Evidence map›Paper›PMID 28070242›Full record

ReviewWorld journal of radiology2016

Computed tomography and patient risk: Facts, perceptions and uncertainties.

Stephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher

Abstract readReview
In one paragraph

Review in World journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

115 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Observational
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55 more citing papers are in PubMed but not listed here.

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

6 authors.

Stephen P PowerStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.
Fiachra MoloneyStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.
Maria TwomeyStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.
Karl JamesStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.
Owen J O'ConnorStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.
Michael M MaherStephen P Power, Fiachra Moloney, Maria Twomey, Karl James, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Wilton, Cork T12 DC4A, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its introduction in the 1970s, computed tomography (CT) has revolutionized diagnostic decision-making. One of the major concerns associated with the widespread use of CT is the associated increased radiation exposure incurred by patients. The link between ionizing radiation and the subsequent development of neoplasia has been largely based on extrapolating data from studies of survivors of the atomic bombs dropped in Japan in 1945 and on assessments of the increased relative risk of neoplasia in those occupationally exposed to radiation within the nuclear industry. However, the association between exposure to low-dose radiation from diagnostic imaging examinations and oncogenesis remains unclear. With improved technology, significant advances have already been achieved with regards to radiation dose reduction. There are several dose optimization strategies available that may be readily employed including omitting unnecessary images at the ends of acquired series, minimizing the number of phases acquired, and the use of automated exposure control as opposed to fixed tube current techniques. In addition, new image reconstruction techniques that reduce radiation dose have been developed in recent years with promising results. These techniques use iterative reconstruction algorithms to attain diagnostic quality images with reduced image noise at lower radiation doses.

Indexed as

CarcinogenesisComputed tomographyIterative reconstructionNeoplasiaRadiation dose

Identifiers

PMID28070242
PMCPMC5183924

What OpenQuestion holds

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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.