Evidence map›Paper›PMID 34602859›Full record

ArticleMediators of inflammation2021

Clinical Treatment Experience in Severe and Critical COVID-19.

Mingliang Li, Donglin Zhu, Jianghua Yang, Ling Yan, Zhiyong Xiong, Jiahai Lu, Xiaogang Bi, Yun Xi, Zeliang Chen

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. 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

9 authors at 2 institutions in 1 country.

Mingliang LiDepartment of General ICU, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0001-7718-2445
Donglin ZhuDepartment of Clinical Laboratory, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0001-8661-1977
Jianghua YangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-8054-2349
Ling YanDepartment of General ICU, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Zhiyong XiongDepartment of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Jiahai LuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-8593-3402
Xiaogang BiDepartment of General ICU, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0003-1954-1651
Yun XiDepartment of Clinical Laboratory, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0002-6002-523X
Zeliang ChenSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0003-4765-184X
Sun Yat-sen University · CNShenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared with other deadly diseases, the coronavirus disease 2019 (COVID-19) is highly infectious with a relatively low mortality rate. Although critical cases account for only 5% of cases, the mortality rate for the same is nearly 50%. Therefore, the key to the COVID-19 treatment is to effectively treat severe patients and reduce the transition from severe to critical cases. A retrospective study was carried out to evaluate outcomes of treatment in patients with severe and critical COVID-19 admitted to a COVID-19 special hospital in Wuhan, China. A total of 75 severe and critical COVID-19 patients were admitted and treated with immunomodulation as the main strategy combined with anti-inflammatory therapy and appropriate anticoagulation. Leukocyte levels in patients with 7-14 days of onset to diagnosis were significantly lower than in those with >14 days. Higher levels of globulin and D-dimer and lower lymphocyte levels were found in the older age group (>65 years) than in the middle-aged group (50-64 years). Patients with comorbidity had higher levels of inflammatory indicators. After treatment, 65 (86.67%) patients were cured, 7 (9.33%) had improved, and 3 (4.00%) had died. Median hospitalization duration was 23 days. Fatal cases showed continuously increased levels of globulin, dehydrogenase (LDH), hypersensitive C-reactive protein (hs-CRP), D-dimer, and cytokines during treatment. Time from onset to diagnosis, age, and comorbidity are important influencing factors on treatment effects. The occurrence of immunosuppression, "cytokine storm," and thrombosis may be an important cause of death in severely infected cases. In conclusion, high cure rate and low mortality suggested that immunomodulation combined with anti-inflammatory therapy and appropriate anticoagulant therapy is a good strategy for treatment of patients with severe and critical COVID-19.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2AdultAgedAged, 80 and overAnti-Inflammatory AgentsCOVID-19FemaleHumansImmunomodulationMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexAnti-Inflammatory Agents

Identifiers

PMID34602859
PMCPMC8483935
OpenAlexW3203122395

What OpenQuestion holds

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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.