Evidence map›Paper›PMID 36846076›Full record

ArticleIJID regions2023

External quality assurance of serological diagnosis of dengue, chikungunya and Japanese encephalitis virus infection.

Gururaj Rao Deshpande, Ketki Deshpande, Mandeep Kaur, Rajlakshmi Vishwanathan, Sanskriti Saka, Rashi Srivastava, Shankar Vidhate, Kirtee Khutwad, Asha Salunke, Vaishali Bhatt and 8 more

Abstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

18 authors.

Gururaj Rao DeshpandeDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Ketki DeshpandeDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Mandeep KaurDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Rajlakshmi VishwanathanDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Sanskriti SakaDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Rashi SrivastavaDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Shankar VidhateDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Kirtee KhutwadDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Asha SalunkeDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Vaishali BhattDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Rashmi GunjikarDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Bipin TilekarDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Roshani PatilDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.
Harmanmeet KaurVirology Unit, Indian Council of Medical Research, New Delhi, India.
Neetu VijayVirology Unit, Indian Council of Medical Research, New Delhi, India.
Jitendra NarayanVirology Unit, Indian Council of Medical Research, New Delhi, India.
Nivedita GuptaVirology Unit, Indian Council of Medical Research, New Delhi, India.
Gajanan SapkalDiagnostic Virology Group, Indian Council of Medical Research-National Institute of Virology, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dengue, chikungunya and Japanese encephalitis are the most common arthropod-borne viral diseases in India. Due to overlapping clinical symptoms, accurate, high-quality and timely laboratory-based differential diagnosis is essential for control and containment of outbreaks. This is most commonly done by detection of IgM antibodies in serum using enzyme-linked immunosorbent assays. The Resource Centre for Virus Research and Diagnostic Laboratories (VRDLs) in Pune, India organized an external quality assurance (EQA) study to check the accuracy of serological diagnostics in the VRDL network. Methods: Three panels, one each for anti-dengue virus, anti-chikungunya virus and anti-Japanese encephalitis virus IgM antibodies, comprising six human serum samples (two positive and four negative) were distributed to test the sensitivity, specificity and reproducibility of serological testing in 124 VRDLs across India in 2018-19 and 2019-20. Results: Among the 124 VRDLs, the average concordance for both 2018-19 and 2019-20 was 98%. In 2018-19, 78.33%, 13.33% and 6.66% of VRDLs reported 100% concordance, 91-99% concordance and 81-90% concordance with the reference results, respectively, and 1.66% of VRDLs had concordance <80%. In 2019-20, 79.68%, 14.06% and 4.68% of VRDLs reported 100% concordance, 91-99% concordance and 81-90% concordance with the reference results, respectively, and 1.56% of VRDLs had concordance <80%. Conclusion: The EQA programme was beneficial for assessing and understanding the performance of the VRDLs. The study data indicate good proficiency in serological diagnosis of dengue, chikungunya and Japanese encephalitis in the VRDL network laboratories. Further expansion of the EQA programme to cover other viruses of public health importance will increase confidence among the VRDL network, and generate evidence of high-quality testing.

Indexed as

ChikungunyaDengueExternal quality assuranceJapanese encephalitisSerological diagnosis

Identifiers

PMID36846076
PMCPMC9945709

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LicenceCC BY-NC-ND
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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.