Evidence map›Paper›PMID 32439716›Full record

GuidelineESMO open2020

ESMO Management and treatment adapted recommendations in the COVID-19 era: Breast Cancer.

Evandro de Azambuja, Dario Trapani, Sibylle Loibl, Suzette Delaloge, Elzbieta Senkus, Carmen Criscitiello, Philip Poortman, Michael Gnant, Serena Di Cosimo, Javier Cortes and 3 more

Abstract readPractice GuidelineReview
In one paragraph

Guideline in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 4 pooled it
–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

116 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Managing cancer patients during the COVID-19 pandemic: an ESMO multidisciplinary expert consensus.Annals of oncology : official journal of the European Society for Medical Oncology · 2020
    Guideline
  4. Guideline
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

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

13 authors.

Evandro de Azambuja *Institut Jules Bordet and l'Université Libre de Bruxelles (U.LB), Brussels, Belgium.ORCID 0000-0001-9501-4509
Dario Trapani *European Institute of Oncology (IEO) IRCCS, Milan, Italy.
Sibylle LoiblGBG Forschungs GmbH, Neu-Isenburg, Germany.
Suzette DelalogeOncology, Gustave Roussy and Paris-Saclay University, Villejuif, Île-de-France, France.
Elzbieta SenkusDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland.
Carmen CriscitielloEuropean Institute of Oncology IRCCS, Milan, Italy.
Philip PoortmanIridium Kankernetwerk and University of Antwerp, Antwerp, Belgium.
Michael GnantComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Serena Di CosimoFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Javier CortesIOB, Institute of Oncology, Quiron Group (Madrid & Barcelona); Vall d'Hebron institute of Oncology (VHIO) (Barcelona), Barcelona, Madrid, Spain.
Fatima CardosoBreast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal.
Shani Paluch-ShimonDivision of Oncology, Shaare Zedek Medical Centre, Jerusalem, Jerusalem, Israel.ORCID 0000-0002-6677-2199
Giuseppe CuriglianoDepartment of Oncology and Hemato-Oncology, University of Milano and European Institute of Oncology, IRCCS, Milano, Italy giuseppe.curigliano@ieo.it.ORCID 0000-0003-1781-2518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global preparedness and response to the rapid escalation to severe acute respiratory syndrome coronavirus (SARS-CoV)-2-related disease (COVID-19) to a pandemic proportion has demanded the formulation of a reliable, useful and evidence-based mechanism for health services prioritisation, to achieve the highest quality standards of care to all patients. The prioritisation of high value cancer interventions must be embedded in the agenda for the pandemic response, ensuring that no inconsistency or discrepancy emerge in the health planning processes.The aim of this work is to organise health interventions for breast cancer management and research in a tiered framework (high, medium, low value), formulating a scheme of prioritisation per clinical cogency and intrinsic value or magnitude of benefit. The public health tools and schemes for priority setting in oncology have been used as models, aspiring to capture clinical urgency, value in healthcare, community goals and fairness, while respecting the principles of benevolence, non-maleficence, autonomy and justice.We discuss the priority health interventions across the cancer continuum, giving a perspective on the role and meaning to maintain some services (undeferrable) while temporarily abrogate some others (deferrable). Considerations for implementation and the essential link to pre-existing health services, especially primary healthcare, are addressed, outlining a framework for the development of effective and functional services, such as telemedicine.The discussion covers the theme of health systems strategising, and why oncology care, in particular breast cancer care, should be maintained in parallel to pandemic control measures, providing a pragmatic clinical model within the broader context of public healthcare schemes.

Indexed as

BetacoronavirusPandemicsBreast NeoplasmsCoronavirus InfectionsCOVID-19FemaleHealth PrioritiesHumansPneumonia, ViralPublic HealthRadiation OncologySARS-CoV-2Surgical OncologyTelemedicinebreast cancerCOVID-19ESMO adapted recommendations

Identifiers

PMID32439716
PMCPMC7295852

What OpenQuestion holds

Textmetadata
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.