Evidence map›Paper›PMID 38177077›Full record

ArticleJNCI cancer spectrum2024

Measuring the impact of COVID-19 on cancer survival using an interrupted time series analysis.

Pascal Lambert, Katie Galloway, Allison Feely, Oliver Bucher, Piotr Czaykowski, Pamela Hebbard, Julian O Kim, Marshall Pitz, Harminder Singh, Maclean Thiessen and 1 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 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

11 authors.

Pascal LambertPaul Albrechtsen Research Institute CancerCare Manitoba, Winnipeg, MB, Canada.
Katie GallowayDepartment of Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, MB, Canada.
Allison FeelyDepartment of Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, MB, Canada.
Oliver BucherDepartment of Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, MB, Canada.
Piotr CzaykowskiDepartment of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Pamela HebbardDepartment of Surgery, Section of General Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Julian O KimPaul Albrechtsen Research Institute CancerCare Manitoba, Winnipeg, MB, Canada.
Marshall PitzPaul Albrechtsen Research Institute CancerCare Manitoba, Winnipeg, MB, Canada.
Harminder SinghPaul Albrechtsen Research Institute CancerCare Manitoba, Winnipeg, MB, Canada.ORCID 0000-0002-9354-2356
Maclean ThiessenDepartment of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Kathleen M DeckerPaul Albrechtsen Research Institute CancerCare Manitoba, Winnipeg, MB, Canada.ORCID 0000-0002-0044-7545

Funding

CancerCare Manitoba Foundation 179890CIHRResearch Manitoba
6 · The paper itself

Abstract

backgroundFew studies have investigated the impact of the COVID-19 pandemic on cancer survival. Those studies that have included pandemic vs prepandemic comparisons can mask differences during different periods of the pandemic such as COVID-19 waves. The objective of this study was to investigate the impact of the COVID-19 pandemic on cancer survival using an interrupted time series analysis and to identify time points during the pandemic when observed survival deviated from expected survival.

methodsA retrospective population-based cohort study that included individuals diagnosed with cancer between January 2015 and September 2021 from Manitoba, Canada, was performed. Interrupted time series analyses with Royston-Parmar models as well as Kaplan-Meier survival estimates and delta restricted mean survival times at 1 year were used to compare survival rates for those diagnosed before and after the pandemic. Analyses were performed for 11 cancer types.

resultsSurvival at 1 year for most cancer types was not statistically different during the pandemic compared with prepandemic except for individuals aged 50-74 years who were diagnosed with lung cancer from April to June 2021 (delta restricted mean survival times = -31.6 days, 95% confidence interval [CI] = -58.3 to -7.2 days).

conclusionsWith the exception of individuals diagnosed with lung cancer, the COVID-19 pandemic did not impact overall 1-year survival in Manitoba. Additional research is needed to examine the impact of the pandemic on long-term cancer survival.

Indexed as

COVID-19Lung NeoplasmsCohort StudiesHumansInterrupted Time Series AnalysisPandemicsRetrospective Studies

Identifiers

PMID38177077
PMCPMC10868396

What OpenQuestion holds

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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.