Evidence map›Paper›PMID 36943814›Full record

ReviewJournal of intensive medicine2021

Understanding COVID-19-associated coagulopathy: From PIC to SIC or DIC.

Zhong Wang, Xiang Gao, He Miao, Xiaochun Ma, Renyu Ding

Open access · goldAbstract readReview
In one paragraph

Review in Journal of intensive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. 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

5 authors at 2 institutions in 1 country.

Zhong WangDepartment of Critical Care Medicine, The First Hospital of China Medical University, North Nanjing Street 155, Shenyang, Liaoning 110001, China.
Xiang GaoDepartment of Critical Care Medicine, The First Hospital of China Medical University, North Nanjing Street 155, Shenyang, Liaoning 110001, China.
He MiaoDepartment of Critical Care Medicine, The First Hospital of China Medical University, North Nanjing Street 155, Shenyang, Liaoning 110001, China.
Xiaochun MaDepartment of Critical Care Medicine, The First Hospital of China Medical University, North Nanjing Street 155, Shenyang, Liaoning 110001, China.
Renyu DingDepartment of Critical Care Medicine, The First Hospital of China Medical University, North Nanjing Street 155, Shenyang, Liaoning 110001, China.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coagulopathy, characterized by a high D-dimer level, is a common pathological occurrence in coronavirus disease 2019 (COVID-19) and is associated with poor prognosis. Severe cases with COVID-19 is associated with a significantly higher risk of deep vein thrombosis and acute pulmonary embolism. Pulmonary intravascular coagulopathy is the characteristic coagulopathy in COVID-19. Unlike sepsis-induced coagulopathy and disseminated intravascular coagulation, which are manifestations of systemic coagulopathy, pulmonary intravascular coagulopathy is a manifestation of a local coagulation disorder in the lung. The progression from pulmonary intravascular coagulopathy to sepsis-induced coagulopathy or disseminated intravascular coagulation in the context of COVID-19 may indicate that the patient's coagulation dysfunction has progressed from local to systemic. Exploring the associated coagulation disease will aid in the understanding of the pathophysiological mechanisms underlying severe COVID-19.

Indexed as

Acute pulmonary embolismCoagulopathyCOVID-19Deep vein thrombosisDisseminated intravascular coagulation

Identifiers

PMID36943814
PMCPMC7997848
OpenAlexW3141133935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.