Evidence map›Paper›PMID 41758910›Full record

ArticlePLoS neglected tropical diseases2026

Establishing an external quality assurance scheme for the detection of Orientia tsutsugamushi IgM in clinical samples: Strengthening quality control of scrub typhus diagnosis in Indian laboratories.

Vimal Raj Ratchagadasse, Dinakaran Vasudevan, Ferdinamarie Sharmila Philomenadin, Haripriya Sivakumar, Nivedha Devanathan, Harmanmeet Kaur, Labanya Mukhopadhyay, Rahul Dhodapkar

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Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Vimal Raj RatchagadasseRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Dinakaran VasudevanRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Ferdinamarie Sharmila PhilomenadinRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Haripriya SivakumarRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Nivedha DevanathanRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Harmanmeet KaurIndian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India.
Labanya MukhopadhyayIndian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India.
Rahul DhodapkarRegional Level Virus Research and Diagnostic Laboratory (RVRDL), Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.ORCID https://orcid.org/0000-0002-8984-3332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scrub typhus, caused by Orientia tsutsugamushi, is a re-emerging zoonotic disease that is associated with significant morbidity and mortality in many parts of India. Early and accurate diagnosis, primarily through the detection of IgM antibodies, plays a pivotal role in patient management and disease surveillance. However, there is a paucity of diagnostic methods in our country, and only in recent years have more diagnostic assays been rolled out. To address the heterogeneity in the laboratory diagnosis of scrub typhus, an external quality assurance scheme (EQA Scheme) for the detection of O tsutsugamushi IgM (OTM) was conceptualized and implemented across a network of laboratories in India. This study provides detailed insight into the design, implementation, and outcomes of this EQA scheme initiative. Initially, a pilot phase was conducted among the 10 participant laboratories, and a total of 51 Virus Research and Diagnostic Laboratories (VRDLs) under DHR-ICMR undertaking OTM serology subsequently participated in the EQA Scheme. Proficiency testing (PT) panels consisting of 5 well-characterized and validated pooled serum samples were distributed to the participants for testing. Participating laboratories have employed various IgM detection methods, including ELISA and rapid immunochromatographic tests (ICTs). Performance was evaluated qualitatively based on the testing results and adherence to reporting timelines. Most laboratories demonstrated concordant results (n = 47) in OTM testing, while 4% of laboratories (n = 2) reported discordant results. The study underscores the vital role of an EQA scheme in ensuring quality-assured diagnostic testing for infectious diseases in the country and builds confidence in Indian laboratory results. Regular participation in such schemes, coupled with targeted capacity-building initiatives, can substantially improve laboratory diagnostics, facilitate timely clinical interventions, and contribute to a more robust national surveillance system. This model may serve as a foundation for strengthening quality assurance frameworks for other emerging infectious diseases in India and similar low- and middle-income settings.

Indexed as

Antibodies, BacterialImmunoglobulin MOrientia tsutsugamushiQuality Assurance, Health CareScrub TyphusEnzyme-Linked Immunosorbent AssayHumansIndiaQuality ControlSensitivity and SpecificityAntibodies, BacterialImmunoglobulin M

Identifiers

PMID41758910
PMCPMC12948066

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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.