Evidence map›Paper›PMID 32850443›Full record

ArticleFrontiers in oncology2020

Special Issues Encountered When Cancer Patients Confront COVID-19.

Lina Qi, Kailai Wang, Chenyang Ye, Shu Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The Impact of COVID-19 on Breast Surgery Fellowships.Current breast cancer reports · 2021
    Review
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

4 authors at 1 institution in 1 country.

Lina QiSchool of Medicine, Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Kailai WangSchool of Medicine, Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Chenyang YeSchool of Medicine, Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Shu ZhengSchool of Medicine, Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the COVID-19 global pandemic, there has been insufficient evidence and experience to help oncologists understand how to deal with infected and non-infected cancer patients. Many hospitals worldwide have shared their experiences of managing such patients by using the internet to reach non-infected cancer patients. However, for infected or suspected infected cancer patients, their experiences in terms COVID-19 diagnosis, anticancer treatment and prognosis are largely unknown and controversial. Here, we summarize the incidence, severe illness rate and mortality according to the published clinical data of COVID-19 in cancer patients and discuss the diagnostic difficulties, anticancer treatment and prognosis of COVID-19-infected cancer patients.

Indexed as

anticancer treatmentcancerCOVID-19diagnosisprognosis

Identifiers

PMID32850443
PMCPMC7426396
OpenAlexW3046975024

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.