Evidence map›Paper›PMID 39055808›Full record

ArticleHeliyon2024

Age, gender, and infectious status-wise assessments of hematological parameters among patients with dengue infection.

Faiza Zeb, Kashif Syed Haleem, Mansour Almuqbil, Maliha Rashid, Wajid Hussain, Farhana Maqbool, Isfahan Tauseef, Laila Jafri, Basheerahmed Abdulaziz Mannasaheb, Syed Arif Hussain and 3 more

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–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

5 citing papers in PubMed.

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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

13 authors.

Faiza ZebDepartment of Microbiology, Hazara University Mansehra, KPK, Pakistan.
Kashif Syed HaleemDepartment of Microbiology, Hazara University Mansehra, KPK, Pakistan.
Mansour AlmuqbilDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Maliha RashidUniversity Institute of Biochemistry and Biotechnology, PMAS Arid Agriculture University Rawalpindi, 46000, Pakistan.
Wajid HussainAdvanced Biomaterial & Tissue Engineering Center, College of Life Sciences and Technology, Huazhong University of Science and Technology Wuhan, 4300, PR China.
Farhana MaqboolDepartment of Microbiology, Hazara University Mansehra, KPK, Pakistan.
Isfahan TauseefDepartment of Microbiology, Hazara University Mansehra, KPK, Pakistan.
Laila JafriDepartment of life sciences, Health Services Academy, Islamabad, Pakistan.
Basheerahmed Abdulaziz MannasahebDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah, 13713, Saudi Arabia.
Syed Arif HussainDepartment of Respiratory Care, College of Applied Sciences, AlMaarefa University, Dariyah, 13713, Riyadh, Saudi Arabia.
Mohammed Sharique Ahmed QuadriDepartment of Basic Medical Science, College of Medicine, AlMaarefa University, Dariyah, 13713, Riyadh, Saudi Arabia.
Amro Mohammed Sawadi KhormiDepartment of Pharmacy, King Saud University Medical City, Riyadh, Saudi Arabia.
Syed Mohammed Basheeruddin AsdaqDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah, 13713, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to examine the impact of different stages of dengue infection on immune cell counts among dengue patients and to compare them with cases of non-dengue febrile illness. Methods: The recruited patients were divided into two groups: the first group served as a control (n = 55), representing non-dengue febrile illness, and the second group was identified as dengue febrile illness (n = 149), which was further divided into three groups based on infection stage. Blood samples were collected from the selected patients and subjected to blood cell component analysis. To find IgG and IgM as well as the dengue virus non-structural antigen-1 (NS1), an immunochromatographic test (ICT) kit was utilized. Additionally, a hematological analyzer was used to determine complete blood cell counts (CBC). Data was thoroughly analyzed using Graph Pad Prism 6 software. The differences in means of different groups were calculated by applying the student's t-test. Results: The findings revealed the presence of severe leucopenia and thrombocytopenia at stages 1 and 2, accompanied by lymphopenia at stage 1. Group comparisons indicated that only teenagers exhibited a significantly lower white blood cell count compared to older individuals, while no significant differences were observed in lymphocytes, platelets, and monocytes across all age groups. Comparing different age groups of normal individuals to dengue-infected patients, the results unveiled that leucopenia was most severe in adults, followed by teenagers and children, with no significant difference in the elderly. Furthermore, adults showed the greatest degree of thrombocytopenia, followed by teens and kids, with the elderly showing the greatest degree of thrombocytopenia. Adults and teens showed extreme neutrophilia, whereas young children and the elderly showed no discernible abnormalities. Elderly patients experienced a marked decrease in monocyte count, a phenomenon not observed in other age groups. Conclusion: In conclusion both, leucopenia & thrombocytopenia, are most severe in stages 1 and 2, whereas neutrophilia & lymphopenia are predominantly severe in stage 1. These results imply that the consequences associated with dengue infection are more severe in the early stages and tend to ameliorate as the patient progresses toward recovery.

Indexed as

Dengue infectionHematological parametersImmune cell countInfection controlLeucopeniaThrombocytopenia

Identifiers

PMID39055808
PMCPMC11269918

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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.