Evidence map›Paper›PMID 33373838›Full record

ReviewLung cancer (Amsterdam, Netherlands)2021

Cancer treatment in the coronavirus disease pandemic.

Jia-Tao Zhang, Wen-Zhao Zhong, Yi-Long Wu

Open access · bronzeAbstract readReview
In one paragraph

Review in Lung cancer (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Health influence of SARS-CoV-2 (COVID-19) on cancer: a review.Acta biochimica et biophysica Sinica · 2022
    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

3 authors at 2 institutions in 1 country.

Jia-Tao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, South China University of Technology & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, 510080, China.
Wen-Zhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, South China University of Technology & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, 510080, China.
Yi-Long WuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, South China University of Technology & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, 510080, China. Electronic address: syylwu@live.cn.
Guangdong Provincial People's Hospital · CNGuangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Half a year after its emergence, severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has resulted in a pandemic, with cases continuing to increase in nearly every country. Surges in coronavirus disease of 2019 (COVID-19) cases have clearly had profound effects on current cancer treatment paradigms. Considering the effect of antineoplastic treatment and the immunosuppressive properties of cancer itself, cancer patients are deemed to be more vulnerable to SARS-CoV-2. Hence, the specific risk of SARS-CoV-2 must be carefully weighed against the benefit of antineoplastic treatment for cancer patients in the COVID-19 era. In this review, we discuss the current evidence in this important field, and in particular, the effect of SARS-CoV-2 on antineoplastic treatment.

Indexed as

COVID-19Antineoplastic AgentsFemaleHumansMaleNeoplasmsPrevalenceSARS-CoV-2Antineoplastic AgentsAntineoplastic treatmentCancerCOVID-19Mortality

Identifiers

PMID33373838
PMCPMC7832712
OpenAlexW3112827735

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.