Evidence map›Paper›PMID 39525655›Full record

ArticleData in brief2024

A benchmark dataset for analyzing hematological responses to dengue fever in Bangladesh.

Md Assaduzzaman, Oahidul Islam, Md Asraful Sharker Nirob, Md Minhajul Hayat Mim, Arif Mahmud

Abstract read
In one paragraph

Article in Data in brief, 2024. 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
–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

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3 · Its place in the literature

Who cites it

2 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

5 authors.

Md AssaduzzamanDepartment of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, 1216 Dhaka, Bangladesh.
Oahidul IslamDepartment of Electrical & Electronic Engineering, Daffodil International University, Daffodil Smart City, Birulia, 1216 Dhaka, Bangladesh.
Md Asraful Sharker NirobDepartment of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, 1216 Dhaka, Bangladesh.
Md Minhajul Hayat MimDepartment of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, 1216 Dhaka, Bangladesh.
Arif MahmudDepartment of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, 1216 Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever is an important public health problem in tropical and subtropical areas, and the understanding of its hematological changes is crucial for the improvement of diagnosis, treatment, and prognosis. This data set presents hematological parameters for the systematic record of patients suffering from dengue infection: age, sex, hemoglobin, WBC count, differential count, RBC panel, platelet count, and PDW. The dataset has in-depth records of patients admitted to Upazila Health Complex, Kalai, Jaipurhat, Bangladesh and thus offers an opportunity for further analysis of hematological changes produced by dengue infection. This dataset is valuable because of the potential contribution that these data will make to developing predictive models for disease severity and patient outcomes, enhancing clinical decision-making. It serves as a benchmark for the comparison of hematological responses across different demographics and geographical locations, adding value to the knowledge of dengue in the world. Moreover, the study has gone further to indicate how the characteristics related to blood may be affected by various treatment regimens, hence offering better treatment protocols. The data preprocessing in this study involved cleaning, normalization, and encoding of the variables before proceeding to perform the statistical analysis. This showed a Chi-Square test for no significant association of sex with the diagnostic outcome, as given by the

Indexed as

Blood analysisClinical decision-makingDengue feverGender influenceHematological parametersPredictive models

Identifiers

PMID39525655
PMCPMC11546289

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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.