Evidence map›Paper›PMID 33232275›Full record

ReviewAging2020

Clinical challenges in cancer patients with COVID-19: Aging, immunosuppression, and comorbidities.

Lu Wang, Yinan Sun, Ye Yuan, Qi Mei, Xianglin Yuan

Open access · hybridAbstract readReview
In one paragraph

Review in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.9field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Triple Crown: NO, CO, and HPharmacology & therapeutics · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. SARS-CoV2 Infection and Comorbidities, Role in Oncogenesis.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. 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

5 authors at 2 institutions in 1 country.

Lu WangDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yinan SunDepartment of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ye YuanDepartment of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qi MeiDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xianglin YuanDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Huazhong University of Science and Technology · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 caused by severe acute respiratory syndrome coronavirus 2 has developed into a global pandemic. COVID-19 poses a huge threat to health care, and the shortage of medical resources caused by COVID-19 brought serious secondary disasters to elderly cancer patients who are particularly dependent on medical resources. The clinical challenges of cancer management, including aging, immunosuppression, and comorbidities, make cancer patients more vulnerable to COVID-19 with different clinical manifestations, disease severity, and outcomes. The review comprehensively analyzed the characteristics of the cancer patients under the pandemic and concluded that cancer patients were more susceptible to COVID-19, and also concluded that they were more likely to develop poor outcomes and the severe form of the disease. Three basic management strategies have been proposed to protect susceptible elderly cancer patients, find reliable indicators to monitor the course of disease, and implement effective prevention measures.

Indexed as

SARS-CoV-2Age FactorsClinical Decision-MakingComorbidityCOVID-19Disease ManagementDisease SusceptibilityHumansImmunocompromised HostImmunosuppression TherapyNeoplasmsPrognosiscancer patientsCOVID-19management strategies

Identifiers

PMID33232275
PMCPMC7762454
OpenAlexW3106672046

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.