Evidence map›Paper›PMID 32415305›Full record

ArticleJapanese journal of clinical oncology2020

When cancer encounters COVID-19 in China: what have we suffered, experienced and learned.

Haiyang Chen, Xuan Wu, Wei Wang, Qiming Wang

Open access · bronzeAbstract read
In one paragraph

Article in Japanese journal of clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Cancer therapy and treatments during COVID-19 era.Advances in biological regulation · 2020
    Review
  8. 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

4 authors at 3 institutions in 1 country.

Haiyang ChenDepartment of Internal Medicine, Henan Cancer Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Xuan WuDepartment of Internal Medicine, Henan Cancer Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Wei WangHenan Medical Association, Zhengzhou, China.
Qiming WangDepartment of Internal Medicine, Henan Cancer Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Henan Cancer Hospital · CNChinese Medical Association · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the coronavirus disease (COVID-19) occurred in Wuhan, China, in December 2019. As of 21 March 2020, this epidemic has spread to 179 countries with more than 200 000 confirmed cases and 8578 deaths. The outbreak has put enormous pressure on the medical establishment and even led to exhaustion of medical resources in the most affected areas. Other medical work has been significantly affected in the context of COVID-19 epidemic. In order to reduce or avoid cross-infection with COVID-19, many hospitals have taken measures to limit the number of outpatient visits and inpatients. For example, emergency surgery can only be guaranteed, and most other surgeries can be postponed. Patients with cancer are one of the groups most affected by the epidemic because of their systematic immunosuppressive state and requirement of frequent admission to hospital. Consequently, specific adjustments for their treatment need to be made to cope with this situation. Therefore, it is of significance to summarize the relevant experience of China in the prevention and control of COVID-19 infection and treatment of patients with cancer during the epidemic.

Indexed as

BetacoronavirusChinaCoronavirus InfectionsCOVID-19Cross InfectionHospitalsHumansInfection ControlNeoplasmsPandemicsPneumonia, ViralPractice Guidelines as TopicSARS-CoV-2cancerCOVID-19diagnosisSARS-CoV-2treatment

Identifiers

PMID32415305
PMCPMC7239118
OpenAlexW3025880737

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.