Evidence map›Paper›PMID 33120752›Full record

Observational studyMedicine2020

Analysis of dynamic disturbance in blood coagulation function of patients with Coronavirus Disease 2019: A retrospective observational study.

Nian Chen, Yuwen Li, Haozhi Fan, Anran Tian, Hui Yuan, Zhengyi Jiang, Yunxi Yu, Lili Ruan, Pingping Hu, Ming Yue and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. D-dimer, COVID-19 and Diabetes: A Correspondence.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

12 authors at 3 institutions in 1 country.

Nian ChenDepartment of Infectious Disease.
Yuwen LiDepartment of Pediatrics.
Haozhi FanDepartment of Information, the First Affiliated Hospital of Nanjing Medical University, Nanjing.
Anran TianDepartment of Infectious Disease.
Hui YuanDepartment of Infectious Disease.
Zhengyi JiangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou.
Yunxi YuEmergency department, Huangshi Hospital of Traditional Chinese Medicine.
Lili RuanDepartment of Anesthesiology, The Fifth Hospital of Huangshi, Huangshi, Hubei Province, China.
Pingping HuDepartment of Infectious Disease.
Ming YueDepartment of Infectious Disease.
Jun LiDepartment of Infectious Disease.
Chuanlong ZhuDepartment of Infectious Disease.
Huangshi Central Hospital · CNNanjing Medical University · CNState Key Laboratory of Diagnosis and Treatment of Infectious Diseases

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19) has became a major problem affecting global health security.To assess the differences and dynamic changes of blood coagulation function in COVID-19 patients with different severity.A total of 261 COVID-19 patients from January 24 to March 25, 2020 in Huangshi, Hubei Province were enrolled.We designed a retrospective observational study. Clinical information, including age, blood routine and blood coagulation function, were collected. According to the Diagnosis and Treatment Guidelines for COVID-19 (seventh version) that issued by the National Health Committee of the People's Republic of China, patients were divided into 3 subgroups: 186 ordinary, 45 severe and 30 critical ones. We compared the differences in blood coagulation factors among groups.Average age in critical group (71.47 ± 11.48 years) was the oldest of 3 subgroups. At admission, statistically differences could be observed among ordinary, severe and critical patients in D-dimer (0.18 ± 0.33, 0.63 ± 1.13 and 1.16 ± 1.58 mg/L), fibrinogen/fibrin degradation products (FDP) (3.11 ± 5.30, 9.82 ± 23.91 and 21.94 ± 40.98 μg/ml), platelet [(169 ± 62.85), (188 ± 71.56) and (117 ± 38.31) × 10/L)] and lymphocyte count [(1.18 ± 0.46), (0.82 ± 0.35) and (0.75 ± 0.39) × 10/L)], respectively (P < .05). During hospitalization, the peak values of coagulation and valley values of blood routine were monitored. There were significant differences among ordinary, severe and critical patients in D-dimer (0.26 ± 0.46, 1.39 ± 1.51 and 2.89 ± 1.68 mg/L), FDP (3.29 ± 5.52, 23.68 ± 39.07 and 56.11 ± 49.94 μg/ml), platelet [(164 ± 55.53), (171 ± 69.96) and (84 ± 57.80) × 10/L)] and lymphocyte count [(1.10 ± 0.46), (0.65 ± 0.35) and (0.55 ± 0.31) × 10/L)], respectively (P < .001). D-dimer and FDP in the course of disease in severe/critical groups showed a first upward and then downward trend.We concluded that coagulation function indexes such as D-dimer and FDP could be served as markers to estimate COVID-19 patients condition. Close monitoring of coagulation function may be helpful for early diagnosis of severe patients and guidance of treatments.

Indexed as

BetacoronavirusAdultAgedAged, 80 and overBlood Coagulation DisordersBlood Coagulation TestsCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2

Identifiers

PMID33120752
PMCPMC7581139
OpenAlexW3093683265

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.