days for surgery, from 43.7 (34.1) days to 38.4 (30.6) days for chemotherapy, and from 55.8 (41.8) days to 49.0 (40.1) days for radiotherapy. Conclusions and Relevance: In this cohort study, the pandemic was significantly associated with greater use of nonsurgical therapy as initial cancer treatment. Wait times were shorter in the pandemic period for those treated within 6 months of diagnosis. Future work needs to examine how these changes may have affected patient outcomes to inform future pandemic guideline development.

Indexed as

COVID-19NeoplasmsAdultAgedCohort StudiesFemaleHumansMaleOntarioPandemicsRetrospective Studies

Identifiers

PMID36626169
PMCPMC9856765

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.