Evidence map›Paper›PMID 34947828›Full record

ReviewLife (Basel, Switzerland)2021

Colorectal Cancer Screening: Impact of COVID-19 Pandemic and Possible Consequences.

Isabelle Harber, Dania Zeidan, Muhammad N Aslam

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 37 citations in OpenAlex.

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  18. Cancer Patients during COVID-19 Pandemic: A Mini-Review.Healthcare (Basel, Switzerland) · 2023
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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

3 authors at 1 institution in 1 country.

Isabelle HarberDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Dania ZeidanDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Muhammad N AslamDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1361-5357
University of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colonoscopy procedure has been the key screening method to detect colorectal cancer (CRC). As a fatal disease, CRC needs early detection. The COVID-19 pandemic caused screening tests (colonoscopy) to be halted and delayed. As a result, there could be dire consequences such as later-stage or missed diagnosis or greater mortality. This report will analyze scientific literature pertaining to interrupted CRC screenings due to COVID-19 while drawing historical parallels from the 1918 flu pandemic. We conducted literature searches in the PubMed database as well as in Google Scholar. One of the main lessons learned from the 1918 flu pandemic was to employ social distancing to stop the spread of the virus. So, the global response at the start and peak of the COVID-19 pandemic was decreased hospital visits for any non-emergency cases. That led to a halt and delays in cancer (including CRC) screenings. The Medical community predicted this lag will cause more CRC cases and deaths in the future. However, reorganizing and changing screening method strategies were helpful during the ongoing pandemic. In conclusion, COVID-19 greatly affected CRC screening, including how we view the future of CRC screening. We can learn from this prospect to better prepare for future pandemics or other public health crises.

Indexed as

colorectal cancerCOVID-19CRC screeningpandemicSpanish flu

Identifiers

PMID34947828
PMCPMC8707125
OpenAlexW3215754308

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.