Evidence map›Paper›PMID 32375909›Full record

ArticleDisaster medicine and public health preparedness2020

Impact of Fundamental Diseases on Patients With COVID-19.

Yiguang Chen, Tianhua Li, Yongyi Ye, Yongjian Chen, Jun Pan

Open access · hybridAbstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.7field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data.International journal of environmental research and public health · 2022
    Article
  6. Factors affecting the transmission of SARS-CoV-2 in school settings.Influenza and other respiratory viruses · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Gender-based differences in COVID-19.New microbes and new infections · 2021
    Article
  11. Clinicoepidemiological Features and Mortality Analysis of Deceased Patients with COVID-19 in a Tertiary Care Center.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  12. Article
  13. Article
  14. 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

5 authors at 3 institutions in 1 country.

Yiguang ChenDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Tianhua LiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yongyi YeGuangdong Medical University, ZhanJiang, Guangdong, China.
Yongjian ChenDepartment of Medical Oncology and Guangdong Key Laboratory of Liver Disease, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jun PanDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9294-2350
Sun Yat-sen University · CNGuangdong Medical College · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn December 2019, a new type of coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared in Wuhan, China. Serious outbreaks of coronavirus disease 2019 (COVID-19), related to the SARS-CoV-2 virus, have occurred throughout China and the world. Therefore, we intend to shed light on its potential clinical and epidemiological characteristics.

methodsIn this retrospective study, we included 50 confirmed fatal cases of SARS-CoV-2 reported on Chinese official media networks from January 16, 2020, to February 5, 2020. All the cases were confirmed by local qualified medical and health institutions. Specific information has been released through official channels. According to the contents of the reports, we recorded in detail the gender, age, first symptom date, death date, primary symptoms, chronic fundamental diseases, and other data of the patients, and carried out analyses and discussion.

resultsIn total, 50 fatal cases were reported: median age was 70 y old, and males were 2.33 times more likely to die than females. The median number of days from the first symptom to death was 13, and that length of time tended to be shorter among people aged 65 and older compared with those younger than 65 (12 days vs 17 days; P = 0.046). Therefore, the older patients had fewer number of days from the first symptom to death (r = -0.40; P = 0.012).

conclusionsIn our study, we found that most of the deaths were elderly men with chronic fundamental diseases, and their COVID-19 progression to death time was shorter. At the same time, we demonstrated that older men are more likely to become infected with COVID-19, and the risk of death is positively correlated with age.

Indexed as

AgedAge DistributionChinaComorbidityCOVID-19FemaleHumansMaleRetrospective StudiesSARS-CoV-2Xenopus ProteinsZinc Finger Protein Gli3GLI3 protein, XenopusXenopus ProteinsZinc Finger Protein Gli3COVID-19SARS-CoV-2The elderly

Identifiers

PMID32375909
PMCPMC7240136
OpenAlexW3022728942

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.