Evidence map›Paper›PMID 38889190›Full record

ArticlePLoS neglected tropical diseases2024

Evaluation of copromicroscopy, multiplex-qPCR and antibody serology for monitoring of human ascariasis in endemic settings.

Robert M Mugo, Sebastian Rausch, Zaneta D Musimbi, Christina Strube, Marie-Kristin Raulf, Olfert Landt, Paul M Gichuki, Friederike Ebner, Jedidah Mwacharo, Maurice R Odiere and 3 more

Abstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Paired-Marker Framework for Interpreting Anti-Pathogens (Basel, Switzerland) · 2026
    Article
  3. 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

13 authors.

Robert M MugoInstitute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0001-7209-4614
Sebastian RauschInstitute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany.
Zaneta D MusimbiInstitute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany.
Christina StrubeInstitute for Parasitology, Centre for Infection Medicine, University of Veterinary Medicine Hannover, Hannover, Germany.
Marie-Kristin RaulfInstitute for Parasitology, Centre for Infection Medicine, University of Veterinary Medicine Hannover, Hannover, Germany.
Olfert LandtTIB Molbiol Syntheselabor GmbH, Berlin, Germany.
Paul M GichukiEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research, Nairobi, Kenya.
Friederike EbnerInstitute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany.
Jedidah MwacharoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Maurice R OdiereCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Francis M NdunguKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Doris W NjomoEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research, Nairobi, Kenya.
Susanne HartmannInstitute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0001-6846-0650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe standard diagnosis of Ascaris lumbricoides and other soil-transmitted helminth (STH) infections relies on the detection of worm eggs by copromicroscopy. However, this method is dependent on worm patency and shows only limited accuracy in low-intensity infection settings. We aimed to decipher the diagnostic accuracy of different antibodies using various Ascaris antigens in reference to copromicroscopy and quantitative PCR (qPCR), four months after national STH preventative chemotherapy among school children in western Kenya. METHODOLOGY: STH infection status of 390 school children was evaluated via copromicroscopy (Kato-Katz and mini-FLOTAC) and qPCR. In parallel, Ascaris-specific antibody profiles against larval and adult worm lysates, and adult worm excretory-secretory (ES) products were determined by enzyme-linked immunosorbent assay. Antibody cross-reactivity was evaluated using the closely related zoonotic roundworm species Toxocara cati and Toxocara canis. The diagnostic accuracy of each antibody was evaluated using receiver operating curve analysis and the correspondent area under the curve (AUC). PRINCIPAL

findingsAscaris was the predominant helminth infection with an overall prevalence of 14.9% (58/390). The sensitivity of mini-FLOTAC and Kato-Katz for Ascaris diagnosis reached only 53.5% and 63.8%, respectively compared to qPCR. Although being more sensitive, qPCR values correlated with microscopic egg counts (R = -0.71, P<0.001), in contrast to antibody levels. Strikingly, IgG antibodies recognizing the ES products of adult Ascaris worms reliably diagnosed active Ascaris infection as determined by qPCR and microscopy, with IgG1 displaying the highest accuracy (AUC = 0.83, 95% CI: 0.75-0.91).

conclusionIgG1 antibody responses against adult Ascaris-ES products hold a promising potential for complementing the standard fecal and molecular techniques employed for monitoring Ascaris infections. This is of particular importance in the context of deworming programs as the antibody diagnostic accuracy was independent of egg counts.

Indexed as

Antibodies, HelminthAscariasisFecesSensitivity and SpecificityAdolescentAnimalsAntigens, HelminthAscarisAscaris lumbricoidesChildEndemic DiseasesEnzyme-Linked Immunosorbent AssayFemaleHumansKenyaMaleAntibodies, HelminthAntigens, Helminth

Identifiers

PMID38889190
PMCPMC11216587

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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.