Evidence map›Paper›PMID 38573991›Full record

ArticlePloS one2024

Molecular identification and phylogenetic analysis of chikungunya virus among dengue-negative patients in Kolkata, India.

Rajendra Prasad Chatterjee, Aroni Chatterjee, Sabbir Ansari, Shilpa Chatterjee, Shyamalendu Chatterjee, Nilanjan Chakraborty

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 2 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

6 authors at 2 institutions in 2 countries.

Rajendra Prasad ChatterjeeICMR-National Institute of Cholera & Enteric Diseases, Kolkata, India.
Aroni ChatterjeeICMR-National Institute of Cholera & Enteric Diseases, Kolkata, India.
Sabbir AnsariICMR-National Institute of Cholera & Enteric Diseases, Kolkata, India.
Shilpa ChatterjeeDepartment of Biomedical Science, Chosun University College of Medicine, Gwangju, Republic of Korea.
Shyamalendu ChatterjeeICMR-National Institute of Cholera & Enteric Diseases, Kolkata, India.
Nilanjan ChakrabortyICMR-National Institute of Cholera & Enteric Diseases, Kolkata, India.ORCID 0000-0001-6324-3905
National Institute of Cholera and Enteric Diseases · INChosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue and chikungunya are co-circulating vector-borne diseases that share a significant number of clinical symptoms. To identify variables to aid physicians in making rapid and effective diagnostic decisions, we performed molecular diagnosis of the chikungunya virus and examined the clinical manifestations of chikungunya cases to identify the prevalence among dengue-negative individuals in Kolkata. Dengue suspected patients' samples were collected during January 2020-December 2021 and Enzyme-linked immunosorbent assay (ELISA) and reverse transcription-polymerase chain reaction (RT-PCR) methods have been performed to confirm the prevalence of chikungunya infection among dengue-negative patients. By performing phylogenetic analysis, comparing clinical classifications, identifying disease aetiology using clinical and laboratory factors, and evaluating the time course of several clinical variables, we have evaluated the clinical manifestations linked to dengue and chikungunya virus infections. Chikungunya infection was found in 15.1% and 6.3% of the 635 dengue-negative patients, as determined by ELISA and RT-PCR, respectively. Arthritis and myalgia were more common in chikungunya-infected patients at the time of hospital admission while conjunctivitis, photosensitivity, arthralgia, Anorexia, fatigue, retro-orbital pain, vomiting, dermatitis, or swollen glands were significantly presented as an overlapping symptom. Although dengue and chikungunya infections have significant clinical overlap, basic clinical and laboratory criteria can predict these diseases at presentation for proper management. Effective management enables doctors to treat and care for patients properly and contributes to the development of control measures for these infections in a medical setting.

Indexed as

Chikungunya FeverChikungunya virusDengueAntibodies, ViralHumansIndiaPhylogenyAntibodies, Viral

Identifiers

PMID38573991
PMCPMC10994276
OpenAlexW4393929736

What OpenQuestion holds

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LicenceCC BY
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.