Evidence map›Paper›PMID 30860022›Full record

ArticleThe American journal of tropical medicine and hygiene2019

Determination of Optimal Diagnostic Cut-Offs for the Naval Medical Research Center Scrub Typhus IgM ELISA in Chiang Rai, Thailand.

Meghna Phanichkrivalkosil, Ampai Tanganuchitcharnchai, Suthatip Jintaworn, Pacharee Kantipong, Achara Laongnualpanich, Wirongrong Chierakul, Daniel H Paris, Allen L Richards, Tri Wangrangsimakul, Nicholas P J Day and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  6. Estimating the Seroprevalence of Scrub Typhus in Nepal.Pathogens (Basel, Switzerland) · 2024
    Article
  7. Scrub typhus in Indonesia: A cross-sectional analysis of archived fever studies samples.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024
    Article
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  12. Observational
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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

11 authors at 4 institutions in 4 countries.

Meghna PhanichkrivalkosilMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Ampai TanganuchitcharnchaiMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Suthatip JintawornMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Pacharee KantipongChiangrai Prachanukroh Hospital, Chiang Rai, Thailand.
Achara LaongnualpanichChiangrai Prachanukroh Hospital, Chiang Rai, Thailand.
Wirongrong ChierakulMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Daniel H ParisFaculty of Medicine, University of Basel, Basel, Switzerland.
Allen L RichardsDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Tri WangrangsimakulCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom.
Nicholas P J DayCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom.
Stuart D BlacksellCentre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom.
Mahidol University · THMahidol Oxford Tropical Medicine Research Unit · THChiangRai Prachanukroh Hospital · THUniformed Services University of the Health Sciences · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

In this diagnostic accuracy study, we evaluated data from 135 febrile patients from Chiang Rai, to determine the optimal optical density (OD) cutoffs for an in-house scrub typhus IgM ELISA. Receiver operating characteristic curves were generated using a panel of reference assays, including an IgM immunofluorescence assay (IFA), PCR, in vitro isolation, presence of an eschar, or a combination of these. Altogether, 33 patients (24.4%) were diagnosed as having scrub typhus. Correlation between positivity by IFA and increasing OD values peaked at a cutoff of 2.0, whereas there was little association between positivity by culture or eschar with increasing ELISA cutoffs-cutoffs of 3.0 and 4.0 were demonstrated to be optimal for the total absorbance of the OD at dilutions 1:100, 1:400, 1:1,600, and 1:6,400, for admission and convalescent samples, respectively. The optimal cutoff at a 1:100 dilution was found to be between 1.85 and 2.22 for admission samples and convalescent-phase samples, respectively. Sensitivities for the cutoffs varied from 57.1% to 90.0% depending on the reference test and sample timing, whereas specificities ranged from 85.2% to 99.0%. We therefore recommend a cutoff of around 2.0, depending on the sensitivity and specificity desired in clinical or epidemiological settings. The results demonstrate the ELISA to be a valuable diagnostic tool, suitable for use in resource-limited endemic regions, especially when used in combination with other diagnostic modalities such as the presence of an eschar.

Indexed as

AdultAntibodies, BacterialClinical Laboratory TechniquesEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin MMaleMiddle AgedOrientia tsutsugamushiReproducibility of ResultsROC CurveScrub TyphusSensitivity and SpecificityThailandAntibodies, BacterialImmunoglobulin M

Identifiers

PMID30860022
PMCPMC6493932
OpenAlexW2920897986

What OpenQuestion holds

Textmetadata
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.