Evidence map›Paper›PMID 36799998›Full record

ReviewAbdominal radiology (New York)2023

The why, who, how, and what of communicating CT radiation risks to patients and healthcare providers.

Nayla Mroueh, Anushri Parakh, Jessica Serrao, Susanna I Lee, Brian H Eisner, Debra A Gervais, Avinash R Kambadakone, Dushyant V Sahani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
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

8 authors at 3 institutions in 1 country.

Nayla Mroueh *Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Anushri Parakh *Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Jessica SerraoDepartment of Allied Health Sciences, University of CT, Storrs, CT, 06269-1101, USA.
Susanna I LeeDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Brian H EisnerDepartment of Urology, Massachusetts General Hospital, 15 Parkman Street, Boston, MA, 02114, USA.
Debra A GervaisDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Avinash R KambadakoneDepartment of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA. akambadakone@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-6714-9190
Dushyant V SahaniDepartment of Radiology, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
Massachusetts General Hospital · USUniversity of Connecticut · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) has witnessed tremendous growth in utilization. Despite its immense benefits, there is a growing concern from the general public and the medical community about the detrimental consequences of ionizing radiation from CT. Anxiety from the perceived risks associated with CT can deter referring physicians from ordering clinically indicated CT scans and patients from undergoing medically necessary exams. This article discusses various strategies for educating patients and healthcare providers on the benefits and risks of CT scanning and salient techniques for effective communication.

Indexed as

Health PersonnelTomography, X-Ray ComputedHumansRadiation DosageComputed tomographyCT scansRadiation exposureRadiation risks

Identifiers

PMID36799998
OpenAlexW4321165951

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.