Evidence map›Paper›PMID 35622263›Full record

ReviewCurrent oncology reports2022

Oncology During the COVID-19 Pandemic: a Lockdown Perspective.

Danielle Boniface, Gonzalo Tapia-Rico

Open access · hybridAbstract readReview
In one paragraph

Review in Current oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Enduring Effects of COVID for Cancer Care: Learning from Real-Life Clinical Practice.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    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

2 authors at 2 institutions in 1 country.

Danielle BonifaceSchool of Medicine, University of Adelaide, Adelaide, South Australia, Australia. danielle.boniface@student.adelaide.edu.au.ORCID 0000-0001-7271-4967
Gonzalo Tapia-RicoSchool of Medicine, University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-6455-9634
Centre for Cancer Biology · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose for reviewThis perspective piece aims to understand the impacts of the COVID-19 pandemic on the field of oncology, exploring the factors provoking a fall in cancer diagnostic rates, interruption of cancer screening programmes, disruption of oncological treatment and adjuvant care, and the necessary adaption oncological practice has undergone (and will be required to undergo) post-pandemic, including the shift to digital consultations. RECENT

findingsDuring the COVID-19 pandemic, the field of oncological research has faced significant challenges. Yet, innovation has prevailed with new developments being made across the globe. Looking to the future of oncology, this piece will also suggest potential solutions to overcome the late-stage ramifications of the COVID-19 pandemic. The COVID-19 pandemic has triggered a global health crisis, the ramifications of which have reached every corner of the world and overwhelmed already overburdened healthcare systems. However, we are still yet to see the full domino effect of the pandemic as it continues to reveal and exacerbate pre-existing weaknesses in healthcare systems across the world.

Indexed as

COVID-19Medical OncologyPandemicsCommunicable Disease ControlHumansNeoplasmsCancerCOVID-19OncologyPandemicSARS-Cov-2

Identifiers

PMID35622263
PMCPMC9136209
OpenAlexW4281940428

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.