Evidence map›Paper›PMID 42099537›Full record

ReviewDrug, healthcare and patient safety2026

Computed Tomography Diagnostic Reference Levels Worldwide and in Jordan: Implications for Patient Dose Reduction.

Ammar A Oglat, Suhaib Shdaifat, Mohannad Adel Sayah, Ahmed Abukonna, Wadah M Ali Khogali

Abstract readReview
In one paragraph

Review in Drug, healthcare and patient safety, 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

5 authors.

Ammar A OglatDepartment of Medical Imaging, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, 13133, Jordan.ORCID 0000-0002-7907-6889
Suhaib ShdaifatDepartment of Medical Imaging, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, 13133, Jordan.
Mohannad Adel SayahDepartment of Radiography, Faculty of Allied Medical Sciences, Al-Hussein Bin Talal University, Ma'an, 71111, Jordan.
Ahmed AbukonnaCollege of Medical and Health Sciences, Liwa University, Abu Dhabi, United Arab Emirates.
Wadah M Ali KhogaliCollege of Medical and Health Sciences, Liwa University, Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) contributes substantially to medical radiation exposure, making diagnostic reference levels (DRLs) essential for dose optimization and patient protection. This narrative review summarizes international CT DRL practices and examines the current status of DRL development in Jordan. Published studies and key guidance documents addressing adult and pediatric CT DRLs, including CTDIvol, dose-length product (DLP), and size-specific dose estimate (SSDE) where available, were reviewed to identify common implementation approaches, frequently used dose metrics, and evidence gaps relevant to Jordan. The reviewed literature shows marked inter-country variation in DRL methodology, updating cycles, and regulatory integration. In Jordan, available studies demonstrate useful local and multicenter data, but routine CT practice still lacks a unified national DRL framework. Reported Jordanian values also show inter-institutional variability, highlighting the need for standardized data collection, regular auditing, and coordinated national oversight. Establishing national DRLs based on transparent methodology and periodic revision would strengthen radiation protection, improve protocol consistency, and support safer CT practice in Jordan.

Indexed as

computed tomographydiagnostic reference levelsJordanpatient safetyradiation protection

Identifiers

PMID42099537
PMCPMC13148269

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.