Evidence map›Paper›PMID 36969317›Full record

ArticleJournal of Taibah University Medical Sciences2023

Prognostic markers in patients with COVID-19 requiring intensive care support.

Khalid A Maghrabi, Fatmah S AlQahtany, Hadeel AlOtair, Mohannad K Maghrabi, Khalid AlSaleh, Tarek Owaidah

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 4 institutions in 1 country.

Khalid A MaghrabiDepartment of Critical Care Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, KSA.
Fatmah S AlQahtanyDepartment of Pathology, Hematopathology Unit, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, KSA.
Hadeel AlOtairDepartment of Medicine, King Saud University, King Saud University Medical City, Riyadh, KSA.
Mohannad K MaghrabiDepartment of Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, KSA.
Khalid AlSalehDepartment of Medicine, College of Medicine, King Saud University, Riyadh, KSA.
Tarek OwaidahDepartment of Pathology and Laboratory Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, KSA.
King Faisal Specialist Hospital & Research Centre · SAKing Saud University · SAAlfaisal University · SAKing Saud Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Several hematological and immunological markers, particularly neutrophil count, predict the severity of COVID-19. This study aimed at assessing hematological and coagulation parameters at different time points, to predict the complications or outcomes of patients with COVID-19 admitted to the intensive care unit (ICU). Methods: We conducted a prospective observational multicenter study in ICU departments. A total of 118 patients with COVID-19 admitted to the ICU were included. Clinical data and blood samples from routine hematology and coagulation tests were collected at admission, and on days 3, 7, and 14. The main outcome measures were high-flow-O Results: The venous thromboembolism score increased from a mean of 5.10 ± 2 on day 0 to 6.40 ± 2.80 on day 14 ( Conclusion: The venous thromboembolism score was significantly higher for patients who died than those who recovered. Furthermore, mechanical ventilation was associated with high mortality, whereas the risk of thrombosis and ICU admission correlated with high D-dimer values and DIC scores. Therefore, D-dimer levels and DIC scores are prognostic markers that may predict disease severity in patients with COVID-19.

Indexed as

CoagulationCOVID-19ICUKSAMarkers

Identifiers

PMID36969317
PMCPMC9998242
OpenAlexW4323857138

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.