Evidence map›Paper›PMID 32829962›Full record

ReviewBlood reviews2021

The looming storm: Blood and cytokines in COVID-19.

Supreet Kaur, Rashika Bansal, Sudarsan Kollimuttathuillam, Anusha Manje Gowda, Balraj Singh, Dhruv Mehta, Michael Maroules

Open access · greenAbstract readReview
In one paragraph

Review in Blood reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 7% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Bowel ischemia in COVID-19: A systematic review.International journal of clinical practice · 2021
    Pooled it
  2. Review
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Cytokine Storm in a Massively Burned Pediatric Patient.Journal of burn care & research : official publication of the American Burn Association · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Supreet KaurDepartment of Hematology and Oncology, St. Joseph University Medical Center, 703 Main Street, Paterson, NJ 07503, USA. Electronic address: kaurs6@uthscsa.edu.
Rashika BansalMetabolic Diseases Branch, National Institute of Diabetes and Digestive and Kidney Disease (NIDDK) National Institutes of Health, 6555 Rock Spring Dr, Bethesda, MD 20817, USA.
Sudarsan KollimuttathuillamDepartment of Hematology and Oncology, St. Joseph University Medical Center, 703 Main Street, Paterson, NJ 07503, USA.
Anusha Manje GowdaDepartment of Hematology and Oncology, St. Joseph University Medical Center, 703 Main Street, Paterson, NJ 07503, USA.
Balraj SinghDepartment of Hematology and Oncology, St. Joseph University Medical Center, 703 Main Street, Paterson, NJ 07503, USA.
Dhruv MehtaDivision of Gastroenterology and Hepatobiliary disease, Westchester Medical Center at New York Medical College, 100 Woods Road, Valhalla, NY 10595, USA.
Michael MaroulesDepartment of Hematology and Oncology, St. Joseph University Medical Center, 703 Main Street, Paterson, NJ 07503, USA. Electronic address: maroulem@sjhmc.org.
St. Joseph’s University Medical Center · USNational Institutes of Health · USWestchester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus termed as COVID-19 by WHO has been the causative agent of an unprecedented pandemic in the history of humanity. The global burden of mortality and morbidity associated with this pandemic continues to increase with each passing day as it is progressively leading to multiorgan dysfunction. In most cases, the cause of death has been attributed to respiratory failure, sepsis, cardiac failure, kidney injury, or coagulopathy. As more knowledge is being unfolded, an in-depth understanding of various systemic manifestations and complications of SARS-CoV2 is vital for optimum management of these patients. This novel virus is known to spread faster than its two ancestors, the SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), demonstrating a case fatality ranging from 5 to 8% [1]. Hematological abnormalities such as lymphopenia, thrombocytopenia, elevated D-Dimer, elevated fibrinogen, elevated fibrinogen degradation products as well as cytokines such as IL-6 are emerging as important prognostic marker for worse outcome of COVID-19. Among various systemic manifestations, hematological complications such as venous thrombosis causing pulmonary embolism or deep vein thrombosis, and arterial thrombosis causing myocardial infarction, strokes or limb ischemia are being noted to be directly linked to high mortality from COVID-19. An attempt to understand the pathophysiology of various hematological abnormalities including cytokine storm, hypercoagulable state and some rare presentations of this disease hence becomes imperative. Through this review, we aim to provide an up-to-date summary of current evidence-based literature of hematological manifestations, their consequences and management including role of anticoagulation and drugs targeting cytokine storm in patients with SARS-CoV-2.

Indexed as

Blood Coagulation DisordersCOVID-19CytokinesHumansPrognosisSARS-CoV-2CytokinesAnticoagulationCoagulationCOVID-19Cytokine release syndromeThrombocytopeniaThrombosis

Identifiers

PMID32829962
PMCPMC7431319
OpenAlexW3049196457

What OpenQuestion holds

Textmetadata
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.