Evidence map›Paper›PMID 35686727›Full record

ArticleeLife2022

Impact of the COVID-19 pandemic on breast cancer screening indicators in a Spanish population-based program: a cohort study.

Guillermo Bosch, Margarita Posso, Javier Louro, Marta Roman, Miquel Porta, Xavier Castells, Francesc Macià

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 11% of its field
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, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. SEOM-GEICAM-SOLTI clinical guidelines for early-stage breast cancer (UPDATE 2025).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Guideline
  2. Pooled it
  3. Pooled it
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  6. Review
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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

7 authors at 2 institutions in 2 countries.

Guillermo BoschDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.ORCID 0000-0001-5862-0913
Margarita PossoDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.ORCID 0000-0002-5053-257X
Javier LouroDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Marta RomanDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Miquel PortaUniversitat Autònoma de Barcelona, Barcelona, Spain.
Xavier CastellsDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Francesc MaciàDepartment of Epidemiology and Evaluation,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Hospital Del Mar · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To assess the effect of the COVID-19 pandemic on performance indicators in the population-based breast cancer screening program of Parc de Salut Mar (PSMAR), Barcelona, Spain. Methods: We conducted a before-and-after, study to evaluate participation, recall, false positives, the cancer detection rate, and cancer characteristics in our screening population from March 2020 to March 2021 compared with the four previous rounds (2012-2019). Using multilevel logistic regression models, we estimated the adjusted odds ratios (aORs) of each of the performance indicators for the COVID-19 period, controlling by type of screening (prevalent or incident), socioeconomic index, family history of breast cancer, and menopausal status. We analyzed 144,779 invitations from 47,571women. Results: During the COVID-19 period, the odds of participation were lower in first-time invitees (aOR = 0.90 [95% CI = 0.84-0.96]) and in those who had previously participated regularly and irregularly (aOR = 0.63 [95% CI = 0.59-0.67] and aOR = 0.95 [95% CI = 0.86-1.05], respectively). Participation showed a modest increase in women not attending any of the previous rounds (aOR = 1.10 [95% CI = 1.01-1.20]). The recall rate decreased in both prevalent and incident screening (aOR = 0.74 [95% CI = 0.56-0.99] and aOR = 0.80 [95% CI = 0.68-0.95], respectively). False positives also decreased in both groups (prevalent aOR = 0.92 [95% CI = 0.66-1.28] and incident aOR = 0.72 [95% CI = 0.59-0.88]). No significant differences were observed in compliance with recall (OR = 1.26, 95% CI = 0.76-2.23), cancer detection rate (aOR = 0.91 [95% CI = 0.69-1.18]), or cancer stages. Conclusions: The COVID-19 pandemic negatively affected screening attendance, especially in previous participants and newcomers. We found a reduction in recall and false positives and no marked differences in cancer detection, indicating the robustness of the program. There is a need for further evaluations of interval cancers and potential diagnostic delays. Funding: This study has received funding by grants PI19/00007 and PI21/00058, funded by Instituto de Salud Carlos III (ISCIII) and cofunded by the European Union and Grant RD21/0016/0020 funded by Instituto de Salud Carlos III and by the European Union NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia (MRR).

Indexed as

Breast NeoplasmsCOVID-19Cohort StudiesEarly Detection of CancerFemaleHumansMammographyPandemicsbreast neoplasmCOVID-19early detection of cancerepidemiologyglobal healthhumannonrandomized controlled trialsquality indicators

Identifiers

PMID35686727
PMCPMC9212994
OpenAlexW4282921503

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.