Evidence map›Paper›PMID 40837204›Full record

ArticleParasite epidemiology and control2025

The use of systemic immune inflammatory index as a predictor for nematodes infections in horses.

Falmata Kyari, Cephas Joseph Pogu, Ismaila Alhaji Mairiga, Lawan Adamu

Abstract read
In one paragraph

Article in Parasite epidemiology and control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Falmata KyariFaculty of Veterinary Medicine, Department of Veterinary Parasitology, University of Maiduguri, Maiduguri P.M.B. 1069, Borno State, Nigeria.
Cephas Joseph PoguFaculty of Veterinary Medicine, Department of Veterinary Medicine, University of Maiduguri, Maiduguri P.M.B. 1069, Borno State, Nigeria.
Ismaila Alhaji MairigaFaculty of Veterinary Medicine, Department of Veterinary Medicine, University of Maiduguri, Maiduguri P.M.B. 1069, Borno State, Nigeria.
Lawan AdamuFaculty of Veterinary Medicine, Department of Veterinary Medicine, University of Maiduguri, Maiduguri P.M.B. 1069, Borno State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nematode infections are a significant health concern in horses, causing a range of clinical signs and economic losses. Early detection and diagnosis are crucial for effective treatment and management. Objectives: Examining the application of the systemic immune Inflammatory index (SII) as a predictor for nematode infections in horses, using platelets count, leucocytes count, and neutrophils count. Methods: A cross-sectional study was conducted on 164 horses, consisting of 66 horses with nematode infections and 98 horses without infections. The SII was computed using the platelets count, leucocytes count, and neutrophils count. Receiver operating characteristic (ROC) curve analysis was used to evaluate the SII's diagnostic accuracy. Results: Nematode infections were severe in horses with mixed infections, with an average of 1805.90 ± 292.68 eggs per gram (epg). Notably, among specific species, Conclusion: The study demonstrated that the SII is a reliable predictor for nematode infections in horses, using platelets count, leucocytes count, and neutrophils count. The SII is a non-invasive, reasonably priced method for identifying and diagnosing nematode infections in horses.

Indexed as

HorsesLeucocytesNematodeNeutrophilsPlateletsSystemic immune inflammatory index

Identifiers

PMID40837204
PMCPMC12361788

What Socratic holds

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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 Socratic graph.