Evidence map›Paper›PMID 42751976›Full record

ArticleVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association2026

Scintigraphic Characteristics of the Occipitoatlantoaxial Region in Clinically Sound Horses.

Mahmoud Mageed, Magdalena Podsobińska, Maciej Przewoźny

Abstract read
In one paragraph

Article in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association, 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
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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

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

3 authors.

Mahmoud MageedEquipixel Veterinary Teleradiology, Bakum, Germany.ORCID https://orcid.org/0000-0003-2686-0407
Magdalena PodsobińskaDechra Veterinary Products Sp. z O.O., Warszawa, Poland.
Maciej PrzewoźnyEqui Vet Serwis Klinika dla Koni Sp. z o.o, Buk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The equine occipitoatlantoaxial (OAA) region is biomechanically complex, yet normative scintigraphic reference data for this area are lacking. This retrospective study characterized the physiological radiopharmaceutical uptake pattern in the OAA region of 60 clinically sound horses, assigned equally into four age groups: under 6 years (Group A), 6-10 years (Group B), 11-15 years (Group C), and over 15 years (Group D). A standardized, semiquantitative analysis of lateral bone-phase scintigrams was performed using region of interest (ROI) ratios to determine uptake patterns. A highly consistent pattern was observed across all groups, with the atlantoaxial region (cranial C2) demonstrating the highest uptake, approximately 5.8 times greater (SD 1.93; 95% CI: [5.6-6.6]) than the lowest uptake in the atlanto-occipital region. While age had no significant overall effect on the pattern, Group C (11-15 years) showed slightly higher uptake in the ventral atlas (ROI vC1) and cranial axis (ROI C2) compared to other groups. This study provides the first detailed baseline of normal OAA scintigraphic appearance across a representative age range, establishing essential reference data to improve diagnostic accuracy for cervical pathology in clinical practice.

Indexed as

Atlanto-Axial JointAtlanto-Occipital JointRadionuclide ImagingAnimalsFemaleHorsesMaleRadiopharmaceuticalsReference ValuesRetrospective StudiesRadiopharmaceuticalsatlantoaxial jointatlanto‐occipital jointcervical spinenuclear imaging

Identifiers

PMID42751976
PMCPMC13584237

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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 OpenQuestion graph.