Evidence map›Paper›PMID 29806618›Full record

ArticleIndustrial health2018

Assessment of physicians' proficiency in reading chest radiographs for pneumoconiosis, based on a 60-film examination set with two factors constituting eight indices.

Taro Tamura, Yukinori Kusaka, Narufumi Suganuma, Kazuhiro Suzuki, Ponglada Subhannachart, Somkiat Siriruttanapruk, Narongpon Dumavibhat, Xing Zhang, Prahalad K Sishodiya, Tran Anh Thanh and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Industrial health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 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

16 authors at 15 institutions in 8 countries.

Taro TamuraDepartment of Environmental Health, School of Medicine, University of Fukui, Japan.
Yukinori KusakaDepartment of Environmental Health, School of Medicine, University of Fukui, Japan.
Narufumi SuganumaDepartment of Environmental Medicine, Kochi University School of Medicine, Japan.
Kazuhiro SuzukiDepartment of Radiology, Juntendo University, Japan.
Ponglada SubhannachartCentral Chest Institute of Thailand, Thailand.
Somkiat SiriruttanaprukDepartment of Disease Control, Ministry of Public Health, Thailand.
Narongpon DumavibhatDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand.
Xing ZhangZhejiang Academy of Medical Sciences, China.
Prahalad K SishodiyaNational Institute of Miners' Health, India.
Tran Anh ThanhMinistry of Occupational Health, Vietnam.
Kurt G HeringDepartment of Diagnostic Radiology, Radio-oncology and Nuclear Medicine, Radiological Clinic, Miner's Hospital, Germany.
John E ParkerPulmonary and Critical Care Medicine, Robert C. Byrd Health Sciences Center, School of Medicine, West Virginia University, USA.
Eduardo AlgrantiDivisao de Medicina, Fundacentro, Brazil.
Francisco Santos O'ConnorInternational Labor Office, Switzerland.
Hisao ShidaCommittee of Compensation of Asbestos-related Diseases, Ministry of the Environment, Japan.
Masanori AkiraDepartment of Radiology, National Hospital Organization Kinki-Chuo Chest Medical Center, Japan.
University of Fukui · JPCentral Chest Institute of Thailand · THFundace · BRInternational Labour Organization · CHJuntendo University · JPKōchi University · JPMinistry of Health · VNMinistry of Public Health · THMinistry of the Environment · JPNational Institute of Occupational Health · INNational Kinki Chuo Hospital for Chest Disease · JPSiriraj Hospital · THUniversity Radiology · USWest Virginia University · USZhejiang Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two hundred and thirty-three individuals read chest x-ray images (CXR) in the Asian Intensive Reader of Pneumoconiosis (AIR Pneumo) workshop. Their proficiency in reading CXR for pneumoconiosis was calculated using eight indices (X1-X8), as follows: sensitivity (X1) and specificity (X2) for pneumoconiosis; sensitivity (X3) and specificity (X4) for large opacities; sensitivity (X5) and specificity (X6) for pleural plaques; profusion increment consistency (X7); and consistency for shape differentiation (X8). For these eight indices, one-way analysis of variance (ANOVA) and Scheffe's multiple comparison were conducted on six groups, based on the participants' specialty: radiology, respiratory medicine, industrial medicine, public health, general internal medicine, and miscellaneous physicians. Our analysis revealed that radiologists had a significant difference in the mean scores of X3, X5, and X8, compared with those of all groups, excluding radiologists. In the factor analysis, X1, X3, X5, X7, and X8 constituted Factor 1, and X2, X4, and X6 constituted Factor 2. With regard to the factor scores of the six participant groups, the mean scores of Factor 1 of the radiologists were significantly higher than those of all groups, excluding radiologists. The two factors and the eight indices may be used to appropriately assess specialists' proficiency in reading CXR.

Indexed as

Clinical CompetenceEducation, Medical, ContinuingFactor Analysis, StatisticalHumansPneumoconiosisRadiography, ThoracicSensitivity and SpecificityChest x-ray imageFactor analysisInternational Labor Organization ClassificationPneumoconiosisSensitivitySpecificity

Identifiers

PMID29806618
PMCPMC6172186
OpenAlexW2804405658

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.