Evidence map›Paper›PMID 34124580›Full record

ArticleChinese journal of academic radiology2021

Digital radiograph rejection analysis during "Coronavirus disease 2019 (COVID-19) pandemic" in a tertiary care public sector hospital in Khyber Pakhtunkhwa Province of Pakistan.

Amir Ali, Muhammad Yaseen

Open access · bronzeAbstract read
In one paragraph

Article in Chinese journal of academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Amir AliDepartment of Radiology, Lady Reading Hospital (Medical Teaching Institute) Peshawar, Soekarno Rd, PTCL Colony, Peshawar, 25000 Pakistan.
Muhammad YaseenDepartment of Radiology, Lady Reading Hospital (Medical Teaching Institute) Peshawar, Soekarno Rd, PTCL Colony, Peshawar, 25000 Pakistan.ORCID 0000-0002-0877-329X
Lady Reading Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluation of X-ray reject analysis is an important quality parameter in diagnostic facility. The aim of this study was to find out the radiograph rejection and its causes during the coronavirus disease 2019 (COVID-19) pandemics as there was fear of coronavirus disease infection among the technical staff from the incoming patients in a busy, high volume public sector tertiary care hospital. MATERIALS AND

methodThis descriptive study was conducted at Radiology Department, Lady Reading Hospital, Peshawar from August to November, 2020. The rejected radiographs and their causes were analyzed.

resultsA total of 15,000 X-ray procedures were conducted during study period out of which 2550 cases were repeated making the total rejection 17%. Rejection in male and female were 74.3 and 25.7%, respectively, while rejection in adults was (80.1%) and (19.9%) in pediatric age group of the total rejection. The main cause of rejection was positioning (30.5%) followed by artifacts (22.4%), motion (12.1%), improper collimation (10%), wrong labeling (8.4%), exposure errors (6.9%), detector errors (3.7%), machine faults (2.8%), re-request from referring physician (1.7%), and PACS issues (1.5%). In terms of body anatomical parts, the highest rejection was observed in extremities (44.1%), followed by chest radiography (23.3%), spine (11.4%), abdomen (6.4%), skull (5.9%), pelvis (4.7%), KUB (3.7%), and neck (0.6%), respectively.

conclusionRadiograph rejection is common problem in every diagnostic facility but significant reduction can be achieved by implementing rejection analysis as basic quality indicator, and conducting technologist/s specific training programs for their knowledge and skill enhancement.

Indexed as

ArtifactsPicture archiving and communication systemQuality assuranceQuality controlRejection analysis program

Identifiers

PMID34124580
PMCPMC8181538
OpenAlexW3166994721

What OpenQuestion holds

Textmetadata
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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.