Evidence map›Paper›PMID 32684101›Full record

ArticleTherapeutic advances in respiratory disease

Dysfunction of adaptive immunity is related to severity of COVID-19: a retrospective study.

Liang Xie, Qinhan Wu, Qunying Lin, Xuhui Liu, Weihua Lin, Shengyu Hao, Weiping Hu, Guiling Xiang, Hongzhou Lu, Shanqun Li

Abstract readMulticenter Study
In one paragraph

Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

10 authors.

Liang XieDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Qinhan WuDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Qunying LinDepartment of Respiratory Medicine, Affiliated Hospital of Putian University, Putian, China.
Xuhui LiuDepartment of Infectious Diseases, Shanghai Public Health Clinical Center, Shanghai, China.
Weihua LinDepartment of Respiratory Medicine, Affiliated Hospital of Putian University, Putian, China.
Shengyu HaoDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Weiping HuDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Guiling XiangDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-5293-2908
Hongzhou LuDepartment of Infectious Diseases, Shanghai Public Health Clinical Center, 2901 Caolang Road, Shanghai, China, 201508.
Shanqun LiDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd., Shanghai, 200032, China.ORCID 0000-0002-8096-9780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn December of 2019, coronavirus disease 2019 (Covid-19) was reported in Wuhan, China, and has now rapidly swept around the world. Much research has been carried out since the outbreak, but few studies have focused on the dysfunction of the adaptive immunity.

methodsIn this retrospective and multi-center study, 373 patients with laboratory-confirmed COVID-19 from Shanghai Public Health Clinical Center and Affiliated Hospital of Putian University were recruited. Demographic, clinical, radiological features, and laboratory data were recorded and analyzed at admission and at discharge. Results of immunological tests were followed up until the patients were discharged.

resultsOf the 373 patients with COVID-19 pneumonia, 322 were in the non-severe group and 51 were in the severe group. Number of T cells, CD4+ and CD8+ T cells, and total lymphocytes declined remarkably upon admission and elevated when the patients were discharged. At admission, counts of total lymphocytes, T cells, CD4+ and CD8+ T cells, and levels of C3 and C4 in the severe group were lower than those in the non-severe group, whereas the neutrophil to lymphocyte ratio (NLR) was higher in the severe group. Counts of T cells, CD4+ and CD8+ T cells, and total lymphocytes were negatively correlated with lactate dehydrogenase and C-reactive protein.

conclusionCOVID-19 might target adaptive immunity and cause a decrease in lymphocytes, especially T cells and subsets. Physicians should pay close attention to the adaptive immunity of patients upon admission. Monitoring NLR, T lymphocytes, and subsets would help physicians with the proper diagnosis and treatment of COVID-19.

Indexed as

Adaptive ImmunityAdultAgedAged, 80 and overChinaClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHumansMaleMiddle AgedNeutrophilsPandemicsPneumonia, ViralAdaptive immunityCOVID-19T lymphocytesT lymphocyte subgroups

Identifiers

PMID32684101
PMCPMC7372623

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.