Evidence map›Paper›PMID 39359765›Full record

ReviewAnnals of medicine and surgery (2012)2024

Impacts of COVID-19 on hemostasis: coagulation abnormalities and management perspectives.

Emmanuel Ifeanyi Obeagu, Muhammad Tukur, Kingsley Akaba

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Stress-induced hemostasis: mechanisms and implications for health.Annals of medicine and surgery (2012) · 2025
    Review
  8. Innovative Diagnostic Solutions in Hemostasis.Diagnostics (Basel, Switzerland) · 2024
    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

3 authors.

Emmanuel Ifeanyi ObeaguDepartment of Medical Laboratory Science.
Muhammad TukurDepartment of Science Education, Faculty of Education, Kampala International University, Kampala, Uganda.
Kingsley AkabaDepartment of Haematology, University of Calabar, Calabar, Cross-River State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic caused by SARS-CoV-2 has transcended its initial characterization as a respiratory illness, revealing substantial implications for hemostasis and coagulation pathways. COVID-19-associated coagulopathies have emerged as critical determinants of disease severity and prognosis, presenting a multifaceted challenge in clinical management. This paper aims to elucidate the intricate interplay between COVID-19 and hemostasis, delving into the underlying mechanisms of coagulation abnormalities, exploring the spectrum of thrombotic complications, and discussing evolving management strategies. Therapeutic interventions and anticoagulation strategies tailored for managing COVID-19-related coagulopathies form a significant focus, encompassing prophylactic and therapeutic approaches, heparin-based therapies, and individualized treatment paradigms. This paper underscores the imperative for ongoing research endeavors to refine diagnostic modalities, identify novel therapeutic targets, and ascertain long-term sequelae of COVID-19-induced coagulation abnormalities. Ultimately, a comprehensive understanding of the intricate relationship between COVID-19 and hemostasis is pivotal in devising effective management strategies to mitigate thrombotic risks, improve clinical outcomes, and pave the way for tailored interventions in affected individuals.

Indexed as

anticoagulationcoagulopathyCOVID-19hemostasisthrombosis

Identifiers

PMID39359765
PMCPMC11444586

What OpenQuestion holds

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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.