Evidence map›Paper›PMID 34430559›Full record

ArticleAnnals of translational medicine2021

Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19.

Pingping Ren, Chaohong Zhu, Yongchun He, Hong Jiang, Jianghua Chen

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 3 institutions in 1 country.

Pingping RenKidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Chaohong ZhuKidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yongchun HeKidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Hong JiangKidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Jianghua ChenKidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
State Administration of Traditional Chinese Medicine of the People's Republic of China · CNZhejiang University · CNNational Clinical Research Center for Digestive Diseases · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus disease (COVID-19) has been declared a global pandemic, with the cumulative number of confirmed cases and deaths exceeding 150 million and 3 million, respectively. Here, we examined the dynamic changes in the immune and clinical features of patients with COVID-19.

methodsClinical data of 98 patients with confirmed COVID-19 diagnosis were acquired from electronic medical records and curated. The data were analyzed based on the stage of the admission, deterioration, and convalescence, which included age, sex, severity, disease stages, biochemical indicators, immune cells, inflammatory cytokines, and immunoglobulins. Additionally, temporal changes in the immune response in patients undergoing continuous renal replacement therapy (CRRT) were also examined.

resultsCompared to mild stage patients, severe stage patients with COVID-19 exhibited a significant reduction in lymphocyte [23.10 (17.58-33.55)

conclusionsOur results indicate that the surveillance of immune cells may contribute to monitoring COVID-19 disease progression, and CRRT is a potential therapeutic strategy to regulate the immune balance in critically ill patients.

Indexed as

continuous renal replacement therapy (CRRT)COVID-19cytokinesimmune cells

Identifiers

PMID34430559
PMCPMC8350647
OpenAlexW3182016913

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.