Evidence map›Paper›PMID 33547886›Full record

SynthesisCancer medicine2021

Effect of antitumor therapy on cancer patients infected by SARS-CoV-2: A systematic review and meta-analysis.

Piao Li, Lingling Li, Shennan Wang, Yu Liu, Zhou Li, Shu Xia

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 30% 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, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

6 authors at 2 institutions in 1 country.

Piao LiDepartment of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-0239-4712
Lingling LiDepartment of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Shennan WangDepartment of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Yu LiuXiangyang Central Hospital, Xiangyang, China.
Zhou LiDepartment of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Shu XiaDepartment of Oncology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Tongji Hospital · CNXiangyang Central Hospital · CN

Funding

Double First-Class University Plan funding of 2016 from Tongji Medical College, Huazhong University of Science and Technology 5001540022Qinghai Science and Technology Department Funding 2017-ZJ-709
6 · The paper itself

Abstract

backgroundCancer patients are at a high risk of being infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and are more likely to develop severe illness and have higher mortality once infected. In the COVID-19 pandemic, it is urgent to understand the effects of antitumor therapy on the prognosis of patients with COVID-19.

methodsA systematic literature search was conducted in PubMed, Cochrane Library, Embase, MedRxiv, and Chinese National Knowledge Infrastructure (CNKI) until 21 June 2020. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were evaluated using a random effects model to analyze the effects of antitumor therapies on COVID-19 patients.

resultsFor cancer patients with COVID-19, the death events related to antitumor treatment were higher than those with no antitumor treatment (OR = 1.55; 95% CI 1.07-2.25; p = 0.021). Compared with patients in the survival group, the non-survival group showed no significant differences in patients who received antitumor therapy. Compared with patients in the non-severe group, the severe group was more likely to receive antitumor therapy (OR = 1.50; 95% CI 1.02-2.19; p = 0.037) and there was a significant difference. The incidence of severe events was higher in the subgroup of chemotherapy (OR = 1.73; 95% CI 1.09-2.73).

conclusionThe synthesized evidence suggests that cancer patients with COVID-19 who received antitumor treatment shortly before symptom onset are more likely to experience severe symptoms and have high mortality. Receiving chemotherapy is an unfavorable factor for the prognosis of cancer patients with COVID-19.

Indexed as

AgedCOVID-19HumansMiddle AgedNeoplasmsSARS-CoV-2antitumor therapycancerchemotherapyCOVID-19meta-analysissystematic review

Identifiers

PMID33547886
PMCPMC7940220
OpenAlexW3127240961

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.