Evidence map›Paper›PMID 36873099›Full record

ArticleJournal of tropical medicine2023

Association of Hematological and Biochemical Parameters with Serological Markers of Acute Dengue Infection during the 2022 Dengue Outbreak in Nepal.

Bibek Raj Bhattarai, Abhishek Mishra, Suraj Aryal, Mandira Chhusyabaga, Rajshree Bhujel

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In one paragraph

Article in Journal of tropical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Bibek Raj BhattaraiDepartment of Clinical Pathology, Nepal Lab House, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4601-6430
Abhishek MishraDepartment of Clinical Pathology, Nepal Lab House, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-8304-4903
Suraj AryalDepartment of Microbiology, Chitwan Medical College, Tribhuvan University, Bharatpur, Nepal.ORCID https://orcid.org/0000-0002-2053-8989
Mandira ChhusyabagaDepartment of Microbiology, School of Health and Allied Sciences, Pokhara University, Pokhara, Nepal.ORCID https://orcid.org/0000-0002-5683-9927
Rajshree BhujelDepartment of Clinical Pathology, Nepal Lab House, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-2510-7966
Tribhuvan University · NPPokhara University · NPTribhuvan University Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nepal faced a major dengue outbreak in 2022. The majority of hospitals and laboratories had limited resources for dengue confirmation and had to rely on rapid dengue diagnostic tests. The purpose of the study is to find the predictive hematological and biochemical parameters in each serological phase of dengue infection (NS1 and IgM) that may assist in dengue diagnosis, severity assessment, and patient management via the use of rapid serological tests. Method: A laboratory-based cross-sectional study was conducted among dengue patients. Rapid antigen (NS1) and serological test (IgM/IgG) was performed to diagnose positive dengue cases. Furthermore, hematological and biochemical investigations were carried out and compared between NS1 and/or IgM-positive participants. A logistic regression analysis was used to identify the validity of the hematological and biochemical characteristics for dengue diagnosis as well as patient management. Receiver-operating characteristic (ROC) curve analysis was used to define the best cut-off, sensitivity, and specificity. Result: Multiple logistic regression showed thrombocytopenia (OR Conclusion: Hence, thrombocytopenia, elevated AST, high glucose level, leukopenia with monocytosis, and leukopenia with lymphopenia may predict dengue diagnosis and its severity during an active infection. Therefore, these laboratory parameters can be used to complement less sensitive rapid tests, improve dengue diagnosis, and help with proper patient management.

Identifiers

PMID36873099
PMCPMC9981284
OpenAlexW4321612169

What OpenQuestion holds

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Registered trials

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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.