Evidence map›Paper›PMID 35222574›Full record

ArticleAfrican health sciences2021

A comparative study of serological diagnosis of Dengue outbreak 2019.

Muhammad Bilal Habib, Noreen Sher Akbar, Anber Saleem

Open access · diamondAbstract read
In one paragraph

Article in African health sciences, 2021. 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
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 1 country.

Muhammad Bilal HabibNational Institute of Health Islamabad Pakistan 44000.
Noreen Sher AkbarDBS&H CEME National University of Sciences and Technology, Islamabad, Pakistan.
Anber SaleemSchool of Dentistry, Shaheed zulfiqar ali Bhutto medical university Islamabad.
National Institute of Health · PKNational University of Technology · PKShaheed Zulfiqar Ali Bhutto Institute of Science and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe interpretation & correlation of the different laboratory parameters in positive dengue cases in order to evaluate that which laboratory test is more significant for diagnosis of Dengue.

methodsProspective examination of samples (patients' serum) for dengue virus of different genotype by using multiplex anti-dengue IgM, IgG. We have done NS-1 test by (ICT) immunochromatographic devices, and complete blood picture (CBC) by Sysmex XP-100.

resultDetection of Viral RNA in 100 patients showed effects in the total of 73 (73.0%) samples. This graphical comparison shows the whole positive cases including dengue NS-I antigen, dengue serology (IgM & IgG), total 62 positive cases of NS-I are detected, 10 positive cases of dengue IgM and 9 positive cases of IgG detected, in which Complete Blood Test (CBC) shows remarkable reduction in Platelets (32 cases) and Leucopenia in (24 positive cases).

conclusionIn this research, it is concluded that the diagnosis of dengue cases is preliminary limited to initial stages i.e. CBC or sometimes dengue NS-I, as dengue IgM severity is more effective than that of Dengue NS-I & IgG. Many patients who had negative results in CBC and NS-1 testing, became positive when IgM and IgG serology testing has been done.

Indexed as

DengueDengue VirusAntibodies, ViralDisease OutbreaksEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GImmunoglobulin MProspective StudiesSensitivity and SpecificityAntibodies, ViralImmunoglobulin GImmunoglobulin MDengueIgGIgMImmunochrometographic testNS-1

Identifiers

PMID35222574
PMCPMC8843274
OpenAlexW3204493921

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.