Evidence map›Paper›PMID 42375967›Full record

ArticleOpen veterinary journal2026

Mohamed Abdaljwad, Mohammad N S Al-Sabi, Turke Shawaf, Ahmed Al Mokahwi, Walid Alfares, Ayham Abdalkader

Abstract read
In one paragraph

Article in Open veterinary journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Mohamed AbdaljwadDepartment of Microbiology, College of Veterinary Medicine, Idlib University, Idlib, Syria.
Mohammad N S Al-SabiDepartment of Basic Medical Veterinary Sciences, Jordan University of Science & Technology, Irbid, Jordan.
Turke ShawafDepartment of Clinical Sciences, College of Veterinary Medicine, King Faisal University, Al-Ahsa, Saudi Arabia.
Ahmed Al MokahwiDepartment of Clinical Sciences, College of Veterinary Medicine, King Faisal University, Al-Ahsa, Saudi Arabia.
Walid AlfaresDepartment of Field Crops, Faculty of Agricultural Engineering, Idlib University, Idlib, Syria.
Ayham AbdalkaderDepartment of Nutrition, College of Veterinary Medicine, Idlib University, Idlib, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Equine babesiosis is one of the prevalent diseases in horses worldwide, but its presence in Syria generally and in the northern region specifically is not known. In Syria, the civil war has severely disrupted veterinary services, hence disease control measures, creating a fertile ground for the spread of tick-borne diseases. Aim: This study aimed to conduct a comprehensive molecular and serological survey of Methods: A total of 110 Arabian horses, aged between 2 and 10 years, were included in the study. Each horse underwent a thorough clinical examination and blood analysis. The blood sample was taken from each animal for hematological and immunological analysis, including competitive enzyme-linked immunosorbent assay (cELISA) and polymerase chain reaction (PCR). Results: Clinical signs of piroplasmosis, such as fever, jaundice, anorexia, and lethargy, were observed in only a small fraction of the horses (4/110). Hematological analysis of these symptomatic horses revealed a significant decrease in lymphocyte, hematocrit, and platelet counts compared to their healthy counterparts. The cELISA detected antibodies against Conclusion: The current results confirm the widespread exposure of horses in Northern Syria to

Indexed as

BabesiaBabesiosisHorse DiseasesTheileriaTheileriasisAnimalsEnzyme-Linked Immunosorbent AssayFemaleHorsesMalePolymerase Chain ReactionPrevalenceSeroepidemiologic StudiesSyriaELISAHorsePCRPiroplasmosisSyria

Identifiers

PMID42375967
PMCPMC13314105

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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.