Evidence map›Paper›PMID 31886625›Full record

ArticleJournal of medical radiation sciences2020

Analysis of time delay between computed tomography and digital subtraction angiography on the technical success of interventional embolisation for treatment of lower gastrointestinal bleeding.

Gillian Bruce, Brendan Erskine

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 11 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.

Gillian BruceDepartment of Radiology, Alfred Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5782-392X
Brendan ErskineDepartment of Radiology, Alfred Health, Melbourne, Victoria, Australia.
Alfred Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA retrospective study was undertaken to determine a potential relationship, based on the time delay, between a positive lower gastrointestinal bleed demonstrated on computed tomography (CT) and a positive digital subtraction angiographic (DSA) study and the impact on technical success.

methodsThis study investigated the correlation of time delays between imaging modalities and technical success with endovascular embolisation procedures over a 10-year period.

resultsA total of 110 patient events were analysed, and it was observed that the greater the time delay between modalities (up to 7 h), the weaker the correlation between a bleed observed on CT and DSA. This was also reflected by the technical success of the embolisation treatment. Patients experienced shorter delays when the event occurred out of normal business hours, however with decreased rates of technical success.

conclusionsThere is a suggestion patients should be escalated to the angiography suite for DSA imaging as soon as possible to maximise the ability to angiographically observe acute bleeding and treat appropriately with interventional embolisation. More research in this area is required to statistically confirm this.

Indexed as

AdultAgedAged, 80 and overAngiography, Digital SubtractionEmbolization, TherapeuticFemaleGastrointestinal HemorrhageHumansMaleMiddle AgedTimeTomography, X-Ray ComputedTreatment OutcomeComputed tomographydigital subtraction angiographyembolisationinterventional radiologylower gastrointestinal bleedingpositive correlationtechnical successtime delays

Identifiers

PMID31886625
PMCPMC7063255
OpenAlexW2997153566

What OpenQuestion holds

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LicenceCC BY
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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.