Evidence map›Paper›PMID 40710836›Full record

ArticleReports (MDPI)2025

Sodium Zirconium Cyclosilicate in the Gastrointestinal Tract Mimicking an Acute Gastrointestinal Bleed on CT.

John J Hines, Joshua Roberts, Douglas S Katz

Abstract read
In one paragraph

Article in Reports (MDPI), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

John J HinesDepartment of Radiology, Huntington Hospital, Northwell Health, Huntington, NY 11743, USA.
Joshua RobertsDepartment of Radiology and Biomedical Imaging, Yale-New Haven Hospital, New Haven, CT 06510, USA.
Douglas S KatzDepartment of Radiology, NYU Winthrop Hospital, Mineola, NY 11501, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperattenuating contents detected in the gastrointestinal (GI) tract on CT scans are commonly seen and are almost always due to the purposeful ingestion of an oral contrast agent, usually barium- or iodine-based, used for evaluating the GI tract. Occasionally, other ingested material such as antacids or other medications, foreign objects, and medical devices can also be hyperattenuating. While these are usually correctly identified, these materials can potentially be misdiagnosed as a pathologic condition. Lokelma (sodium zirconium cyclosilicate (SZC)) is an increasingly used agent to treat hyperkalemia and has a hyperattenuating appearance on CT due to the presence of zirconium. However, this is not well known to the radiologic community. Here, we describe a case where SZC was seen in the GI tract on CT and misinterpreted as an acute GI bleed. A 72-year-old woman underwent single (portal venous) phase intravenous contrast-enhanced abdominal and pelvic CT after presenting to the ED with a lower GI bleed. The CT showed intraluminal hyperattenuation within the cecum, which was diagnosed prospectively as an active GI bleed. A CT angiogram of the abdomen and pelvis performed the following day for follow-up showed the hyperattenuating contents to be present on the non-IV contrast-enhanced series of the study, thereby proving that it was not due to active bleeding. Further investigation of the patient's medical record showed that the patient was being treated with SZC for hyperkalemia, accounting for the hyperattenuating cecal contents. Awareness of the hyperattenuating appearance of SZC on CT by radiologists and clinical staff can help avoid confusion and misdiagnosis.

Indexed as

CT angiogramCT scanGI bleedhyperattenuating bowel contentslokelmasodium zirconium cyclosilicate

Identifiers

PMID40710836
PMCPMC12196680

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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.