Evidence map›Paper›PMID 35675942›Full record

ArticleSaudi medical journal2022

Complete blood cells count abnormalities in COVID-19 patients and their prognostic significance: Single center study in Makkah, Saudi Arabia.

Amal E Abd El-Lateef, Manar M Ismail, Gamal Thabet, Nur-Anna Cabrido

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
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

4 authors at 2 institutions in 2 countries.

Amal E Abd El-LateefFrom the Department of Clinical Pathology (Abd El-Lateef), Faculty of Medicine, Tanta University, Tanta; from the Department of Laboratory Medicine (Ismail, Thabet), National Cancer Institute, Cairo University, Cairo, Egypt; from the Laboratory Department (Abd El-Lateef), Faculty of Applied Medical Science, Umm Al-Qura University; from the Laboratory Department (Thabet, Cabrido), Security Force Hospital, Makkah, and from the Laboratory Department (Ismail), Al-Bishry hospital, Makkah, Kingdom of Saudi Arabia.
Manar M IsmailFrom the Department of Clinical Pathology (Abd El-Lateef), Faculty of Medicine, Tanta University, Tanta; from the Department of Laboratory Medicine (Ismail, Thabet), National Cancer Institute, Cairo University, Cairo, Egypt; from the Laboratory Department (Abd El-Lateef), Faculty of Applied Medical Science, Umm Al-Qura University; from the Laboratory Department (Thabet, Cabrido), Security Force Hospital, Makkah, and from the Laboratory Department (Ismail), Al-Bishry hospital, Makkah, Kingdom of Saudi Arabia.
Gamal ThabetFrom the Department of Clinical Pathology (Abd El-Lateef), Faculty of Medicine, Tanta University, Tanta; from the Department of Laboratory Medicine (Ismail, Thabet), National Cancer Institute, Cairo University, Cairo, Egypt; from the Laboratory Department (Abd El-Lateef), Faculty of Applied Medical Science, Umm Al-Qura University; from the Laboratory Department (Thabet, Cabrido), Security Force Hospital, Makkah, and from the Laboratory Department (Ismail), Al-Bishry hospital, Makkah, Kingdom of Saudi Arabia.
Nur-Anna CabridoFrom the Department of Clinical Pathology (Abd El-Lateef), Faculty of Medicine, Tanta University, Tanta; from the Department of Laboratory Medicine (Ismail, Thabet), National Cancer Institute, Cairo University, Cairo, Egypt; from the Laboratory Department (Abd El-Lateef), Faculty of Applied Medical Science, Umm Al-Qura University; from the Laboratory Department (Thabet, Cabrido), Security Force Hospital, Makkah, and from the Laboratory Department (Ismail), Al-Bishry hospital, Makkah, Kingdom of Saudi Arabia.
Cairo University · EGUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the role of different peripheral blood count parameters as a cheap and rapid test in determination of coronavirus disease -19 (COVID-19) severity and patients' outcome.

methodsThe data of 462 confirmed COVID-19 patients who attended at the Security Force Hospital, Makkah, Saudi Arabia, from October 2020 to March 2021 was retrospectively reviewed and C. Patients with viral infection and respiratory diseases other than COVID-19 were excluded from the study. Complete blood count parameters were compared in accordance with the severity of the clinical presentation, age, and disease outcome.

resultsA total of 277 (60%) were male and 185 (40%) female. Clinically, 32 (6.9%) had severe illness and 430 (93.1%) showed moderate clinical disease. Organ failure occurred in 2.8% of the patients. There was significant leucocytosis, neutrophilia, lymphopenia, high neutrophil-lymphocyte (N/L) ratio, and anemia in patients with severe COVID-19 diseases as well as in non-survivors' cases (

conclusionLeucocytosis, neutrophilia, lymphopenia, and high N/L ratio together with elevated serum level of ferritin and CRP are eminent features of COVID-19 severity. The inclusion of these parameters in the regimens for patients' categorization on admission will enable early effective intervention and proper decision making during clinical case management.

Indexed as

Blood Cell CountCOVID-19C-Reactive ProteinFemaleFerritinsHumansLymphopeniaMaleNeutrophilsPrognosisRetrospective StudiesSARS-CoV-2Saudi ArabiaC-Reactive ProteinFerritinscomplete blood countCOVID-19inflammationprognostic significance

Identifiers

PMID35675942
PMCPMC9389889
OpenAlexW4281661902

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.