Evidence map›Paper›PMID 38946448›Full record

Observational studyEuropean journal of public health2024

Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study.

Francisco Estupiñán-Romero, Santiago Royo-Sierra, Javier González-Galindo, Natalia Martínez-Lizaga, Petronille Bogaert, Nienke Schutte, Liesbet Van Eycken, Nancy Van Damme, Kris Henau, Ronan A Lyons and 8 more

Abstract readObservational Study
In one paragraph

Observational study in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Francisco Estupiñán-RomeroData Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.ORCID 0000-0002-6285-8120
Santiago Royo-SierraData Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
Javier González-GalindoData Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
Natalia Martínez-LizagaData Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.ORCID 0000-0002-9586-7955
Petronille BogaertSciensano, Brussels, Belgium.ORCID 0000-0002-6983-9571
Nienke SchutteSciensano, Brussels, Belgium.ORCID 0000-0002-8064-2569
Liesbet Van EyckenBelgian Cancer Registry, Brussels, Belgium.
Nancy Van DammeBelgian Cancer Registry, Brussels, Belgium.
Kris HenauBelgian Cancer Registry, Brussels, Belgium.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University (SU), Swansea, United Kingdom.
Sarah J AldridgePopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University (SU), Swansea, United Kingdom.
Andrea FaragalliCenter of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.ORCID 0000-0003-4414-4789
Flavia CarleCenter of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.
Rosaria GesuitaCenter of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.
Luigi PalmieriDepartment of Cardiovascular and Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Italy.ORCID 0000-0002-4298-2642
Jānis MisiņšDepartment of Research and Health Statistics, Centre for Disease Prevention and Control (CDPC), Riga, Latvia.
Martin ThiβenDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-5710-5650
Enrique Bernal-DelgadoData Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.ORCID 0000-0002-0961-3298

Funding

European Union's Horizon 2020 research and innovation programme 101018317
6 · The paper itself

Abstract

backgroundThe indirect impact of the coronavirus disease 2019 pandemic on healthcare services was studied by assessing changes in the trend of the time to first treatment for women 18 or older who were diagnosed and treated for breast cancer between 2017 and 2021.

methodsAn observational retrospective longitudinal study based on aggregated data from four European Union (EU) countries/regions investigating the time it took to receive breast cancer treatment. We compiled outputs from a federated analysis to detect structural breakpoints, confirming the empirical breakpoints by differences between the trends observed and forecasted after March 2020. Finally, we built several segmented regressions to explore the association of contextual factors with the observed changes in treatment delays.

resultsWe observed empirical structural breakpoints on the monthly median time to surgery trend in Aragon (ranging from 9.20 to 17.38 days), Marche (from 37.17 to 42.04 days) and Wales (from 28.67 to 35.08 days). On the contrary, no empirical structural breakpoints were observed in Belgium (ranging from 21.25 to 23.95 days) after the pandemic's beginning. Furthermore, we confirmed statistically significant differences between the observed trend and the forecasts for Aragon and Wales. Finally, we found the interaction between the region and the pandemic's start (before/after March 2020) significantly associated with the trend of delayed breast cancer treatment at the population level.

conclusionsAlthough they were not clinically relevant, only Aragon and Wales showed significant differences with expected delays after March 2020. However, experiences differed between countries/regions, pointing to structural factors other than the pandemic.

Indexed as

Breast NeoplasmsCOVID-19SARS-CoV-2Time-to-TreatmentAdultAgedEuropean UnionFemaleHumansLongitudinal StudiesMiddle AgedPandemicsPopulation HealthRetrospective StudiesTreatment Delay

Identifiers

PMID38946448
PMCPMC11215325

What OpenQuestion holds

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LicenceCC BY
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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.