Evidence map›Paper›PMID 34485128›Full record

ArticleFrontiers in oncology2021

Impact of Coronavirus Disease 2019 on Clinical Characteristics in Patients With Lung Cancer: A Large Single-Centre Retrospective Study.

Yu Zhang, Jie Li, Zhi-Ke Li, Xiyue Yang, Jie Bai, Lihua Liu, Tangzhi Dai, Gang Feng, Qiu Li, Xiaobo Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Observational
  5. Article
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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

10 authors at 3 institutions in 1 country.

Yu ZhangDepartment of Medical Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Jie LiDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Zhi-Ke LiDepartment of Medical Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Xiyue YangDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Jie BaiDepartment of Rehabilitation Medicine, MianYang Central Hospital, MianYang, China.
Lihua LiuDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Tangzhi DaiDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Gang FengDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Qiu LiDepartment of Medical Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Xiaobo DuDepartment of Oncology, MianYang Central Hospital, MianYang, China.
Mianyang Central Hospital · CNWest China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common cancer malignancy worldwide. With the continuous spread of the coronavirus disease 2019 (COVID-19) globally, it is of great significance to explore the impact of this disease on the clinical characteristics of lung cancer. Thus, we aimed to investigate whether the COVID-19 pandemic had any influence on the clinical characteristics and diagnosis of patients with lung cancer. We collected clinical and demographic data of patients who were newly diagnosed with lung cancer at our hospital between February 2019 and July 2020. Overall, 387 patients with lung cancer were divided into two groups for analysis: epidemic group (from February to July 2020) and pre-epidemic group (from February to July 2019). The source of diagnosis and clinical characteristics of the two groups were analysed. T-test and Mann-Whitney U were used for continuous variables, and Chi-squared or Fisher's exact test for categorical variable. We found that during the epidemic period, 110 cases of lung cancer were incidentally diagnosed during COVID-19 screening, accounting for 47.6% of all newly diagnosed lung cancer cases at our hospital. The proportions of patients who were diagnosed based on symptoms and physical examination in the epidemic group were 34.2 and 18.2%, respectively, while that in the pre-epidemic group were 41.7 and 58.3%, respectively. There was significant difference in the source of diagnosis between the two groups. In a subgroup analysis of the epidemic group, the average tumour volume of the patients diagnosed with COVID-19 screening was significantly smaller than that of the patients diagnosed with symptoms and physical examination. In conclusion, the continuation of the COVID-19 pandemic may impact the screening and clinical characteristics of lung cancer and require large-scale and longer-term observation.

Indexed as

clinical characteristicsCOVID-19CT screeninginfluencelung cancer

Identifiers

PMID34485128
PMCPMC8415498
OpenAlexW3194253580

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.