Evidence map›Paper›PMID 23569876›Full record

ArticleAsian Pacific journal of tropical biomedicine2012

Mass scale screening of common arboviral infections by an affordable, cost effective RT-PCR method.

Debjani Taraphdar, Arindam Sarkar, Shyamalendu Chatterjee

Open access · bronzeAbstract read
In one paragraph

Article in Asian Pacific journal of tropical biomedicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Distribution and mitochondrial CO1-based genetic diversity ofSaudi journal of biological sciences · 2023
    Article
  2. Differential genotypic signatures of Toll-like receptor polymorphisms among dengue-chikungunya mono- and co-infected Eastern Indian patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  3. Phylogenetic Analysis ofIranian journal of biotechnology · 2016
    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 1 institution in 1 country.

Debjani TaraphdarIndian Council of Medical Research Virus Unit, Kolkata.
Arindam Sarkar
Shyamalendu Chatterjee
Virus Unit · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a rapid, cost effective RT-PCR method for the mass scale diagnosis of such diseases at the viremia stage to find out the actual disease burden in that area.

methodsFor this purpose, cases with the history of only short febrile illness were considered. Thus 157 samples with the history of dengue/chikungunya like illness and only 58 samples with a history of acute encephalitis syndrome (AES) were selected.

resultsOut of 157 samples, 42 and 74 were detected as dengue and chikungunya, respectively and out of 58 AES cases only 23 could be detected as Japanese encephalitis by this RT-PCR method.

conclusionsThis cost effective RT-PCR method can detect the total positive cases that remain undetected by ELISA method. Moreover, this method is capable to detect the viral RNA from patients' sera even after the appearance of IgM antibody at one fifth costs as compared with the other commercially available kits.

Indexed as

Antibodies, ViralArbovirusesArbovirus InfectionsChikungunya FeverDengueEncephalitis, JapaneseEncephalitis Virus, JapaneseFeverHumansImmunoglobulin MMass ScreeningReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityViremiaAntibodies, ViralImmunoglobulin MRNA, ViralArbovirusCost effective RT-PCR methodMass screening

Identifiers

PMID23569876
PMCPMC3609252
OpenAlexW2052604073

What OpenQuestion holds

Textmetadata
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.