Evidence map›Paper›PMID 33261583›Full record

Observational studyBMC infectious diseases2020

Specific dynamic variations in the peripheral blood lymphocyte subsets in COVID-19 and severe influenza A patients: a retrospective observational study.

Fang Qian, Guiju Gao, Yangzi Song, Yanli Xu, Aibin Wang, Sa Wang, Yiwei Hao, Meiling Chen, Xiaoyang Ma, Tianwei Zhao and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 36% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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

13 authors at 1 institution in 1 country.

Fang QianClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Guiju GaoClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Yangzi SongClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Yanli XuClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Aibin WangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Sa WangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Yiwei HaoDepartment of Medical Records and Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Meiling ChenDepartment of Medical Records and Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaoyang MaDepartment of Neurology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Tianwei ZhaoClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China.
Xiaodi GuoDepartment of Oncology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhihai ChenClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China. chenzhihai0001@126.com.
Fujie ZhangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No.8, Jing shun Dong jie, Chaoyang, 100015, District Beijing, China. treatment@chinaaids.cn.ORCID http://orcid.org/0000-0001-6386-9879
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth COVID-19 and influenza A contribute to increased mortality among the elderly and those with existing comorbidities. Changes in the underlying immune mechanisms determine patient prognosis. This study aimed to analyze the role of lymphocyte subsets in the immunopathogenesisof COVID-19 and severe influenza A, and examined the clinical significance of their alterations in the prognosis and recovery duration.

methodsBy retrospectively reviewing of patients in four groups (healthy controls, severe influenza A, non-severe COVID-19 and severe COVID-19) who were admitted to Ditan hospital between 2018 to 2020, we performed flow cytometric analysis and compared the absolute counts of leukocytes, lymphocytes, and lymphocyte subsets of the patients at different time points (weeks 1-4).

resultsWe reviewed the patients' data of 94 healthy blood donors, 80 Non-severe-COVID-19, 19 Severe-COVID-19 and 37 severe influenza A. We found total lymphocytes (0.81 × 10

conclusionsOur study suggests the plausible role of lymphocyte subsets in disease progression, which in turn affects prognosis and recovery duration in patients with severe COVID-19 and influenza A.

Indexed as

Severity of Illness IndexAdultAgedBeijingCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesComorbidityCOVID-19Cross-Sectional StudiesDisease ProgressionFemaleFlow CytometryHumansInfluenza A virusInfluenza, HumanLymphocyte CountCoronavirus disease-19 (COVID-19)LymphocyteSevere influenza AT cells subsets

Identifiers

PMID33261583
PMCPMC7705851
OpenAlexW3107199225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.