Evidence map›Paper›PMID 36258927›Full record

ArticleCureus2022

Improved Interobserver Reliability in Diagnosing and Staging Lesions of COVID-19 Between Radiologist and Emergency Medicine Physicians After an Online Course.

Ashima Sharma, Madhuri Howdekar, Sarat Chandra U, Nithya Shreya Meghna, Abhishek J Arora

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Ashima SharmaDepartment of Emergency Medicine, Nizam's Institute of Medical Sciences, Hyderabad, IND.
Madhuri HowdekarDepartment of Radiology and Imgeology, Nizam's Institute of Medical Sciences, Hyderabad, IND.
Sarat Chandra UDepartment of Emergency Medicine, Nizam's Institute Of Medical Sciences, Hyderabad, IND.
Nithya Shreya MeghnaDepartment of Emergency Medicine, Nizam's Institute of Medical Sciences, Hyderabad, IND.
Abhishek J AroraDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
All India Institute of Medical Sciences · INNizam's Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest radiographs are the most basic and readily available imaging modality for visualizing the lungs and are potentially useful for describing the disease severity in patients showing respiratory symptoms in COVID-19 patients. The early diagnosis of COVID-19 features on radiography helps in triaging and starting treatment. MATERIAL AND

methodsOur study consisted of 145 radiographs, and these were reported by two radiologists, two emergency physicians and one intern working in the Emergency department. The scores given by them were correlated. A targeted short lecture for the scoring was imparted and after a sufficient latent period the scoring of chest radiographs was done again, and the scores correlated and compared.

resultsWe observed agreement between radiologists with emergency medicine physicians was "none to slight" to "fair," before the dedicated online teaching course. Following the meeting, there was an increase in interobserver agreement in-between radiologists and between radiologists and emergency medicine physicians.

conclusionsWe propose a focused online meeting, targeted at explaining radiological features of a specific pathology, in a pandemic situation like COVID, to our clinical counterparts in the emergency medicine department can help in increasing their interpretation skills. This can directly benefit triaging, admission/discharge and monitoring of the status of patients, in intensive care units and emergency medicine. This also helps in allaying the anxiety, while waiting for a final report from the Radiologist.

Indexed as

chest infectioncovid 19diagnostic radiologistemergency medicine physicianradiographic interpretation

Identifiers

PMID36258927
PMCPMC9569417
OpenAlexW4296280660

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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.