Evidence map›Paper›PMID 36199970›Full record

ArticleComputational intelligence and neuroscience2022

Accuracy of Brain Computed Tomography Diagnosis by Emergency Medicine Physicians.

Zohair Al Aseri, Mohamed Al Aqeel, Badr Aldawood, Fahad Albadr, Rawan Ghandour, Abdulaziz Al Mulaik, Mohammed A Malabarey, Anas Khan

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Zohair Al AseriDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-9869-7544
Mohamed Al AqeelDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Badr AldawoodDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Fahad AlbadrRadiology and Medical Imaging, Neuroradiology, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Rawan GhandourDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Abdulaziz Al MulaikDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Mohammed A MalabareyDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Anas KhanDepartment of Emergency Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-5075-7392
King Saud Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study is to prospectively analyze emergency physicians' (EP's) abilities to interpret noncontrast computed tomography (NCCT) brain images in a blinded fashion and assess whether they can make medical decisions solely based on their interpretations. Methods: A cross-sectional study was conducted at the emergency department (ED), King Saud University Medical City (KSU-MC), Saudi Arabia, over a period of one year, from May 2014 to May 2015. Any patient who underwent plain brain NCCT during the study period in our ED was included in this study. An independent attending neuroradiologist compared the EP's interpretations with the official final reports dictated by an on-call radiologist. Results: A brain NCCT prospective chart audit of 1,524 patients was interpreted by ED physicians (EP) at KSU-MC from 2014-2015. The ages of patients were between 14 and 107 years, and the mean ± SD age was 45.6 ± 22.1 years. Radiological brain lesions were confirmed by EPs and radiology physicians in 230 (15.09) and 239 (15.68) patients, respectively, out of which concordance was observed in 170 (71.13) cases, with a kappa value of Conclusion: Emergency physicians are moderately accurate at interpreting brain NCCT compared to radiologists. More research is needed to discover the most cost-effective technique for reducing the number of significant misinterpretations.

Indexed as

Emergency MedicinePhysiciansAdolescentAdultAgedAged, 80 and overClinical CompetenceCross-Sectional StudiesHumansMiddle AgedProspective StudiesTomography, X-Ray ComputedYoung Adult

Identifiers

PMID36199970
PMCPMC9529454
OpenAlexW4297103122

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.